Remove verified legacy Loop paths after rename
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- loop_ifm_freshkv_7b_20260920-213933/step_26703/README.md +0 -50
- loop_ifm_freshkv_7b_20260920-213933/step_26703/config.json +0 -1431
- loop_ifm_freshkv_7b_20260920-213933/step_26703/launch_config.env +0 -12
- loop_ifm_freshkv_7b_20260920-213933/step_26703/manifest.json +0 -25
- loop_ifm_freshkv_7b_20260920-213933/step_26703/model.safetensors +0 -3
- loop_ifm_freshkv_7b_20260920-213933/step_26703/training_recipe.json +0 -163
- loop_ifm_sharekv_7b_20260920-153012/step_12000/README.md +0 -50
- loop_ifm_sharekv_7b_20260920-153012/step_12000/config.json +0 -1414
- loop_ifm_sharekv_7b_20260920-153012/step_12000/launch_config.env +0 -12
- loop_ifm_sharekv_7b_20260920-153012/step_12000/manifest.json +0 -25
- loop_ifm_sharekv_7b_20260920-153012/step_12000/model.safetensors +0 -3
- loop_ifm_sharekv_7b_20260920-153012/step_12000/training_recipe.json +0 -163
- loop_ifm_sharekv_7b_20260920-153012/step_16000/README.md +0 -50
- loop_ifm_sharekv_7b_20260920-153012/step_16000/config.json +0 -1414
- loop_ifm_sharekv_7b_20260920-153012/step_16000/launch_config.env +0 -12
- loop_ifm_sharekv_7b_20260920-153012/step_16000/manifest.json +0 -25
- loop_ifm_sharekv_7b_20260920-153012/step_16000/model.safetensors +0 -3
- loop_ifm_sharekv_7b_20260920-153012/step_16000/training_recipe.json +0 -163
- loop_ifm_sharekv_7b_20260920-153012/step_20000/README.md +0 -50
- loop_ifm_sharekv_7b_20260920-153012/step_20000/config.json +0 -1414
- loop_ifm_sharekv_7b_20260920-153012/step_20000/launch_config.env +0 -12
- loop_ifm_sharekv_7b_20260920-153012/step_20000/manifest.json +0 -25
- loop_ifm_sharekv_7b_20260920-153012/step_20000/model.safetensors +0 -3
- loop_ifm_sharekv_7b_20260920-153012/step_20000/training_recipe.json +0 -163
- loop_ifm_sharekv_7b_20260920-153012/step_24000/README.md +0 -50
- loop_ifm_sharekv_7b_20260920-153012/step_24000/config.json +0 -1414
- loop_ifm_sharekv_7b_20260920-153012/step_24000/launch_config.env +0 -12
- loop_ifm_sharekv_7b_20260920-153012/step_24000/manifest.json +0 -25
- loop_ifm_sharekv_7b_20260920-153012/step_24000/model.safetensors +0 -3
- loop_ifm_sharekv_7b_20260920-153012/step_24000/training_recipe.json +0 -163
- loop_ifm_sharekv_7b_20260920-153012/step_26703/README.md +0 -50
- loop_ifm_sharekv_7b_20260920-153012/step_26703/config.json +0 -1431
- loop_ifm_sharekv_7b_20260920-153012/step_26703/launch_config.env +0 -12
- loop_ifm_sharekv_7b_20260920-153012/step_26703/manifest.json +0 -25
- loop_ifm_sharekv_7b_20260920-153012/step_26703/model.safetensors +0 -3
- loop_ifm_sharekv_7b_20260920-153012/step_26703/training_recipe.json +0 -163
- loop_ifm_sharekv_7b_20260920-153012/step_4000/README.md +0 -50
- loop_ifm_sharekv_7b_20260920-153012/step_4000/config.json +0 -1414
- loop_ifm_sharekv_7b_20260920-153012/step_4000/launch_config.env +0 -12
- loop_ifm_sharekv_7b_20260920-153012/step_4000/manifest.json +0 -25
- loop_ifm_sharekv_7b_20260920-153012/step_4000/model.safetensors +0 -3
- loop_ifm_sharekv_7b_20260920-153012/step_4000/training_recipe.json +0 -163
- loop_ifm_sharekv_7b_20260920-153012/step_8000/README.md +0 -50
- loop_ifm_sharekv_7b_20260920-153012/step_8000/config.json +0 -1414
- loop_ifm_sharekv_7b_20260920-153012/step_8000/launch_config.env +0 -12
- loop_ifm_sharekv_7b_20260920-153012/step_8000/manifest.json +0 -25
- loop_ifm_sharekv_7b_20260920-153012/step_8000/model.safetensors +0 -3
- loop_ifm_sharekv_7b_20260920-153012/step_8000/training_recipe.json +0 -163
- paper2604_loop2_476m_7b_online_FBW0_K3_adapter_norm/step_12000/README.md +0 -50
- paper2604_loop2_476m_7b_online_FBW0_K3_adapter_norm/step_12000/config.json +0 -1379
loop_ifm_freshkv_7b_20260920-213933/step_26703/README.md
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# loop_ifm_freshkv_7b_20260920-213933 / step_26703
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Native fresh-KV full-bandwidth loop K3/L2 with IFM diagonal raw-embedding writes and a terminal adapter, 655,369,088 parameters. Checkpoint step 26703, consumed 7,000,031,232 input tokens. The full run finished at 26,703 steps with exit 0. Final validation metrics are recorded from this run in config.json.
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Training snapshot source exactly matches https://github.com/FFishy-git/loopTF-workspace/tree/414cc438e67f921df1fcd218dcd738b88c83c2e1 (repository access may be required). The training revision is recorded in config.json; the saved code.diff is empty. Megatron-LM revision ed6ac270bacb6a4258e1c5b4a911bcf0fd3e4d9b; use the project's training dependencies. Export verification used Python 3.13.11 and torch 2.14.0+cu132.
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Native safetensors weights only, not a Transformers AutoModel package or full training-resume bundle. Tensor names and mixed dtypes are preserved. Null Megatron extra-state entries are recorded explicitly in config.json. Optimizer/scheduler/RNG/dataloader state is excluded. The JSON model arguments are the effective saved settings; they override the base launch snapshot. K3 denotes three feedback passes, each with two shared-stack depth loops and terminal refiners. IFM injects raw token embeddings before both depth loops with shared projection/gating parameters. Loop2 recomputes fresh KV. Preserve all IFM tensors and settings when loading; a non-IFM model is incompatible.
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## Native CPU loading
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```python
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import json, torch, importlib, tempfile
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from argparse import Namespace
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from megatron.core import parallel_state
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from megatron.core.process_groups_config import ProcessGroupCollection
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from full_bandwidth_loop_tf.megatron.config import build_model_config
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from full_bandwidth_loop_tf.megatron.builder import LoopedFullBandwidthMegatronBuilder
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from safetensors.torch import load_file
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def decode(x):
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if isinstance(x, dict):
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if "__torch_dtype__" in x: return getattr(torch, x["__torch_dtype__"])
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if "__dataclass__" in x:
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module, cls, values = x["__dataclass__"]
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return getattr(importlib.import_module(module), cls)(**decode(values))
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if "__enum__" in x:
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module, cls, member = x["__enum__"]
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return getattr(importlib.import_module(module), cls)[member]
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return {k: decode(v) for k, v in x.items()}
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if isinstance(x, list): return [decode(v) for v in x]
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return x
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c = json.load(open("config.json"))
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a = Namespace(**decode(c["model_arguments"]))
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a.use_cpu_initialization = True
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a.perform_initialization = False
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cfg = build_model_config(a)
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# Standalone CPU loading; use your existing groups in an initialized runtime.
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with tempfile.TemporaryDirectory() as tmp:
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torch.distributed.init_process_group("gloo", init_method="file://" + tmp + "/rdzv", rank=0, world_size=1)
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parallel_state.initialize_model_parallel()
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with torch.device("meta"):
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model = LoopedFullBandwidthMegatronBuilder(cfg).build_model(ProcessGroupCollection.use_mpu_process_groups())
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state = load_file("model.safetensors") | c["non_tensor_state"]
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model.load_state_dict(state, strict=True, assign=True)
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model.eval()
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torch.distributed.destroy_process_group()
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```
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All exported tensor values/shapes/dtypes/names are exactly equal to the source, all finite, and strict native loading passed. manifest.json hashes every payload file except itself.
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loop_ifm_freshkv_7b_20260920-213933/step_26703/config.json
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{
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"checkpoint_format": "safetensors_native_megatron_state_dict",
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"architecture": "full_bandwidth_loop",
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"backbone_profile": "paper2604_vanilla",
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"run_name": "loop_ifm_freshkv_7b_20260920-213933",
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"iteration": 26703,
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"checkpoint_version": 3.0,
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"training_code_revision": "414cc438e67f921df1fcd218dcd738b88c83c2e1",
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"training_base_revision": "414cc438e67f921df1fcd218dcd738b88c83c2e1",
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"source_provenance": "Training used training_code_revision with an empty saved code.diff.",
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"backbone_source_revision": "122366472a31e57982a2877eeee10bb115477713",
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"parameter_counts": {
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"total": 655369088,
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"trainable": 655369088
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},
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"model_arguments": {
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"tensor_model_parallel_size": 1,
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"tensor_parallel_num_weight_shards": 1,
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"pipeline_model_parallel_comm_backend": null,
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"pipeline_model_parallel_size": 1,
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"sequence_parallel": false,
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"context_parallel_size": 1,
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"hierarchical_context_parallel_sizes": null,
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"expert_model_parallel_size": 1,
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"expert_tensor_parallel_size": 1,
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"expert_tensor_parallel_num_weight_shards": 1,
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"perform_initialization": true,
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"use_cpu_initialization": null,
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"fp16": false,
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"bf16": true,
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"deterministic_mode": false,
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"tp_comm_overlap": false,
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"tp_comm_bulk_wgrad": true,
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"tp_comm_bulk_dgrad": true,
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"tp_comm_overlap_ag": true,
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"tp_comm_overlap_rs": true,
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"tp_comm_overlap_rs_dgrad": false,
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"tp_comm_split_ag": true,
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"tp_comm_split_rs": true,
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"cross_entropy_loss_fusion": false,
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"cross_entropy_fusion_impl": "native",
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"tp_comm_bootstrap_backend": "nccl",
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"overlap_moe_expert_parallel_comm": false,
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"delay_wgrad_compute": false,
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"overlap_dispatch_backward_with_experts_wgrad": false,
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"ep_overlap_early_attn_memory_release": false,
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"use_ring_exchange_p2p": false,
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"defer_embedding_wgrad_compute": false,
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"wgrad_deferral_limit": 0,
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"overlap_p2p_comm_warmup_flush": false,
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"microbatch_group_size_per_vp_stage": null,
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"mtp_standalone": false,
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"cpu_offloading_num_layers": 0,
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"cpu_offloading_retain_pinned_cpu_buffers": false,
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"num_layers": 20,
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"mtp_num_layers": null,
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"mtp_loss_scaling_factor": 0.1,
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"mtp_use_repeated_layer": false,
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"mtp_detach_heads": false,
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"mtp_hsm": false,
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"mtp_hybrid_override_pattern": null,
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"account_for_embedding_in_pipeline_split": false,
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"account_for_loss_in_pipeline_split": false,
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"hidden_size": 1408,
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"num_attention_heads": 11,
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"attention_backend": {
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"__enum__": [
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"megatron.core.transformer.enums",
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"AttnBackend",
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"auto"
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]
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},
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"flash_attention_version": null,
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"softmax_type": "vanilla",
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"num_query_groups": 11,
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"ffn_hidden_size": 5632,
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"kv_channels": 128,
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"hidden_dropout": 0.0,
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"attention_dropout": 0.0,
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"fp32_residual_connection": false,
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"apply_residual_connection_post_layernorm": false,
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"layernorm_epsilon": 1e-06,
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"layernorm_zero_centered_gamma": false,
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"add_bias_linear": false,
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"add_qkv_bias": false,
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"glu_linear_offset": 0.0,
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"activation_func_clamp_value": null,
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"rotary_interleaved": false,
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"normalization": "RMSNorm",
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"qk_layernorm": false,
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"qk_l2_norm": false,
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"qk_clip": false,
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"qk_clip_alpha": 0.5,
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"qk_clip_threshold": 100,
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"attention_output_gate": false,
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"calculate_per_token_loss": false,
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"multi_latent_attention": false,
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"experimental_attention_variant": null,
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"dsa_indexer_n_heads": null,
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"dsa_indexer_head_dim": null,
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"dsa_indexer_topk": null,
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"dsa_indexer_topk_freq": 1,
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"dsa_indexer_skip_topk_offset": 0,
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"dsa_indexer_loss_coeff": null,
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"dsa_indexer_use_sparse_loss": false,
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"dsa_kernel_backend": "none",
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"dsa_indexer_rope_interleaved": false,
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"dsa_indexer_rotate_activation": true,
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"dsa_indexer_scoring_relu": true,
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"dsa_indexer_k_norm_epsilon": null,
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"dsa_indexer_k_norm_fp32": false,
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"csa_window_size": 128,
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"csa_compress_ratios": null,
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"csa_compress_rotary_base": 40000.0,
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"csa_dense_mode": false,
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"linear_conv_kernel_dim": 4,
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"linear_key_head_dim": 128,
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"linear_value_head_dim": 128,
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"linear_num_key_heads": 16,
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"linear_num_value_heads": 32,
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"init_method_std": 0.02,
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"embedding_init_method_std": null,
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"init_model_with_meta_device": false,
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"use_mup": false,
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"mup_width_mult": 1.0,
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"mup_base_hidden_size": null,
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"mup_embedding_mult": 1.0,
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"mup_output_mult": 1.0,
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"mup_base_head_dim": null,
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"mup_attn_scale_power": 1.0,
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"apply_query_key_layer_scaling": false,
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"disable_bf16_reduced_precision_matmul": false,
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"use_fused_weighted_squared_relu": false,
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"fused_residual_rmsnorm": false,
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"use_transformer_engine_op_fuser": false,
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"recompute_granularity": null,
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"recompute_method": null,
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"recompute_num_layers": null,
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"distribute_saved_activations": false,
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"recompute_modules": null,
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"fp8": null,
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"fp8_recipe": "delayed",
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"fp8_quantizer_factory": null,
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"fp8_margin": 0,
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"fp8_interval": 1,
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"fp8_amax_history_len": 1,
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"fp8_amax_compute_algo": "most_recent",
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"fp8_wgrad": true,
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"fp8_output_proj": false,
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"first_last_layers_bf16": false,
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"num_layers_at_start_in_bf16": 1,
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"num_layers_at_end_in_bf16": 1,
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"use_kitchen_attention": false,
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"kitchen_attention_backend": "sdpa",
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"fp4": null,
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"fp4_recipe": "nvfp4",
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"fp4_quantizer_factory": null,
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"high_priority_a2a_comm_stream": false,
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"moe_shared_expert_intermediate_size": null,
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"moe_shared_expert_gate": false,
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"moe_shared_expert_overlap": false,
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"use_grouped_gemm_for_shared_expert": false,
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"moe_shared_expert_glu_interleave_size": null,
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"moe_ffn_hidden_size": null,
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"moe_router_topk": 2,
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"moe_enable_routing_replay": false,
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"moe_router_padding_for_quantization": false,
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"moe_router_padding_for_fp8": false,
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"moe_router_num_groups": null,
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"moe_router_group_topk": null,
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| 1423 |
-
"eval/final_val/pass_count": 3,
|
| 1424 |
-
"eval/checkpoint_step": 26703,
|
| 1425 |
-
"eval/is_final": true,
|
| 1426 |
-
"eval/final_val/num_sequences": 34560,
|
| 1427 |
-
"eval/final_val/num_tokens": 70778880,
|
| 1428 |
-
"eval/final_val/num_input_tokens": 70778880,
|
| 1429 |
-
"eval/final_val/dataset_id": "config-cb8c1cc82eb53c5c"
|
| 1430 |
-
}
|
| 1431 |
-
}
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|
loop_ifm_freshkv_7b_20260920-213933/step_26703/launch_config.env
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
# IFM raw-token input injection before every depth loop; fresh 16-GPU arm.
|
| 2 |
-
source "$(dirname "${BASH_SOURCE[0]}")/476M_7b_FBW0_K3_L2_ADAPTER_SHARE_KV.env"
|
| 3 |
-
LOOP_INPUT_WRITE=ifm_diagonal
|
| 4 |
-
DEPTH_SHARE_KV=false
|
| 5 |
-
NNODES=2
|
| 6 |
-
MICRO_BATCH_SIZE=8
|
| 7 |
-
ENABLE_RECOMPUTE=false
|
| 8 |
-
LOOP_ADAPTER_CHECKPOINT_REFINER=false
|
| 9 |
-
SAVE_RETAIN_INTERVAL=4000
|
| 10 |
-
RUN_NAME=paper2604_loop2_476m_7b_fbw_k3_adapter_ifm_freshkv
|
| 11 |
-
WANDB_RUN_GROUP=loop2_adapter_ifm_476m_7b_FBW_K3
|
| 12 |
-
WANDB_TAGS=product,loop,loop2,paper2604,476m,7b,fullbandwidth,K3,lookahead_refiner,ifm_diagonal,freshkv
|
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|
loop_ifm_freshkv_7b_20260920-213933/step_26703/manifest.json
DELETED
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loop_ifm_freshkv_7b_20260920-213933/step_26703/model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
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|
| 1 |
-
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:5e819f113b4014446733cb8bda9b00bbb550aa25cd5b97a995f40a165d2d3286
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size 1310894448
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loop_ifm_freshkv_7b_20260920-213933/step_26703/training_recipe.json
DELETED
|
@@ -1,163 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"recipe": "paper2604_21106",
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| 3 |
-
"width": 1408,
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| 4 |
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| 22 |
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| 23 |
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"reference": "paper vanilla 0-20-0 at width 640; configurable token anchor",
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| 24 |
-
"tied_embedding_policy": "unembedding (one AdamW update)",
|
| 25 |
-
"other_parameter_policy": "norm LR (extension for non-paper scalars/biases)",
|
| 26 |
-
"weight_decay": 0.0,
|
| 27 |
-
"warmup_steps": 0,
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| 28 |
-
"final_lr_fraction": 0.1,
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| 29 |
-
"optimizer": {
|
| 30 |
-
"name": "muonh",
|
| 31 |
-
"matrix_lr": 0.014,
|
| 32 |
-
"scalar_lr": null,
|
| 33 |
-
"matrix_weight_decay": 0.0,
|
| 34 |
-
"scalar_weight_decay": 0.0,
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| 35 |
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"embedding_lr": 0.3,
|
| 36 |
-
"unembedding_lr": 0.004,
|
| 37 |
-
"norm_lr": 0.005,
|
| 38 |
-
"other_lr": 0.005,
|
| 39 |
-
"betas": [
|
| 40 |
-
0.8,
|
| 41 |
-
0.95
|
| 42 |
-
],
|
| 43 |
-
"eps": 1e-10,
|
| 44 |
-
"normuon_momentum": 0.95,
|
| 45 |
-
"normuon_beta2": 0.95,
|
| 46 |
-
"normuon_nesterov": true,
|
| 47 |
-
"normuon_adjust_lr": "spectral_norm",
|
| 48 |
-
"max_grad_norm": null
|
| 49 |
-
},
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| 50 |
-
"schedule": {
|
| 51 |
-
"kind": "linear",
|
| 52 |
-
"warmup_steps": 0,
|
| 53 |
-
"cooldown_fraction": 0.0,
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| 54 |
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"cooldown_style": "linear",
|
| 55 |
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"final_lr_fraction": 0.1,
|
| 56 |
-
"z_loss_coefficient": 0.0,
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| 57 |
-
"adamc_weight_decay": false
|
| 58 |
-
},
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| 59 |
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"group_weight_decay": {
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| 60 |
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"unembedding": 0.0,
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"other": 0.0
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| 65 |
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"recipe_overrides": {},
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"requested_batch_tokens": 262144,
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| 68 |
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"sequence_length": 2048,
|
| 69 |
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"batch_assumptions": {
|
| 70 |
-
"global_batch_tokens": 262144,
|
| 71 |
-
"sequence_length": 2048,
|
| 72 |
-
"round_up": false
|
| 73 |
-
},
|
| 74 |
-
"lr_transfer": "mup_hyperp_released_source",
|
| 75 |
-
"assumptions": [],
|
| 76 |
-
"backend_kernel_assumptions": {},
|
| 77 |
-
"paper_settings_overridden": false,
|
| 78 |
-
"model": {
|
| 79 |
-
"backbone_profile": "paper2604_vanilla",
|
| 80 |
-
"source_commit": "122366472a31e57982a2877eeee10bb115477713",
|
| 81 |
-
"width_scale": 22,
|
| 82 |
-
"hidden_size": 1408,
|
| 83 |
-
"num_layers": 20,
|
| 84 |
-
"head_dim": 128,
|
| 85 |
-
"num_attention_heads": 11,
|
| 86 |
-
"num_kv_heads": 11,
|
| 87 |
-
"ffn_hidden_size": 5632,
|
| 88 |
-
"activation": "squared_relu",
|
| 89 |
-
"attention": "full_causal",
|
| 90 |
-
"attention_output_gate": false,
|
| 91 |
-
"qk_norm": "functional_rmsnorm_after_rope",
|
| 92 |
-
"norm_epsilon": 1e-06,
|
| 93 |
-
"model_level_norms": [
|
| 94 |
-
"embedding",
|
| 95 |
-
"recur",
|
| 96 |
-
"final"
|
| 97 |
-
],
|
| 98 |
-
"rope_base": 10000.0,
|
| 99 |
-
"rope_convention": "split_half_negative_angle_bf16_cos_sin",
|
| 100 |
-
"bias": false,
|
| 101 |
-
"dropout": 0.0,
|
| 102 |
-
"residual_multiplier": 1.0,
|
| 103 |
-
"residual_and_norm_scale_dtype": "float32",
|
| 104 |
-
"projection_dtype": "bfloat16 (production)",
|
| 105 |
-
"tied_embeddings": false,
|
| 106 |
-
"vocab_size": 32001,
|
| 107 |
-
"padded_vocab_size": 32064,
|
| 108 |
-
"logit_softcap": 15.0,
|
| 109 |
-
"crop_padding_before_loss": true,
|
| 110 |
-
"initialization": {
|
| 111 |
-
"embedding_normal_std": 1.0,
|
| 112 |
-
"head_normal_std": 0.001,
|
| 113 |
-
"matrix_uniform_bound": "sqrt(3/fan_in)",
|
| 114 |
-
"norm_scale": 1.0
|
| 115 |
-
},
|
| 116 |
-
"parameter_counts": {
|
| 117 |
-
"non_embedding_matrix_formula": 475791360,
|
| 118 |
-
"non_embedding_paper_N": 475851904,
|
| 119 |
-
"total_trainable": 655369088,
|
| 120 |
-
"feedback_parameters": 3967744,
|
| 121 |
-
"loop_input_write_parameters": 1985280,
|
| 122 |
-
"loop_adapter_parameters": 83271936
|
| 123 |
-
},
|
| 124 |
-
"tokenizer_fidelity_note": "Released preprint/current code uses 32001 active tokens, padded to 32064; paper table reports 32008. Follow executable release; do not invent seven tokens.",
|
| 125 |
-
"execution_architecture": "full_bandwidth_loop",
|
| 126 |
-
"objective": "latent_feedback_causal_lm",
|
| 127 |
-
"feedback_enabled": true,
|
| 128 |
-
"train_passes": 3,
|
| 129 |
-
"eval_passes": 3,
|
| 130 |
-
"feedback_pass_mixture": {
|
| 131 |
-
"3": 1.0
|
| 132 |
-
},
|
| 133 |
-
"feedback_progressive_stages": [],
|
| 134 |
-
"depth_num_loops": 2,
|
| 135 |
-
"logical_layers_per_pass": 40,
|
| 136 |
-
"shared_layer_weights": true,
|
| 137 |
-
"depth_share_kv": false,
|
| 138 |
-
"depth_kv_policy": "recompute_each_loop",
|
| 139 |
-
"norm_placement": "embedding once; recur/final after loop 2 before three refiners; no post-refiner norm",
|
| 140 |
-
"loop_input_write": "ifm_diagonal",
|
| 141 |
-
"loop_input_write_source": "raw_token_embeddings",
|
| 142 |
-
"loop_input_write_placement": "before_every_depth_loop_after_initial_norm_emb",
|
| 143 |
-
"loop_input_write_sharing": "all_depth_loops_and_outer_feedback_passes",
|
| 144 |
-
"loop_input_write_init": "paper_matrix; a=b_delta=0; alpha=0.5; delta=log(2)",
|
| 145 |
-
"loop_final_adapter": "lookahead_refiner",
|
| 146 |
-
"loop_adapter": {
|
| 147 |
-
"ffn_size": 5632,
|
| 148 |
-
"state_input": "second-loop hidden states after norm_recur and norm_final",
|
| 149 |
-
"terminal_norms": true,
|
| 150 |
-
"attention_backend": "sdpa_auto",
|
| 151 |
-
"checkpoint_refiner": false,
|
| 152 |
-
"bank_layers": [
|
| 153 |
-
0,
|
| 154 |
-
10,
|
| 155 |
-
19
|
| 156 |
-
],
|
| 157 |
-
"bank_source": "first depth loop, fresh on each feedback pass",
|
| 158 |
-
"weight_sharing": "one adapter shared across feedback passes"
|
| 159 |
-
},
|
| 160 |
-
"block_application_multiplier_per_pass": 2.15,
|
| 161 |
-
"block_application_multiplier": 6.449999999999999
|
| 162 |
-
}
|
| 163 |
-
}
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|
loop_ifm_sharekv_7b_20260920-153012/step_12000/README.md
DELETED
|
@@ -1,50 +0,0 @@
|
|
| 1 |
-
# loop_ifm_sharekv_7b_20260920-153012 / step_12000
|
| 2 |
-
|
| 3 |
-
Native shared-KV full-bandwidth loop K3/L2 with IFM diagonal raw-embedding writes and a terminal adapter, 655,369,088 parameters. Checkpoint step 12000, consumed 3,145,728,000 input tokens. The full run finished at 26,703 steps with exit 0. Earlier checkpoints are intermediate weights; no final evaluation metric is asserted here.
|
| 4 |
-
|
| 5 |
-
Training snapshot source exactly matches https://github.com/FFishy-git/loopTF-workspace/tree/414cc438e67f921df1fcd218dcd738b88c83c2e1 (repository access may be required). The training revision is recorded in config.json; the saved code.diff is empty. Megatron-LM revision ed6ac270bacb6a4258e1c5b4a911bcf0fd3e4d9b; use the project's training dependencies. Export verification used Python 3.13.11 and torch 2.14.0+cu132.
|
| 6 |
-
|
| 7 |
-
Native safetensors weights only, not a Transformers AutoModel package or full training-resume bundle. Tensor names and mixed dtypes are preserved. Null Megatron extra-state entries are recorded explicitly in config.json. Optimizer/scheduler/RNG/dataloader state is excluded. The JSON model arguments are the effective saved settings; they override the base launch snapshot. K3 denotes three feedback passes, each with two shared-stack depth loops and terminal refiners. IFM injects raw token embeddings before both depth loops with shared projection/gating parameters. Loop2 reuses connected first-loop KV. Preserve all IFM tensors and settings when loading; a non-IFM model is incompatible.
|
| 8 |
-
|
| 9 |
-
## Native CPU loading
|
| 10 |
-
|
| 11 |
-
```python
|
| 12 |
-
import json, torch, importlib, tempfile
|
| 13 |
-
from argparse import Namespace
|
| 14 |
-
from megatron.core import parallel_state
|
| 15 |
-
from megatron.core.process_groups_config import ProcessGroupCollection
|
| 16 |
-
from full_bandwidth_loop_tf.megatron.config import build_model_config
|
| 17 |
-
from full_bandwidth_loop_tf.megatron.builder import LoopedFullBandwidthMegatronBuilder
|
| 18 |
-
from safetensors.torch import load_file
|
| 19 |
-
|
| 20 |
-
def decode(x):
|
| 21 |
-
if isinstance(x, dict):
|
| 22 |
-
if "__torch_dtype__" in x: return getattr(torch, x["__torch_dtype__"])
|
| 23 |
-
if "__dataclass__" in x:
|
| 24 |
-
module, cls, values = x["__dataclass__"]
|
| 25 |
-
return getattr(importlib.import_module(module), cls)(**decode(values))
|
| 26 |
-
if "__enum__" in x:
|
| 27 |
-
module, cls, member = x["__enum__"]
|
| 28 |
-
return getattr(importlib.import_module(module), cls)[member]
|
| 29 |
-
return {k: decode(v) for k, v in x.items()}
|
| 30 |
-
if isinstance(x, list): return [decode(v) for v in x]
|
| 31 |
-
return x
|
| 32 |
-
|
| 33 |
-
c = json.load(open("config.json"))
|
| 34 |
-
a = Namespace(**decode(c["model_arguments"]))
|
| 35 |
-
a.use_cpu_initialization = True
|
| 36 |
-
a.perform_initialization = False
|
| 37 |
-
cfg = build_model_config(a)
|
| 38 |
-
# Standalone CPU loading; use your existing groups in an initialized runtime.
|
| 39 |
-
with tempfile.TemporaryDirectory() as tmp:
|
| 40 |
-
torch.distributed.init_process_group("gloo", init_method="file://" + tmp + "/rdzv", rank=0, world_size=1)
|
| 41 |
-
parallel_state.initialize_model_parallel()
|
| 42 |
-
with torch.device("meta"):
|
| 43 |
-
model = LoopedFullBandwidthMegatronBuilder(cfg).build_model(ProcessGroupCollection.use_mpu_process_groups())
|
| 44 |
-
state = load_file("model.safetensors") | c["non_tensor_state"]
|
| 45 |
-
model.load_state_dict(state, strict=True, assign=True)
|
| 46 |
-
model.eval()
|
| 47 |
-
torch.distributed.destroy_process_group()
|
| 48 |
-
```
|
| 49 |
-
|
| 50 |
-
All exported tensor values/shapes/dtypes/names are exactly equal to the source, all finite, and strict native loading passed. manifest.json hashes every payload file except itself.
|
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_12000/config.json
DELETED
|
@@ -1,1414 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"checkpoint_format": "safetensors_native_megatron_state_dict",
|
| 3 |
-
"architecture": "full_bandwidth_loop",
|
| 4 |
-
"backbone_profile": "paper2604_vanilla",
|
| 5 |
-
"run_name": "loop_ifm_sharekv_7b_20260920-153012",
|
| 6 |
-
"iteration": 12000,
|
| 7 |
-
"checkpoint_version": 3.0,
|
| 8 |
-
"training_code_revision": "414cc438e67f921df1fcd218dcd738b88c83c2e1",
|
| 9 |
-
"training_base_revision": "414cc438e67f921df1fcd218dcd738b88c83c2e1",
|
| 10 |
-
"source_provenance": "Training used training_code_revision with an empty saved code.diff.",
|
| 11 |
-
"backbone_source_revision": "122366472a31e57982a2877eeee10bb115477713",
|
| 12 |
-
"parameter_counts": {
|
| 13 |
-
"total": 655369088,
|
| 14 |
-
"trainable": 655369088
|
| 15 |
-
},
|
| 16 |
-
"model_arguments": {
|
| 17 |
-
"tensor_model_parallel_size": 1,
|
| 18 |
-
"tensor_parallel_num_weight_shards": 1,
|
| 19 |
-
"pipeline_model_parallel_comm_backend": null,
|
| 20 |
-
"pipeline_model_parallel_size": 1,
|
| 21 |
-
"sequence_parallel": false,
|
| 22 |
-
"context_parallel_size": 1,
|
| 23 |
-
"hierarchical_context_parallel_sizes": null,
|
| 24 |
-
"expert_model_parallel_size": 1,
|
| 25 |
-
"expert_tensor_parallel_size": 1,
|
| 26 |
-
"expert_tensor_parallel_num_weight_shards": 1,
|
| 27 |
-
"perform_initialization": true,
|
| 28 |
-
"use_cpu_initialization": null,
|
| 29 |
-
"fp16": false,
|
| 30 |
-
"bf16": true,
|
| 31 |
-
"deterministic_mode": false,
|
| 32 |
-
"tp_comm_overlap": false,
|
| 33 |
-
"tp_comm_bulk_wgrad": true,
|
| 34 |
-
"tp_comm_bulk_dgrad": true,
|
| 35 |
-
"tp_comm_overlap_ag": true,
|
| 36 |
-
"tp_comm_overlap_rs": true,
|
| 37 |
-
"tp_comm_overlap_rs_dgrad": false,
|
| 38 |
-
"tp_comm_split_ag": true,
|
| 39 |
-
"tp_comm_split_rs": true,
|
| 40 |
-
"cross_entropy_loss_fusion": false,
|
| 41 |
-
"cross_entropy_fusion_impl": "native",
|
| 42 |
-
"tp_comm_bootstrap_backend": "nccl",
|
| 43 |
-
"overlap_moe_expert_parallel_comm": false,
|
| 44 |
-
"delay_wgrad_compute": false,
|
| 45 |
-
"overlap_dispatch_backward_with_experts_wgrad": false,
|
| 46 |
-
"ep_overlap_early_attn_memory_release": false,
|
| 47 |
-
"use_ring_exchange_p2p": false,
|
| 48 |
-
"defer_embedding_wgrad_compute": false,
|
| 49 |
-
"wgrad_deferral_limit": 0,
|
| 50 |
-
"overlap_p2p_comm_warmup_flush": false,
|
| 51 |
-
"microbatch_group_size_per_vp_stage": null,
|
| 52 |
-
"mtp_standalone": false,
|
| 53 |
-
"cpu_offloading_num_layers": 0,
|
| 54 |
-
"cpu_offloading_retain_pinned_cpu_buffers": false,
|
| 55 |
-
"num_layers": 20,
|
| 56 |
-
"mtp_num_layers": null,
|
| 57 |
-
"mtp_loss_scaling_factor": 0.1,
|
| 58 |
-
"mtp_use_repeated_layer": false,
|
| 59 |
-
"mtp_detach_heads": false,
|
| 60 |
-
"mtp_hsm": false,
|
| 61 |
-
"mtp_hybrid_override_pattern": null,
|
| 62 |
-
"account_for_embedding_in_pipeline_split": false,
|
| 63 |
-
"account_for_loss_in_pipeline_split": false,
|
| 64 |
-
"hidden_size": 1408,
|
| 65 |
-
"num_attention_heads": 11,
|
| 66 |
-
"attention_backend": {
|
| 67 |
-
"__enum__": [
|
| 68 |
-
"megatron.core.transformer.enums",
|
| 69 |
-
"AttnBackend",
|
| 70 |
-
"auto"
|
| 71 |
-
]
|
| 72 |
-
},
|
| 73 |
-
"flash_attention_version": null,
|
| 74 |
-
"softmax_type": "vanilla",
|
| 75 |
-
"num_query_groups": 11,
|
| 76 |
-
"ffn_hidden_size": 5632,
|
| 77 |
-
"kv_channels": 128,
|
| 78 |
-
"hidden_dropout": 0.0,
|
| 79 |
-
"attention_dropout": 0.0,
|
| 80 |
-
"fp32_residual_connection": false,
|
| 81 |
-
"apply_residual_connection_post_layernorm": false,
|
| 82 |
-
"layernorm_epsilon": 1e-06,
|
| 83 |
-
"layernorm_zero_centered_gamma": false,
|
| 84 |
-
"add_bias_linear": false,
|
| 85 |
-
"add_qkv_bias": false,
|
| 86 |
-
"glu_linear_offset": 0.0,
|
| 87 |
-
"activation_func_clamp_value": null,
|
| 88 |
-
"rotary_interleaved": false,
|
| 89 |
-
"normalization": "RMSNorm",
|
| 90 |
-
"qk_layernorm": false,
|
| 91 |
-
"qk_l2_norm": false,
|
| 92 |
-
"qk_clip": false,
|
| 93 |
-
"qk_clip_alpha": 0.5,
|
| 94 |
-
"qk_clip_threshold": 100,
|
| 95 |
-
"attention_output_gate": false,
|
| 96 |
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|
| 1360 |
-
"decoder.stack.layers.15.self_attention.linear_proj._extra_state": null,
|
| 1361 |
-
"decoder.stack.layers.15.self_attention.linear_qkv._extra_state": null,
|
| 1362 |
-
"decoder.stack.layers.15.mlp.linear_fc1._extra_state": null,
|
| 1363 |
-
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|
| 1364 |
-
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|
| 1365 |
-
"decoder.stack.layers.16.self_attention.linear_qkv._extra_state": null,
|
| 1366 |
-
"decoder.stack.layers.16.mlp.linear_fc1._extra_state": null,
|
| 1367 |
-
"decoder.stack.layers.16.mlp.linear_fc2._extra_state": null,
|
| 1368 |
-
"decoder.stack.layers.17.self_attention.linear_proj._extra_state": null,
|
| 1369 |
-
"decoder.stack.layers.17.self_attention.linear_qkv._extra_state": null,
|
| 1370 |
-
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|
| 1371 |
-
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|
| 1372 |
-
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|
| 1373 |
-
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|
| 1374 |
-
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|
| 1375 |
-
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|
| 1376 |
-
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|
| 1377 |
-
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|
| 1378 |
-
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|
| 1379 |
-
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|
| 1380 |
-
"output_layer._extra_state": null,
|
| 1381 |
-
"feedback.state_proj._extra_state": null,
|
| 1382 |
-
"feedback.token_gate_proj._extra_state": null
|
| 1383 |
-
},
|
| 1384 |
-
"tensor_parallel_size": 1,
|
| 1385 |
-
"pipeline_parallel_size": 1,
|
| 1386 |
-
"training_tokens": 3145728000,
|
| 1387 |
-
"training_budget_tokens": 7000031232,
|
| 1388 |
-
"ifm_diagonal": {
|
| 1389 |
-
"source": "raw_token_embeddings",
|
| 1390 |
-
"placement": "before_both_depth_loops",
|
| 1391 |
-
"shared_projection_and_gating": true
|
| 1392 |
-
},
|
| 1393 |
-
"depth_share_kv": true,
|
| 1394 |
-
"effective_launch_overrides": {
|
| 1395 |
-
"NNODES": 2,
|
| 1396 |
-
"MICRO_BATCH_SIZE": 8,
|
| 1397 |
-
"GLOBAL_BATCH_SIZE": 128,
|
| 1398 |
-
"RUN_NAME": "loop_ifm_sharekv_7b_20260920-153012",
|
| 1399 |
-
"SAVE_INTERVAL": 4000,
|
| 1400 |
-
"SAVE_RETAIN_INTERVAL": 4000,
|
| 1401 |
-
"ENABLE_RECOMPUTE": false,
|
| 1402 |
-
"LOOP_ADAPTER_CHECKPOINT_REFINER": false
|
| 1403 |
-
},
|
| 1404 |
-
"tokenizer": {
|
| 1405 |
-
"repository": "NousResearch/Llama-2-7b-hf",
|
| 1406 |
-
"revision": "8efe6c9b93655b934e27bd9981e3ec13e55aee9d",
|
| 1407 |
-
"added_tokens": [
|
| 1408 |
-
"<|assistant_end|>"
|
| 1409 |
-
],
|
| 1410 |
-
"active_vocab_size": 32001,
|
| 1411 |
-
"padded_vocab_size": 32064
|
| 1412 |
-
},
|
| 1413 |
-
"loading": "Construct matching native Megatron model from model_arguments, restore non_tensor_state, load_state_dict(strict=True, assign=True). See README."
|
| 1414 |
-
}
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_12000/launch_config.env
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
# IFM raw-token input injection before every depth loop; fresh 16-GPU arm.
|
| 2 |
-
source "$(dirname "${BASH_SOURCE[0]}")/476M_7b_FBW0_K3_L2_ADAPTER_SHARE_KV.env"
|
| 3 |
-
LOOP_INPUT_WRITE=ifm_diagonal
|
| 4 |
-
DEPTH_SHARE_KV=true
|
| 5 |
-
NNODES=2
|
| 6 |
-
MICRO_BATCH_SIZE=8
|
| 7 |
-
ENABLE_RECOMPUTE=false
|
| 8 |
-
LOOP_ADAPTER_CHECKPOINT_REFINER=false
|
| 9 |
-
SAVE_RETAIN_INTERVAL=4000
|
| 10 |
-
RUN_NAME=paper2604_loop2_476m_7b_fbw_k3_adapter_ifm_sharekv
|
| 11 |
-
WANDB_RUN_GROUP=loop2_adapter_ifm_476m_7b_FBW_K3
|
| 12 |
-
WANDB_TAGS=product,loop,loop2,paper2604,476m,7b,fullbandwidth,K3,lookahead_refiner,ifm_diagonal,sharekv
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_12000/manifest.json
DELETED
|
@@ -1,25 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"files": {
|
| 3 |
-
"README.md": {
|
| 4 |
-
"size": 3451,
|
| 5 |
-
"sha256": "973a0d9814fec90cc99260e9ff343ca96b36b0c54475798024856f4f61ca0cb6"
|
| 6 |
-
},
|
| 7 |
-
"config.json": {
|
| 8 |
-
"size": 54156,
|
| 9 |
-
"sha256": "c21201abf80edb8a3cf18ffed6c290c2e17d829441913909c4d112128682b38f"
|
| 10 |
-
},
|
| 11 |
-
"launch_config.env": {
|
| 12 |
-
"size": 533,
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| 13 |
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"sha256": "8573d72be7041dca69dea2d3d6cdaf7fc8e8ebf6b48f28dd0860ddaf806e4b72"
|
| 14 |
-
},
|
| 15 |
-
"model.safetensors": {
|
| 16 |
-
"size": 1310894448,
|
| 17 |
-
"sha256": "d153a3f096756906756fdb7fbb5b0f491b7d9cf2ec448876f0d2a6b1e386f811"
|
| 18 |
-
},
|
| 19 |
-
"training_recipe.json": {
|
| 20 |
-
"size": 5102,
|
| 21 |
-
"sha256": "9d83cdc447b73c02c4b65e3e41fe8e9dcd215d22a90b15b403904203af0df61d"
|
| 22 |
-
}
|
| 23 |
-
},
|
| 24 |
-
"note": "Manifest does not hash itself."
|
| 25 |
-
}
|
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_12000/model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:d153a3f096756906756fdb7fbb5b0f491b7d9cf2ec448876f0d2a6b1e386f811
|
| 3 |
-
size 1310894448
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_12000/training_recipe.json
DELETED
|
@@ -1,163 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"recipe": "paper2604_21106",
|
| 3 |
-
"width": 1408,
|
| 4 |
-
"total_tokens": 7000031232,
|
| 5 |
-
"batch_tokens": 262144,
|
| 6 |
-
"reference_width": 640,
|
| 7 |
-
"reference_tokens": 983315200,
|
| 8 |
-
"reference_batch_tokens": 262144,
|
| 9 |
-
"base_lrs": {
|
| 10 |
-
"matrix": 0.014,
|
| 11 |
-
"embedding": 0.3,
|
| 12 |
-
"unembedding": 0.004,
|
| 13 |
-
"norm": 0.005,
|
| 14 |
-
"other": 0.005
|
| 15 |
-
},
|
| 16 |
-
"peak_lrs": {
|
| 17 |
-
"matrix": 0.007470638533717786,
|
| 18 |
-
"embedding": 0.2022599587389726,
|
| 19 |
-
"unembedding": 0.0026967994498529684,
|
| 20 |
-
"norm": 0.00337099931231621,
|
| 21 |
-
"other": 0.00337099931231621
|
| 22 |
-
},
|
| 23 |
-
"reference": "paper vanilla 0-20-0 at width 640; configurable token anchor",
|
| 24 |
-
"tied_embedding_policy": "unembedding (one AdamW update)",
|
| 25 |
-
"other_parameter_policy": "norm LR (extension for non-paper scalars/biases)",
|
| 26 |
-
"weight_decay": 0.0,
|
| 27 |
-
"warmup_steps": 0,
|
| 28 |
-
"final_lr_fraction": 0.1,
|
| 29 |
-
"optimizer": {
|
| 30 |
-
"name": "muonh",
|
| 31 |
-
"matrix_lr": 0.014,
|
| 32 |
-
"scalar_lr": null,
|
| 33 |
-
"matrix_weight_decay": 0.0,
|
| 34 |
-
"scalar_weight_decay": 0.0,
|
| 35 |
-
"embedding_lr": 0.3,
|
| 36 |
-
"unembedding_lr": 0.004,
|
| 37 |
-
"norm_lr": 0.005,
|
| 38 |
-
"other_lr": 0.005,
|
| 39 |
-
"betas": [
|
| 40 |
-
0.8,
|
| 41 |
-
0.95
|
| 42 |
-
],
|
| 43 |
-
"eps": 1e-10,
|
| 44 |
-
"normuon_momentum": 0.95,
|
| 45 |
-
"normuon_beta2": 0.95,
|
| 46 |
-
"normuon_nesterov": true,
|
| 47 |
-
"normuon_adjust_lr": "spectral_norm",
|
| 48 |
-
"max_grad_norm": null
|
| 49 |
-
},
|
| 50 |
-
"schedule": {
|
| 51 |
-
"kind": "linear",
|
| 52 |
-
"warmup_steps": 0,
|
| 53 |
-
"cooldown_fraction": 0.0,
|
| 54 |
-
"cooldown_style": "linear",
|
| 55 |
-
"final_lr_fraction": 0.1,
|
| 56 |
-
"z_loss_coefficient": 0.0,
|
| 57 |
-
"adamc_weight_decay": false
|
| 58 |
-
},
|
| 59 |
-
"group_weight_decay": {
|
| 60 |
-
"matrix": 0.0,
|
| 61 |
-
"embedding": 0.0,
|
| 62 |
-
"unembedding": 0.0,
|
| 63 |
-
"norm": 0.0,
|
| 64 |
-
"other": 0.0
|
| 65 |
-
},
|
| 66 |
-
"recipe_overrides": {},
|
| 67 |
-
"requested_batch_tokens": 262144,
|
| 68 |
-
"sequence_length": 2048,
|
| 69 |
-
"batch_assumptions": {
|
| 70 |
-
"global_batch_tokens": 262144,
|
| 71 |
-
"sequence_length": 2048,
|
| 72 |
-
"round_up": false
|
| 73 |
-
},
|
| 74 |
-
"lr_transfer": "mup_hyperp_released_source",
|
| 75 |
-
"assumptions": [],
|
| 76 |
-
"backend_kernel_assumptions": {},
|
| 77 |
-
"paper_settings_overridden": false,
|
| 78 |
-
"model": {
|
| 79 |
-
"backbone_profile": "paper2604_vanilla",
|
| 80 |
-
"source_commit": "122366472a31e57982a2877eeee10bb115477713",
|
| 81 |
-
"width_scale": 22,
|
| 82 |
-
"hidden_size": 1408,
|
| 83 |
-
"num_layers": 20,
|
| 84 |
-
"head_dim": 128,
|
| 85 |
-
"num_attention_heads": 11,
|
| 86 |
-
"num_kv_heads": 11,
|
| 87 |
-
"ffn_hidden_size": 5632,
|
| 88 |
-
"activation": "squared_relu",
|
| 89 |
-
"attention": "full_causal",
|
| 90 |
-
"attention_output_gate": false,
|
| 91 |
-
"qk_norm": "functional_rmsnorm_after_rope",
|
| 92 |
-
"norm_epsilon": 1e-06,
|
| 93 |
-
"model_level_norms": [
|
| 94 |
-
"embedding",
|
| 95 |
-
"recur",
|
| 96 |
-
"final"
|
| 97 |
-
],
|
| 98 |
-
"rope_base": 10000.0,
|
| 99 |
-
"rope_convention": "split_half_negative_angle_bf16_cos_sin",
|
| 100 |
-
"bias": false,
|
| 101 |
-
"dropout": 0.0,
|
| 102 |
-
"residual_multiplier": 1.0,
|
| 103 |
-
"residual_and_norm_scale_dtype": "float32",
|
| 104 |
-
"projection_dtype": "bfloat16 (production)",
|
| 105 |
-
"tied_embeddings": false,
|
| 106 |
-
"vocab_size": 32001,
|
| 107 |
-
"padded_vocab_size": 32064,
|
| 108 |
-
"logit_softcap": 15.0,
|
| 109 |
-
"crop_padding_before_loss": true,
|
| 110 |
-
"initialization": {
|
| 111 |
-
"embedding_normal_std": 1.0,
|
| 112 |
-
"head_normal_std": 0.001,
|
| 113 |
-
"matrix_uniform_bound": "sqrt(3/fan_in)",
|
| 114 |
-
"norm_scale": 1.0
|
| 115 |
-
},
|
| 116 |
-
"parameter_counts": {
|
| 117 |
-
"non_embedding_matrix_formula": 475791360,
|
| 118 |
-
"non_embedding_paper_N": 475851904,
|
| 119 |
-
"total_trainable": 655369088,
|
| 120 |
-
"feedback_parameters": 3967744,
|
| 121 |
-
"loop_input_write_parameters": 1985280,
|
| 122 |
-
"loop_adapter_parameters": 83271936
|
| 123 |
-
},
|
| 124 |
-
"tokenizer_fidelity_note": "Released preprint/current code uses 32001 active tokens, padded to 32064; paper table reports 32008. Follow executable release; do not invent seven tokens.",
|
| 125 |
-
"execution_architecture": "full_bandwidth_loop",
|
| 126 |
-
"objective": "latent_feedback_causal_lm",
|
| 127 |
-
"feedback_enabled": true,
|
| 128 |
-
"train_passes": 3,
|
| 129 |
-
"eval_passes": 3,
|
| 130 |
-
"feedback_pass_mixture": {
|
| 131 |
-
"3": 1.0
|
| 132 |
-
},
|
| 133 |
-
"feedback_progressive_stages": [],
|
| 134 |
-
"depth_num_loops": 2,
|
| 135 |
-
"logical_layers_per_pass": 40,
|
| 136 |
-
"shared_layer_weights": true,
|
| 137 |
-
"depth_share_kv": true,
|
| 138 |
-
"depth_kv_policy": "first_loop_per_layer_connected",
|
| 139 |
-
"norm_placement": "embedding once; recur/final after loop 2 before three refiners; no post-refiner norm",
|
| 140 |
-
"loop_input_write": "ifm_diagonal",
|
| 141 |
-
"loop_input_write_source": "raw_token_embeddings",
|
| 142 |
-
"loop_input_write_placement": "before_every_depth_loop_after_initial_norm_emb",
|
| 143 |
-
"loop_input_write_sharing": "all_depth_loops_and_outer_feedback_passes",
|
| 144 |
-
"loop_input_write_init": "paper_matrix; a=b_delta=0; alpha=0.5; delta=log(2)",
|
| 145 |
-
"loop_final_adapter": "lookahead_refiner",
|
| 146 |
-
"loop_adapter": {
|
| 147 |
-
"ffn_size": 5632,
|
| 148 |
-
"state_input": "second-loop hidden states after norm_recur and norm_final",
|
| 149 |
-
"terminal_norms": true,
|
| 150 |
-
"attention_backend": "sdpa_auto",
|
| 151 |
-
"checkpoint_refiner": false,
|
| 152 |
-
"bank_layers": [
|
| 153 |
-
0,
|
| 154 |
-
10,
|
| 155 |
-
19
|
| 156 |
-
],
|
| 157 |
-
"bank_source": "first depth loop, fresh on each feedback pass",
|
| 158 |
-
"weight_sharing": "one adapter shared across feedback passes"
|
| 159 |
-
},
|
| 160 |
-
"block_application_multiplier_per_pass": 2.15,
|
| 161 |
-
"block_application_multiplier": 6.449999999999999
|
| 162 |
-
}
|
| 163 |
-
}
|
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_16000/README.md
DELETED
|
@@ -1,50 +0,0 @@
|
|
| 1 |
-
# loop_ifm_sharekv_7b_20260920-153012 / step_16000
|
| 2 |
-
|
| 3 |
-
Native shared-KV full-bandwidth loop K3/L2 with IFM diagonal raw-embedding writes and a terminal adapter, 655,369,088 parameters. Checkpoint step 16000, consumed 4,194,304,000 input tokens. The full run finished at 26,703 steps with exit 0. Earlier checkpoints are intermediate weights; no final evaluation metric is asserted here.
|
| 4 |
-
|
| 5 |
-
Training snapshot source exactly matches https://github.com/FFishy-git/loopTF-workspace/tree/414cc438e67f921df1fcd218dcd738b88c83c2e1 (repository access may be required). The training revision is recorded in config.json; the saved code.diff is empty. Megatron-LM revision ed6ac270bacb6a4258e1c5b4a911bcf0fd3e4d9b; use the project's training dependencies. Export verification used Python 3.13.11 and torch 2.14.0+cu132.
|
| 6 |
-
|
| 7 |
-
Native safetensors weights only, not a Transformers AutoModel package or full training-resume bundle. Tensor names and mixed dtypes are preserved. Null Megatron extra-state entries are recorded explicitly in config.json. Optimizer/scheduler/RNG/dataloader state is excluded. The JSON model arguments are the effective saved settings; they override the base launch snapshot. K3 denotes three feedback passes, each with two shared-stack depth loops and terminal refiners. IFM injects raw token embeddings before both depth loops with shared projection/gating parameters. Loop2 reuses connected first-loop KV. Preserve all IFM tensors and settings when loading; a non-IFM model is incompatible.
|
| 8 |
-
|
| 9 |
-
## Native CPU loading
|
| 10 |
-
|
| 11 |
-
```python
|
| 12 |
-
import json, torch, importlib, tempfile
|
| 13 |
-
from argparse import Namespace
|
| 14 |
-
from megatron.core import parallel_state
|
| 15 |
-
from megatron.core.process_groups_config import ProcessGroupCollection
|
| 16 |
-
from full_bandwidth_loop_tf.megatron.config import build_model_config
|
| 17 |
-
from full_bandwidth_loop_tf.megatron.builder import LoopedFullBandwidthMegatronBuilder
|
| 18 |
-
from safetensors.torch import load_file
|
| 19 |
-
|
| 20 |
-
def decode(x):
|
| 21 |
-
if isinstance(x, dict):
|
| 22 |
-
if "__torch_dtype__" in x: return getattr(torch, x["__torch_dtype__"])
|
| 23 |
-
if "__dataclass__" in x:
|
| 24 |
-
module, cls, values = x["__dataclass__"]
|
| 25 |
-
return getattr(importlib.import_module(module), cls)(**decode(values))
|
| 26 |
-
if "__enum__" in x:
|
| 27 |
-
module, cls, member = x["__enum__"]
|
| 28 |
-
return getattr(importlib.import_module(module), cls)[member]
|
| 29 |
-
return {k: decode(v) for k, v in x.items()}
|
| 30 |
-
if isinstance(x, list): return [decode(v) for v in x]
|
| 31 |
-
return x
|
| 32 |
-
|
| 33 |
-
c = json.load(open("config.json"))
|
| 34 |
-
a = Namespace(**decode(c["model_arguments"]))
|
| 35 |
-
a.use_cpu_initialization = True
|
| 36 |
-
a.perform_initialization = False
|
| 37 |
-
cfg = build_model_config(a)
|
| 38 |
-
# Standalone CPU loading; use your existing groups in an initialized runtime.
|
| 39 |
-
with tempfile.TemporaryDirectory() as tmp:
|
| 40 |
-
torch.distributed.init_process_group("gloo", init_method="file://" + tmp + "/rdzv", rank=0, world_size=1)
|
| 41 |
-
parallel_state.initialize_model_parallel()
|
| 42 |
-
with torch.device("meta"):
|
| 43 |
-
model = LoopedFullBandwidthMegatronBuilder(cfg).build_model(ProcessGroupCollection.use_mpu_process_groups())
|
| 44 |
-
state = load_file("model.safetensors") | c["non_tensor_state"]
|
| 45 |
-
model.load_state_dict(state, strict=True, assign=True)
|
| 46 |
-
model.eval()
|
| 47 |
-
torch.distributed.destroy_process_group()
|
| 48 |
-
```
|
| 49 |
-
|
| 50 |
-
All exported tensor values/shapes/dtypes/names are exactly equal to the source, all finite, and strict native loading passed. manifest.json hashes every payload file except itself.
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_16000/config.json
DELETED
|
@@ -1,1414 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"checkpoint_format": "safetensors_native_megatron_state_dict",
|
| 3 |
-
"architecture": "full_bandwidth_loop",
|
| 4 |
-
"backbone_profile": "paper2604_vanilla",
|
| 5 |
-
"run_name": "loop_ifm_sharekv_7b_20260920-153012",
|
| 6 |
-
"iteration": 16000,
|
| 7 |
-
"checkpoint_version": 3.0,
|
| 8 |
-
"training_code_revision": "414cc438e67f921df1fcd218dcd738b88c83c2e1",
|
| 9 |
-
"training_base_revision": "414cc438e67f921df1fcd218dcd738b88c83c2e1",
|
| 10 |
-
"source_provenance": "Training used training_code_revision with an empty saved code.diff.",
|
| 11 |
-
"backbone_source_revision": "122366472a31e57982a2877eeee10bb115477713",
|
| 12 |
-
"parameter_counts": {
|
| 13 |
-
"total": 655369088,
|
| 14 |
-
"trainable": 655369088
|
| 15 |
-
},
|
| 16 |
-
"model_arguments": {
|
| 17 |
-
"tensor_model_parallel_size": 1,
|
| 18 |
-
"tensor_parallel_num_weight_shards": 1,
|
| 19 |
-
"pipeline_model_parallel_comm_backend": null,
|
| 20 |
-
"pipeline_model_parallel_size": 1,
|
| 21 |
-
"sequence_parallel": false,
|
| 22 |
-
"context_parallel_size": 1,
|
| 23 |
-
"hierarchical_context_parallel_sizes": null,
|
| 24 |
-
"expert_model_parallel_size": 1,
|
| 25 |
-
"expert_tensor_parallel_size": 1,
|
| 26 |
-
"expert_tensor_parallel_num_weight_shards": 1,
|
| 27 |
-
"perform_initialization": true,
|
| 28 |
-
"use_cpu_initialization": null,
|
| 29 |
-
"fp16": false,
|
| 30 |
-
"bf16": true,
|
| 31 |
-
"deterministic_mode": false,
|
| 32 |
-
"tp_comm_overlap": false,
|
| 33 |
-
"tp_comm_bulk_wgrad": true,
|
| 34 |
-
"tp_comm_bulk_dgrad": true,
|
| 35 |
-
"tp_comm_overlap_ag": true,
|
| 36 |
-
"tp_comm_overlap_rs": true,
|
| 37 |
-
"tp_comm_overlap_rs_dgrad": false,
|
| 38 |
-
"tp_comm_split_ag": true,
|
| 39 |
-
"tp_comm_split_rs": true,
|
| 40 |
-
"cross_entropy_loss_fusion": false,
|
| 41 |
-
"cross_entropy_fusion_impl": "native",
|
| 42 |
-
"tp_comm_bootstrap_backend": "nccl",
|
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| 1387 |
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| 1388 |
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| 1389 |
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| 1390 |
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| 1391 |
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| 1392 |
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| 1393 |
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| 1396 |
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| 1397 |
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| 1398 |
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| 1401 |
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| 1402 |
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| 1403 |
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| 1404 |
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| 1410 |
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| 1411 |
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| 1412 |
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},
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| 1413 |
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"loading": "Construct matching native Megatron model from model_arguments, restore non_tensor_state, load_state_dict(strict=True, assign=True). See README."
|
| 1414 |
-
}
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|
loop_ifm_sharekv_7b_20260920-153012/step_16000/launch_config.env
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
# IFM raw-token input injection before every depth loop; fresh 16-GPU arm.
|
| 2 |
-
source "$(dirname "${BASH_SOURCE[0]}")/476M_7b_FBW0_K3_L2_ADAPTER_SHARE_KV.env"
|
| 3 |
-
LOOP_INPUT_WRITE=ifm_diagonal
|
| 4 |
-
DEPTH_SHARE_KV=true
|
| 5 |
-
NNODES=2
|
| 6 |
-
MICRO_BATCH_SIZE=8
|
| 7 |
-
ENABLE_RECOMPUTE=false
|
| 8 |
-
LOOP_ADAPTER_CHECKPOINT_REFINER=false
|
| 9 |
-
SAVE_RETAIN_INTERVAL=4000
|
| 10 |
-
RUN_NAME=paper2604_loop2_476m_7b_fbw_k3_adapter_ifm_sharekv
|
| 11 |
-
WANDB_RUN_GROUP=loop2_adapter_ifm_476m_7b_FBW_K3
|
| 12 |
-
WANDB_TAGS=product,loop,loop2,paper2604,476m,7b,fullbandwidth,K3,lookahead_refiner,ifm_diagonal,sharekv
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_16000/manifest.json
DELETED
|
@@ -1,25 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"files": {
|
| 3 |
-
"README.md": {
|
| 4 |
-
"size": 3451,
|
| 5 |
-
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loop_ifm_sharekv_7b_20260920-153012/step_16000/model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
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oid sha256:7b6362546d56c93fc05ad7c5285b7a90e0b203a7dc022906efc694a3b703b7b5
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size 1310894448
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loop_ifm_sharekv_7b_20260920-153012/step_16000/training_recipe.json
DELETED
|
@@ -1,163 +0,0 @@
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| 1 |
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{
|
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-
"recipe": "paper2604_21106",
|
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-
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-
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| 40 |
-
0.8,
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-
0.95
|
| 42 |
-
],
|
| 43 |
-
"eps": 1e-10,
|
| 44 |
-
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|
| 45 |
-
"normuon_beta2": 0.95,
|
| 46 |
-
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|
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-
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-
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| 49 |
-
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| 50 |
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"unembedding": 0.0,
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"other": 0.0
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"batch_assumptions": {
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"global_batch_tokens": 262144,
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"round_up": false
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"lr_transfer": "mup_hyperp_released_source",
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| 75 |
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"assumptions": [],
|
| 76 |
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|
| 78 |
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"model": {
|
| 79 |
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"backbone_profile": "paper2604_vanilla",
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| 80 |
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"source_commit": "122366472a31e57982a2877eeee10bb115477713",
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"num_layers": 20,
|
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"head_dim": 128,
|
| 85 |
-
"num_attention_heads": 11,
|
| 86 |
-
"num_kv_heads": 11,
|
| 87 |
-
"ffn_hidden_size": 5632,
|
| 88 |
-
"activation": "squared_relu",
|
| 89 |
-
"attention": "full_causal",
|
| 90 |
-
"attention_output_gate": false,
|
| 91 |
-
"qk_norm": "functional_rmsnorm_after_rope",
|
| 92 |
-
"norm_epsilon": 1e-06,
|
| 93 |
-
"model_level_norms": [
|
| 94 |
-
"embedding",
|
| 95 |
-
"recur",
|
| 96 |
-
"final"
|
| 97 |
-
],
|
| 98 |
-
"rope_base": 10000.0,
|
| 99 |
-
"rope_convention": "split_half_negative_angle_bf16_cos_sin",
|
| 100 |
-
"bias": false,
|
| 101 |
-
"dropout": 0.0,
|
| 102 |
-
"residual_multiplier": 1.0,
|
| 103 |
-
"residual_and_norm_scale_dtype": "float32",
|
| 104 |
-
"projection_dtype": "bfloat16 (production)",
|
| 105 |
-
"tied_embeddings": false,
|
| 106 |
-
"vocab_size": 32001,
|
| 107 |
-
"padded_vocab_size": 32064,
|
| 108 |
-
"logit_softcap": 15.0,
|
| 109 |
-
"crop_padding_before_loss": true,
|
| 110 |
-
"initialization": {
|
| 111 |
-
"embedding_normal_std": 1.0,
|
| 112 |
-
"head_normal_std": 0.001,
|
| 113 |
-
"matrix_uniform_bound": "sqrt(3/fan_in)",
|
| 114 |
-
"norm_scale": 1.0
|
| 115 |
-
},
|
| 116 |
-
"parameter_counts": {
|
| 117 |
-
"non_embedding_matrix_formula": 475791360,
|
| 118 |
-
"non_embedding_paper_N": 475851904,
|
| 119 |
-
"total_trainable": 655369088,
|
| 120 |
-
"feedback_parameters": 3967744,
|
| 121 |
-
"loop_input_write_parameters": 1985280,
|
| 122 |
-
"loop_adapter_parameters": 83271936
|
| 123 |
-
},
|
| 124 |
-
"tokenizer_fidelity_note": "Released preprint/current code uses 32001 active tokens, padded to 32064; paper table reports 32008. Follow executable release; do not invent seven tokens.",
|
| 125 |
-
"execution_architecture": "full_bandwidth_loop",
|
| 126 |
-
"objective": "latent_feedback_causal_lm",
|
| 127 |
-
"feedback_enabled": true,
|
| 128 |
-
"train_passes": 3,
|
| 129 |
-
"eval_passes": 3,
|
| 130 |
-
"feedback_pass_mixture": {
|
| 131 |
-
"3": 1.0
|
| 132 |
-
},
|
| 133 |
-
"feedback_progressive_stages": [],
|
| 134 |
-
"depth_num_loops": 2,
|
| 135 |
-
"logical_layers_per_pass": 40,
|
| 136 |
-
"shared_layer_weights": true,
|
| 137 |
-
"depth_share_kv": true,
|
| 138 |
-
"depth_kv_policy": "first_loop_per_layer_connected",
|
| 139 |
-
"norm_placement": "embedding once; recur/final after loop 2 before three refiners; no post-refiner norm",
|
| 140 |
-
"loop_input_write": "ifm_diagonal",
|
| 141 |
-
"loop_input_write_source": "raw_token_embeddings",
|
| 142 |
-
"loop_input_write_placement": "before_every_depth_loop_after_initial_norm_emb",
|
| 143 |
-
"loop_input_write_sharing": "all_depth_loops_and_outer_feedback_passes",
|
| 144 |
-
"loop_input_write_init": "paper_matrix; a=b_delta=0; alpha=0.5; delta=log(2)",
|
| 145 |
-
"loop_final_adapter": "lookahead_refiner",
|
| 146 |
-
"loop_adapter": {
|
| 147 |
-
"ffn_size": 5632,
|
| 148 |
-
"state_input": "second-loop hidden states after norm_recur and norm_final",
|
| 149 |
-
"terminal_norms": true,
|
| 150 |
-
"attention_backend": "sdpa_auto",
|
| 151 |
-
"checkpoint_refiner": false,
|
| 152 |
-
"bank_layers": [
|
| 153 |
-
0,
|
| 154 |
-
10,
|
| 155 |
-
19
|
| 156 |
-
],
|
| 157 |
-
"bank_source": "first depth loop, fresh on each feedback pass",
|
| 158 |
-
"weight_sharing": "one adapter shared across feedback passes"
|
| 159 |
-
},
|
| 160 |
-
"block_application_multiplier_per_pass": 2.15,
|
| 161 |
-
"block_application_multiplier": 6.449999999999999
|
| 162 |
-
}
|
| 163 |
-
}
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loop_ifm_sharekv_7b_20260920-153012/step_20000/README.md
DELETED
|
@@ -1,50 +0,0 @@
|
|
| 1 |
-
# loop_ifm_sharekv_7b_20260920-153012 / step_20000
|
| 2 |
-
|
| 3 |
-
Native shared-KV full-bandwidth loop K3/L2 with IFM diagonal raw-embedding writes and a terminal adapter, 655,369,088 parameters. Checkpoint step 20000, consumed 5,242,880,000 input tokens. The full run finished at 26,703 steps with exit 0. Earlier checkpoints are intermediate weights; no final evaluation metric is asserted here.
|
| 4 |
-
|
| 5 |
-
Training snapshot source exactly matches https://github.com/FFishy-git/loopTF-workspace/tree/414cc438e67f921df1fcd218dcd738b88c83c2e1 (repository access may be required). The training revision is recorded in config.json; the saved code.diff is empty. Megatron-LM revision ed6ac270bacb6a4258e1c5b4a911bcf0fd3e4d9b; use the project's training dependencies. Export verification used Python 3.13.11 and torch 2.14.0+cu132.
|
| 6 |
-
|
| 7 |
-
Native safetensors weights only, not a Transformers AutoModel package or full training-resume bundle. Tensor names and mixed dtypes are preserved. Null Megatron extra-state entries are recorded explicitly in config.json. Optimizer/scheduler/RNG/dataloader state is excluded. The JSON model arguments are the effective saved settings; they override the base launch snapshot. K3 denotes three feedback passes, each with two shared-stack depth loops and terminal refiners. IFM injects raw token embeddings before both depth loops with shared projection/gating parameters. Loop2 reuses connected first-loop KV. Preserve all IFM tensors and settings when loading; a non-IFM model is incompatible.
|
| 8 |
-
|
| 9 |
-
## Native CPU loading
|
| 10 |
-
|
| 11 |
-
```python
|
| 12 |
-
import json, torch, importlib, tempfile
|
| 13 |
-
from argparse import Namespace
|
| 14 |
-
from megatron.core import parallel_state
|
| 15 |
-
from megatron.core.process_groups_config import ProcessGroupCollection
|
| 16 |
-
from full_bandwidth_loop_tf.megatron.config import build_model_config
|
| 17 |
-
from full_bandwidth_loop_tf.megatron.builder import LoopedFullBandwidthMegatronBuilder
|
| 18 |
-
from safetensors.torch import load_file
|
| 19 |
-
|
| 20 |
-
def decode(x):
|
| 21 |
-
if isinstance(x, dict):
|
| 22 |
-
if "__torch_dtype__" in x: return getattr(torch, x["__torch_dtype__"])
|
| 23 |
-
if "__dataclass__" in x:
|
| 24 |
-
module, cls, values = x["__dataclass__"]
|
| 25 |
-
return getattr(importlib.import_module(module), cls)(**decode(values))
|
| 26 |
-
if "__enum__" in x:
|
| 27 |
-
module, cls, member = x["__enum__"]
|
| 28 |
-
return getattr(importlib.import_module(module), cls)[member]
|
| 29 |
-
return {k: decode(v) for k, v in x.items()}
|
| 30 |
-
if isinstance(x, list): return [decode(v) for v in x]
|
| 31 |
-
return x
|
| 32 |
-
|
| 33 |
-
c = json.load(open("config.json"))
|
| 34 |
-
a = Namespace(**decode(c["model_arguments"]))
|
| 35 |
-
a.use_cpu_initialization = True
|
| 36 |
-
a.perform_initialization = False
|
| 37 |
-
cfg = build_model_config(a)
|
| 38 |
-
# Standalone CPU loading; use your existing groups in an initialized runtime.
|
| 39 |
-
with tempfile.TemporaryDirectory() as tmp:
|
| 40 |
-
torch.distributed.init_process_group("gloo", init_method="file://" + tmp + "/rdzv", rank=0, world_size=1)
|
| 41 |
-
parallel_state.initialize_model_parallel()
|
| 42 |
-
with torch.device("meta"):
|
| 43 |
-
model = LoopedFullBandwidthMegatronBuilder(cfg).build_model(ProcessGroupCollection.use_mpu_process_groups())
|
| 44 |
-
state = load_file("model.safetensors") | c["non_tensor_state"]
|
| 45 |
-
model.load_state_dict(state, strict=True, assign=True)
|
| 46 |
-
model.eval()
|
| 47 |
-
torch.distributed.destroy_process_group()
|
| 48 |
-
```
|
| 49 |
-
|
| 50 |
-
All exported tensor values/shapes/dtypes/names are exactly equal to the source, all finite, and strict native loading passed. manifest.json hashes every payload file except itself.
|
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loop_ifm_sharekv_7b_20260920-153012/step_20000/config.json
DELETED
|
@@ -1,1414 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"checkpoint_format": "safetensors_native_megatron_state_dict",
|
| 3 |
-
"architecture": "full_bandwidth_loop",
|
| 4 |
-
"backbone_profile": "paper2604_vanilla",
|
| 5 |
-
"run_name": "loop_ifm_sharekv_7b_20260920-153012",
|
| 6 |
-
"iteration": 20000,
|
| 7 |
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|
| 10 |
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"source_provenance": "Training used training_code_revision with an empty saved code.diff.",
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"backbone_source_revision": "122366472a31e57982a2877eeee10bb115477713",
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| 71 |
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| 1398 |
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| 1402 |
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| 1412 |
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},
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| 1413 |
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|
| 1414 |
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}
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loop_ifm_sharekv_7b_20260920-153012/step_20000/launch_config.env
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
# IFM raw-token input injection before every depth loop; fresh 16-GPU arm.
|
| 2 |
-
source "$(dirname "${BASH_SOURCE[0]}")/476M_7b_FBW0_K3_L2_ADAPTER_SHARE_KV.env"
|
| 3 |
-
LOOP_INPUT_WRITE=ifm_diagonal
|
| 4 |
-
DEPTH_SHARE_KV=true
|
| 5 |
-
NNODES=2
|
| 6 |
-
MICRO_BATCH_SIZE=8
|
| 7 |
-
ENABLE_RECOMPUTE=false
|
| 8 |
-
LOOP_ADAPTER_CHECKPOINT_REFINER=false
|
| 9 |
-
SAVE_RETAIN_INTERVAL=4000
|
| 10 |
-
RUN_NAME=paper2604_loop2_476m_7b_fbw_k3_adapter_ifm_sharekv
|
| 11 |
-
WANDB_RUN_GROUP=loop2_adapter_ifm_476m_7b_FBW_K3
|
| 12 |
-
WANDB_TAGS=product,loop,loop2,paper2604,476m,7b,fullbandwidth,K3,lookahead_refiner,ifm_diagonal,sharekv
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loop_ifm_sharekv_7b_20260920-153012/step_20000/manifest.json
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|
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{
|
| 2 |
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"files": {
|
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-
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|
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-
"sha256": "10e6715718b11885ba343029d01e3f3d562da7e03c71eebcae8118e2728d80c0"
|
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|
| 7 |
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|
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"size": 54156,
|
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|
| 10 |
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|
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|
| 18 |
-
},
|
| 19 |
-
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|
| 20 |
-
"size": 5102,
|
| 21 |
-
"sha256": "9d83cdc447b73c02c4b65e3e41fe8e9dcd215d22a90b15b403904203af0df61d"
|
| 22 |
-
}
|
| 23 |
-
},
|
| 24 |
-
"note": "Manifest does not hash itself."
|
| 25 |
-
}
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loop_ifm_sharekv_7b_20260920-153012/step_20000/model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
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|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:35fede4757419e4449384de7e64a0f4a8e92305937fdf6dde9cc00c3cbf6b175
|
| 3 |
-
size 1310894448
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loop_ifm_sharekv_7b_20260920-153012/step_20000/training_recipe.json
DELETED
|
@@ -1,163 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"recipe": "paper2604_21106",
|
| 3 |
-
"width": 1408,
|
| 4 |
-
"total_tokens": 7000031232,
|
| 5 |
-
"batch_tokens": 262144,
|
| 6 |
-
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|
| 7 |
-
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|
| 8 |
-
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|
| 9 |
-
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|
| 10 |
-
"matrix": 0.014,
|
| 11 |
-
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|
| 12 |
-
"unembedding": 0.004,
|
| 13 |
-
"norm": 0.005,
|
| 14 |
-
"other": 0.005
|
| 15 |
-
},
|
| 16 |
-
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|
| 17 |
-
"matrix": 0.007470638533717786,
|
| 18 |
-
"embedding": 0.2022599587389726,
|
| 19 |
-
"unembedding": 0.0026967994498529684,
|
| 20 |
-
"norm": 0.00337099931231621,
|
| 21 |
-
"other": 0.00337099931231621
|
| 22 |
-
},
|
| 23 |
-
"reference": "paper vanilla 0-20-0 at width 640; configurable token anchor",
|
| 24 |
-
"tied_embedding_policy": "unembedding (one AdamW update)",
|
| 25 |
-
"other_parameter_policy": "norm LR (extension for non-paper scalars/biases)",
|
| 26 |
-
"weight_decay": 0.0,
|
| 27 |
-
"warmup_steps": 0,
|
| 28 |
-
"final_lr_fraction": 0.1,
|
| 29 |
-
"optimizer": {
|
| 30 |
-
"name": "muonh",
|
| 31 |
-
"matrix_lr": 0.014,
|
| 32 |
-
"scalar_lr": null,
|
| 33 |
-
"matrix_weight_decay": 0.0,
|
| 34 |
-
"scalar_weight_decay": 0.0,
|
| 35 |
-
"embedding_lr": 0.3,
|
| 36 |
-
"unembedding_lr": 0.004,
|
| 37 |
-
"norm_lr": 0.005,
|
| 38 |
-
"other_lr": 0.005,
|
| 39 |
-
"betas": [
|
| 40 |
-
0.8,
|
| 41 |
-
0.95
|
| 42 |
-
],
|
| 43 |
-
"eps": 1e-10,
|
| 44 |
-
"normuon_momentum": 0.95,
|
| 45 |
-
"normuon_beta2": 0.95,
|
| 46 |
-
"normuon_nesterov": true,
|
| 47 |
-
"normuon_adjust_lr": "spectral_norm",
|
| 48 |
-
"max_grad_norm": null
|
| 49 |
-
},
|
| 50 |
-
"schedule": {
|
| 51 |
-
"kind": "linear",
|
| 52 |
-
"warmup_steps": 0,
|
| 53 |
-
"cooldown_fraction": 0.0,
|
| 54 |
-
"cooldown_style": "linear",
|
| 55 |
-
"final_lr_fraction": 0.1,
|
| 56 |
-
"z_loss_coefficient": 0.0,
|
| 57 |
-
"adamc_weight_decay": false
|
| 58 |
-
},
|
| 59 |
-
"group_weight_decay": {
|
| 60 |
-
"matrix": 0.0,
|
| 61 |
-
"embedding": 0.0,
|
| 62 |
-
"unembedding": 0.0,
|
| 63 |
-
"norm": 0.0,
|
| 64 |
-
"other": 0.0
|
| 65 |
-
},
|
| 66 |
-
"recipe_overrides": {},
|
| 67 |
-
"requested_batch_tokens": 262144,
|
| 68 |
-
"sequence_length": 2048,
|
| 69 |
-
"batch_assumptions": {
|
| 70 |
-
"global_batch_tokens": 262144,
|
| 71 |
-
"sequence_length": 2048,
|
| 72 |
-
"round_up": false
|
| 73 |
-
},
|
| 74 |
-
"lr_transfer": "mup_hyperp_released_source",
|
| 75 |
-
"assumptions": [],
|
| 76 |
-
"backend_kernel_assumptions": {},
|
| 77 |
-
"paper_settings_overridden": false,
|
| 78 |
-
"model": {
|
| 79 |
-
"backbone_profile": "paper2604_vanilla",
|
| 80 |
-
"source_commit": "122366472a31e57982a2877eeee10bb115477713",
|
| 81 |
-
"width_scale": 22,
|
| 82 |
-
"hidden_size": 1408,
|
| 83 |
-
"num_layers": 20,
|
| 84 |
-
"head_dim": 128,
|
| 85 |
-
"num_attention_heads": 11,
|
| 86 |
-
"num_kv_heads": 11,
|
| 87 |
-
"ffn_hidden_size": 5632,
|
| 88 |
-
"activation": "squared_relu",
|
| 89 |
-
"attention": "full_causal",
|
| 90 |
-
"attention_output_gate": false,
|
| 91 |
-
"qk_norm": "functional_rmsnorm_after_rope",
|
| 92 |
-
"norm_epsilon": 1e-06,
|
| 93 |
-
"model_level_norms": [
|
| 94 |
-
"embedding",
|
| 95 |
-
"recur",
|
| 96 |
-
"final"
|
| 97 |
-
],
|
| 98 |
-
"rope_base": 10000.0,
|
| 99 |
-
"rope_convention": "split_half_negative_angle_bf16_cos_sin",
|
| 100 |
-
"bias": false,
|
| 101 |
-
"dropout": 0.0,
|
| 102 |
-
"residual_multiplier": 1.0,
|
| 103 |
-
"residual_and_norm_scale_dtype": "float32",
|
| 104 |
-
"projection_dtype": "bfloat16 (production)",
|
| 105 |
-
"tied_embeddings": false,
|
| 106 |
-
"vocab_size": 32001,
|
| 107 |
-
"padded_vocab_size": 32064,
|
| 108 |
-
"logit_softcap": 15.0,
|
| 109 |
-
"crop_padding_before_loss": true,
|
| 110 |
-
"initialization": {
|
| 111 |
-
"embedding_normal_std": 1.0,
|
| 112 |
-
"head_normal_std": 0.001,
|
| 113 |
-
"matrix_uniform_bound": "sqrt(3/fan_in)",
|
| 114 |
-
"norm_scale": 1.0
|
| 115 |
-
},
|
| 116 |
-
"parameter_counts": {
|
| 117 |
-
"non_embedding_matrix_formula": 475791360,
|
| 118 |
-
"non_embedding_paper_N": 475851904,
|
| 119 |
-
"total_trainable": 655369088,
|
| 120 |
-
"feedback_parameters": 3967744,
|
| 121 |
-
"loop_input_write_parameters": 1985280,
|
| 122 |
-
"loop_adapter_parameters": 83271936
|
| 123 |
-
},
|
| 124 |
-
"tokenizer_fidelity_note": "Released preprint/current code uses 32001 active tokens, padded to 32064; paper table reports 32008. Follow executable release; do not invent seven tokens.",
|
| 125 |
-
"execution_architecture": "full_bandwidth_loop",
|
| 126 |
-
"objective": "latent_feedback_causal_lm",
|
| 127 |
-
"feedback_enabled": true,
|
| 128 |
-
"train_passes": 3,
|
| 129 |
-
"eval_passes": 3,
|
| 130 |
-
"feedback_pass_mixture": {
|
| 131 |
-
"3": 1.0
|
| 132 |
-
},
|
| 133 |
-
"feedback_progressive_stages": [],
|
| 134 |
-
"depth_num_loops": 2,
|
| 135 |
-
"logical_layers_per_pass": 40,
|
| 136 |
-
"shared_layer_weights": true,
|
| 137 |
-
"depth_share_kv": true,
|
| 138 |
-
"depth_kv_policy": "first_loop_per_layer_connected",
|
| 139 |
-
"norm_placement": "embedding once; recur/final after loop 2 before three refiners; no post-refiner norm",
|
| 140 |
-
"loop_input_write": "ifm_diagonal",
|
| 141 |
-
"loop_input_write_source": "raw_token_embeddings",
|
| 142 |
-
"loop_input_write_placement": "before_every_depth_loop_after_initial_norm_emb",
|
| 143 |
-
"loop_input_write_sharing": "all_depth_loops_and_outer_feedback_passes",
|
| 144 |
-
"loop_input_write_init": "paper_matrix; a=b_delta=0; alpha=0.5; delta=log(2)",
|
| 145 |
-
"loop_final_adapter": "lookahead_refiner",
|
| 146 |
-
"loop_adapter": {
|
| 147 |
-
"ffn_size": 5632,
|
| 148 |
-
"state_input": "second-loop hidden states after norm_recur and norm_final",
|
| 149 |
-
"terminal_norms": true,
|
| 150 |
-
"attention_backend": "sdpa_auto",
|
| 151 |
-
"checkpoint_refiner": false,
|
| 152 |
-
"bank_layers": [
|
| 153 |
-
0,
|
| 154 |
-
10,
|
| 155 |
-
19
|
| 156 |
-
],
|
| 157 |
-
"bank_source": "first depth loop, fresh on each feedback pass",
|
| 158 |
-
"weight_sharing": "one adapter shared across feedback passes"
|
| 159 |
-
},
|
| 160 |
-
"block_application_multiplier_per_pass": 2.15,
|
| 161 |
-
"block_application_multiplier": 6.449999999999999
|
| 162 |
-
}
|
| 163 |
-
}
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loop_ifm_sharekv_7b_20260920-153012/step_24000/README.md
DELETED
|
@@ -1,50 +0,0 @@
|
|
| 1 |
-
# loop_ifm_sharekv_7b_20260920-153012 / step_24000
|
| 2 |
-
|
| 3 |
-
Native shared-KV full-bandwidth loop K3/L2 with IFM diagonal raw-embedding writes and a terminal adapter, 655,369,088 parameters. Checkpoint step 24000, consumed 6,291,456,000 input tokens. The full run finished at 26,703 steps with exit 0. Earlier checkpoints are intermediate weights; no final evaluation metric is asserted here.
|
| 4 |
-
|
| 5 |
-
Training snapshot source exactly matches https://github.com/FFishy-git/loopTF-workspace/tree/414cc438e67f921df1fcd218dcd738b88c83c2e1 (repository access may be required). The training revision is recorded in config.json; the saved code.diff is empty. Megatron-LM revision ed6ac270bacb6a4258e1c5b4a911bcf0fd3e4d9b; use the project's training dependencies. Export verification used Python 3.13.11 and torch 2.14.0+cu132.
|
| 6 |
-
|
| 7 |
-
Native safetensors weights only, not a Transformers AutoModel package or full training-resume bundle. Tensor names and mixed dtypes are preserved. Null Megatron extra-state entries are recorded explicitly in config.json. Optimizer/scheduler/RNG/dataloader state is excluded. The JSON model arguments are the effective saved settings; they override the base launch snapshot. K3 denotes three feedback passes, each with two shared-stack depth loops and terminal refiners. IFM injects raw token embeddings before both depth loops with shared projection/gating parameters. Loop2 reuses connected first-loop KV. Preserve all IFM tensors and settings when loading; a non-IFM model is incompatible.
|
| 8 |
-
|
| 9 |
-
## Native CPU loading
|
| 10 |
-
|
| 11 |
-
```python
|
| 12 |
-
import json, torch, importlib, tempfile
|
| 13 |
-
from argparse import Namespace
|
| 14 |
-
from megatron.core import parallel_state
|
| 15 |
-
from megatron.core.process_groups_config import ProcessGroupCollection
|
| 16 |
-
from full_bandwidth_loop_tf.megatron.config import build_model_config
|
| 17 |
-
from full_bandwidth_loop_tf.megatron.builder import LoopedFullBandwidthMegatronBuilder
|
| 18 |
-
from safetensors.torch import load_file
|
| 19 |
-
|
| 20 |
-
def decode(x):
|
| 21 |
-
if isinstance(x, dict):
|
| 22 |
-
if "__torch_dtype__" in x: return getattr(torch, x["__torch_dtype__"])
|
| 23 |
-
if "__dataclass__" in x:
|
| 24 |
-
module, cls, values = x["__dataclass__"]
|
| 25 |
-
return getattr(importlib.import_module(module), cls)(**decode(values))
|
| 26 |
-
if "__enum__" in x:
|
| 27 |
-
module, cls, member = x["__enum__"]
|
| 28 |
-
return getattr(importlib.import_module(module), cls)[member]
|
| 29 |
-
return {k: decode(v) for k, v in x.items()}
|
| 30 |
-
if isinstance(x, list): return [decode(v) for v in x]
|
| 31 |
-
return x
|
| 32 |
-
|
| 33 |
-
c = json.load(open("config.json"))
|
| 34 |
-
a = Namespace(**decode(c["model_arguments"]))
|
| 35 |
-
a.use_cpu_initialization = True
|
| 36 |
-
a.perform_initialization = False
|
| 37 |
-
cfg = build_model_config(a)
|
| 38 |
-
# Standalone CPU loading; use your existing groups in an initialized runtime.
|
| 39 |
-
with tempfile.TemporaryDirectory() as tmp:
|
| 40 |
-
torch.distributed.init_process_group("gloo", init_method="file://" + tmp + "/rdzv", rank=0, world_size=1)
|
| 41 |
-
parallel_state.initialize_model_parallel()
|
| 42 |
-
with torch.device("meta"):
|
| 43 |
-
model = LoopedFullBandwidthMegatronBuilder(cfg).build_model(ProcessGroupCollection.use_mpu_process_groups())
|
| 44 |
-
state = load_file("model.safetensors") | c["non_tensor_state"]
|
| 45 |
-
model.load_state_dict(state, strict=True, assign=True)
|
| 46 |
-
model.eval()
|
| 47 |
-
torch.distributed.destroy_process_group()
|
| 48 |
-
```
|
| 49 |
-
|
| 50 |
-
All exported tensor values/shapes/dtypes/names are exactly equal to the source, all finite, and strict native loading passed. manifest.json hashes every payload file except itself.
|
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|
|
loop_ifm_sharekv_7b_20260920-153012/step_24000/config.json
DELETED
|
@@ -1,1414 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"checkpoint_format": "safetensors_native_megatron_state_dict",
|
| 3 |
-
"architecture": "full_bandwidth_loop",
|
| 4 |
-
"backbone_profile": "paper2604_vanilla",
|
| 5 |
-
"run_name": "loop_ifm_sharekv_7b_20260920-153012",
|
| 6 |
-
"iteration": 24000,
|
| 7 |
-
"checkpoint_version": 3.0,
|
| 8 |
-
"training_code_revision": "414cc438e67f921df1fcd218dcd738b88c83c2e1",
|
| 9 |
-
"training_base_revision": "414cc438e67f921df1fcd218dcd738b88c83c2e1",
|
| 10 |
-
"source_provenance": "Training used training_code_revision with an empty saved code.diff.",
|
| 11 |
-
"backbone_source_revision": "122366472a31e57982a2877eeee10bb115477713",
|
| 12 |
-
"parameter_counts": {
|
| 13 |
-
"total": 655369088,
|
| 14 |
-
"trainable": 655369088
|
| 15 |
-
},
|
| 16 |
-
"model_arguments": {
|
| 17 |
-
"tensor_model_parallel_size": 1,
|
| 18 |
-
"tensor_parallel_num_weight_shards": 1,
|
| 19 |
-
"pipeline_model_parallel_comm_backend": null,
|
| 20 |
-
"pipeline_model_parallel_size": 1,
|
| 21 |
-
"sequence_parallel": false,
|
| 22 |
-
"context_parallel_size": 1,
|
| 23 |
-
"hierarchical_context_parallel_sizes": null,
|
| 24 |
-
"expert_model_parallel_size": 1,
|
| 25 |
-
"expert_tensor_parallel_size": 1,
|
| 26 |
-
"expert_tensor_parallel_num_weight_shards": 1,
|
| 27 |
-
"perform_initialization": true,
|
| 28 |
-
"use_cpu_initialization": null,
|
| 29 |
-
"fp16": false,
|
| 30 |
-
"bf16": true,
|
| 31 |
-
"deterministic_mode": false,
|
| 32 |
-
"tp_comm_overlap": false,
|
| 33 |
-
"tp_comm_bulk_wgrad": true,
|
| 34 |
-
"tp_comm_bulk_dgrad": true,
|
| 35 |
-
"tp_comm_overlap_ag": true,
|
| 36 |
-
"tp_comm_overlap_rs": true,
|
| 37 |
-
"tp_comm_overlap_rs_dgrad": false,
|
| 38 |
-
"tp_comm_split_ag": true,
|
| 39 |
-
"tp_comm_split_rs": true,
|
| 40 |
-
"cross_entropy_loss_fusion": false,
|
| 41 |
-
"cross_entropy_fusion_impl": "native",
|
| 42 |
-
"tp_comm_bootstrap_backend": "nccl",
|
| 43 |
-
"overlap_moe_expert_parallel_comm": false,
|
| 44 |
-
"delay_wgrad_compute": false,
|
| 45 |
-
"overlap_dispatch_backward_with_experts_wgrad": false,
|
| 46 |
-
"ep_overlap_early_attn_memory_release": false,
|
| 47 |
-
"use_ring_exchange_p2p": false,
|
| 48 |
-
"defer_embedding_wgrad_compute": false,
|
| 49 |
-
"wgrad_deferral_limit": 0,
|
| 50 |
-
"overlap_p2p_comm_warmup_flush": false,
|
| 51 |
-
"microbatch_group_size_per_vp_stage": null,
|
| 52 |
-
"mtp_standalone": false,
|
| 53 |
-
"cpu_offloading_num_layers": 0,
|
| 54 |
-
"cpu_offloading_retain_pinned_cpu_buffers": false,
|
| 55 |
-
"num_layers": 20,
|
| 56 |
-
"mtp_num_layers": null,
|
| 57 |
-
"mtp_loss_scaling_factor": 0.1,
|
| 58 |
-
"mtp_use_repeated_layer": false,
|
| 59 |
-
"mtp_detach_heads": false,
|
| 60 |
-
"mtp_hsm": false,
|
| 61 |
-
"mtp_hybrid_override_pattern": null,
|
| 62 |
-
"account_for_embedding_in_pipeline_split": false,
|
| 63 |
-
"account_for_loss_in_pipeline_split": false,
|
| 64 |
-
"hidden_size": 1408,
|
| 65 |
-
"num_attention_heads": 11,
|
| 66 |
-
"attention_backend": {
|
| 67 |
-
"__enum__": [
|
| 68 |
-
"megatron.core.transformer.enums",
|
| 69 |
-
"AttnBackend",
|
| 70 |
-
"auto"
|
| 71 |
-
]
|
| 72 |
-
},
|
| 73 |
-
"flash_attention_version": null,
|
| 74 |
-
"softmax_type": "vanilla",
|
| 75 |
-
"num_query_groups": 11,
|
| 76 |
-
"ffn_hidden_size": 5632,
|
| 77 |
-
"kv_channels": 128,
|
| 78 |
-
"hidden_dropout": 0.0,
|
| 79 |
-
"attention_dropout": 0.0,
|
| 80 |
-
"fp32_residual_connection": false,
|
| 81 |
-
"apply_residual_connection_post_layernorm": false,
|
| 82 |
-
"layernorm_epsilon": 1e-06,
|
| 83 |
-
"layernorm_zero_centered_gamma": false,
|
| 84 |
-
"add_bias_linear": false,
|
| 85 |
-
"add_qkv_bias": false,
|
| 86 |
-
"glu_linear_offset": 0.0,
|
| 87 |
-
"activation_func_clamp_value": null,
|
| 88 |
-
"rotary_interleaved": false,
|
| 89 |
-
"normalization": "RMSNorm",
|
| 90 |
-
"qk_layernorm": false,
|
| 91 |
-
"qk_l2_norm": false,
|
| 92 |
-
"qk_clip": false,
|
| 93 |
-
"qk_clip_alpha": 0.5,
|
| 94 |
-
"qk_clip_threshold": 100,
|
| 95 |
-
"attention_output_gate": false,
|
| 96 |
-
"calculate_per_token_loss": false,
|
| 97 |
-
"multi_latent_attention": false,
|
| 98 |
-
"experimental_attention_variant": null,
|
| 99 |
-
"dsa_indexer_n_heads": null,
|
| 100 |
-
"dsa_indexer_head_dim": null,
|
| 101 |
-
"dsa_indexer_topk": null,
|
| 102 |
-
"dsa_indexer_topk_freq": 1,
|
| 103 |
-
"dsa_indexer_skip_topk_offset": 0,
|
| 104 |
-
"dsa_indexer_loss_coeff": null,
|
| 105 |
-
"dsa_indexer_use_sparse_loss": false,
|
| 106 |
-
"dsa_kernel_backend": "none",
|
| 107 |
-
"dsa_indexer_rope_interleaved": false,
|
| 108 |
-
"dsa_indexer_rotate_activation": true,
|
| 109 |
-
"dsa_indexer_scoring_relu": true,
|
| 110 |
-
"dsa_indexer_k_norm_epsilon": null,
|
| 111 |
-
"dsa_indexer_k_norm_fp32": false,
|
| 112 |
-
"csa_window_size": 128,
|
| 113 |
-
"csa_compress_ratios": null,
|
| 114 |
-
"csa_compress_rotary_base": 40000.0,
|
| 115 |
-
"csa_dense_mode": false,
|
| 116 |
-
"linear_conv_kernel_dim": 4,
|
| 117 |
-
"linear_key_head_dim": 128,
|
| 118 |
-
"linear_value_head_dim": 128,
|
| 119 |
-
"linear_num_key_heads": 16,
|
| 120 |
-
"linear_num_value_heads": 32,
|
| 121 |
-
"init_method_std": 0.02,
|
| 122 |
-
"embedding_init_method_std": null,
|
| 123 |
-
"init_model_with_meta_device": false,
|
| 124 |
-
"use_mup": false,
|
| 125 |
-
"mup_width_mult": 1.0,
|
| 126 |
-
"mup_base_hidden_size": null,
|
| 127 |
-
"mup_embedding_mult": 1.0,
|
| 128 |
-
"mup_output_mult": 1.0,
|
| 129 |
-
"mup_base_head_dim": null,
|
| 130 |
-
"mup_attn_scale_power": 1.0,
|
| 131 |
-
"apply_query_key_layer_scaling": false,
|
| 132 |
-
"disable_bf16_reduced_precision_matmul": false,
|
| 133 |
-
"use_fused_weighted_squared_relu": false,
|
| 134 |
-
"fused_residual_rmsnorm": false,
|
| 135 |
-
"use_transformer_engine_op_fuser": false,
|
| 136 |
-
"recompute_granularity": null,
|
| 137 |
-
"recompute_method": null,
|
| 138 |
-
"recompute_num_layers": null,
|
| 139 |
-
"distribute_saved_activations": false,
|
| 140 |
-
"recompute_modules": null,
|
| 141 |
-
"fp8": null,
|
| 142 |
-
"fp8_recipe": "delayed",
|
| 143 |
-
"fp8_quantizer_factory": null,
|
| 144 |
-
"fp8_margin": 0,
|
| 145 |
-
"fp8_interval": 1,
|
| 146 |
-
"fp8_amax_history_len": 1,
|
| 147 |
-
"fp8_amax_compute_algo": "most_recent",
|
| 148 |
-
"fp8_wgrad": true,
|
| 149 |
-
"fp8_output_proj": false,
|
| 150 |
-
"first_last_layers_bf16": false,
|
| 151 |
-
"num_layers_at_start_in_bf16": 1,
|
| 152 |
-
"num_layers_at_end_in_bf16": 1,
|
| 153 |
-
"use_kitchen_attention": false,
|
| 154 |
-
"kitchen_attention_backend": "sdpa",
|
| 155 |
-
"fp4": null,
|
| 156 |
-
"fp4_recipe": "nvfp4",
|
| 157 |
-
"fp4_quantizer_factory": null,
|
| 158 |
-
"high_priority_a2a_comm_stream": false,
|
| 159 |
-
"moe_shared_expert_intermediate_size": null,
|
| 160 |
-
"moe_shared_expert_gate": false,
|
| 161 |
-
"moe_shared_expert_overlap": false,
|
| 162 |
-
"use_grouped_gemm_for_shared_expert": false,
|
| 163 |
-
"moe_shared_expert_glu_interleave_size": null,
|
| 164 |
-
"moe_ffn_hidden_size": null,
|
| 165 |
-
"moe_router_topk": 2,
|
| 166 |
-
"moe_enable_routing_replay": false,
|
| 167 |
-
"moe_router_padding_for_quantization": false,
|
| 168 |
-
"moe_router_padding_for_fp8": false,
|
| 169 |
-
"moe_router_num_groups": null,
|
| 170 |
-
"moe_router_group_topk": null,
|
| 171 |
-
"moe_router_pre_softmax": false,
|
| 172 |
-
"moe_router_topk_scaling_factor": null,
|
| 173 |
-
"moe_router_score_function": "softmax",
|
| 174 |
-
"moe_router_dtype": null,
|
| 175 |
-
"moe_router_skip_muon": false,
|
| 176 |
-
"moe_router_enable_expert_bias": false,
|
| 177 |
-
"moe_router_bias_update_rate": 0.001,
|
| 178 |
-
"moe_router_quantile_balancing_ema": 0.0,
|
| 179 |
-
"moe_router_force_load_balancing": false,
|
| 180 |
-
"moe_router_force_biased": null,
|
| 181 |
-
"use_grouped_gemm_for_dense_mlp": false,
|
| 182 |
-
"moe_grouped_gemm": false,
|
| 183 |
-
"moe_use_grouped_tensor": false,
|
| 184 |
-
"moe_single_grouped_weight": false,
|
| 185 |
-
"moe_single_grouped_bias": false,
|
| 186 |
-
"moe_z_loss_coeff": null,
|
| 187 |
-
"moe_input_jitter_eps": null,
|
| 188 |
-
"moe_token_dispatcher_type": "allgather",
|
| 189 |
-
"moe_enable_deepep": false,
|
| 190 |
-
"moe_flex_dispatcher_backend": "deepep",
|
| 191 |
-
"moe_permute_fusion_into_hybridep": false,
|
| 192 |
-
"moe_hybridep_pad_uneven_dispatch_inputs": false,
|
| 193 |
-
"moe_per_layer_logging": false,
|
| 194 |
-
"moe_expert_capacity_factor": null,
|
| 195 |
-
"moe_pad_expert_input_to_capacity": false,
|
| 196 |
-
"moe_pad_experts_for_cuda_graph_inference": false,
|
| 197 |
-
"moe_token_drop_policy": "probs",
|
| 198 |
-
"moe_layer_recompute": false,
|
| 199 |
-
"moe_permute_fusion": false,
|
| 200 |
-
"moe_router_fusion": false,
|
| 201 |
-
"moe_apply_probs_on_input": false,
|
| 202 |
-
"moe_latent_size": null,
|
| 203 |
-
"moe_use_norm_before_up_proj": false,
|
| 204 |
-
"gtp_remat_opt_in_modules": [],
|
| 205 |
-
"moe_flex_dispatcher_num_sms": null,
|
| 206 |
-
"moe_deepep_num_sms": null,
|
| 207 |
-
"moe_hybridep_num_sms": null,
|
| 208 |
-
"moe_hybridep_num_blocks_permute": null,
|
| 209 |
-
"moe_hybridep_num_blocks_unpermute": null,
|
| 210 |
-
"moe_hybridep_num_sms_preprocessing": 108,
|
| 211 |
-
"moe_ncclep_zero_copy": false,
|
| 212 |
-
"moe_dispatch_fwd_dtype": "bf16",
|
| 213 |
-
"moe_combine_bwd_dtype": "bf16",
|
| 214 |
-
"moe_mlp_glu_interleave_size": null,
|
| 215 |
-
"moe_expert_rank_capacity_factor": null,
|
| 216 |
-
"linear_cp_mode": "headwise",
|
| 217 |
-
"linear_cp_layout": "zigzag",
|
| 218 |
-
"attention_cp_layout": "zigzag",
|
| 219 |
-
"enable_cuda_graph": false,
|
| 220 |
-
"cuda_graph_warmup_steps": 3,
|
| 221 |
-
"external_cuda_graph": false,
|
| 222 |
-
"cuda_graph_impl": "none",
|
| 223 |
-
"inference_cuda_graph_scope": {
|
| 224 |
-
"__enum__": [
|
| 225 |
-
"megatron.core.transformer.enums",
|
| 226 |
-
"InferenceCudaGraphScope",
|
| 227 |
-
"none"
|
| 228 |
-
]
|
| 229 |
-
},
|
| 230 |
-
"enable_mhc_connections": false,
|
| 231 |
-
"mhc_num_residual_streams": 4,
|
| 232 |
-
"mhc_sinkhorn_iterations": 20,
|
| 233 |
-
"mhc_init_gating_factor": 0.01,
|
| 234 |
-
"use_fused_mhc": false,
|
| 235 |
-
"mhc_fused_backend": "auto",
|
| 236 |
-
"mhc_recompute_layer_num": null,
|
| 237 |
-
"clone_scatter_output_in_embedding": true,
|
| 238 |
-
"config_logger_dir": "",
|
| 239 |
-
"flash_decode": false,
|
| 240 |
-
"batch_invariant_mode": false,
|
| 241 |
-
"batch_invariant_backend": "te_native",
|
| 242 |
-
"batch_invariant_collective": "ordered",
|
| 243 |
-
"use_te_activation_func": false,
|
| 244 |
-
"symmetric_ar_type": null,
|
| 245 |
-
"nccl_all_reduce_for_prefill": false,
|
| 246 |
-
"inference_fuse_tp_communication": false,
|
| 247 |
-
"inference_disable_triton_nvls_kernels": false,
|
| 248 |
-
"inference_grouped_gemm_backend": "vllm",
|
| 249 |
-
"inference_moe_disable_fused_quant_kernels": false,
|
| 250 |
-
"inference_flashinfer_mxfp8_token_capacity": null,
|
| 251 |
-
"inference_moe_token_dispatcher_type": "nvls",
|
| 252 |
-
"mrope_section": null,
|
| 253 |
-
"is_hybrid_model": false,
|
| 254 |
-
"mamba_state_dim": 128,
|
| 255 |
-
"mamba_head_dim": 64,
|
| 256 |
-
"mamba_num_groups": 8,
|
| 257 |
-
"mamba_num_heads": null,
|
| 258 |
-
"gdp_num_householder": 3,
|
| 259 |
-
"use_mamba_mem_eff_path": true,
|
| 260 |
-
"gdp_cutedsl_kernel": false,
|
| 261 |
-
"gdp_num_chunk_states_to_recompute": 2,
|
| 262 |
-
"mlp_chunks_for_prefill": 1,
|
| 263 |
-
"mlp_chunks_for_training": 1,
|
| 264 |
-
"transformer_impl": "local",
|
| 265 |
-
"fine_grained_activation_offloading": false,
|
| 266 |
-
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| 1239 |
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| 1241 |
-
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| 1242 |
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| 1243 |
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| 1249 |
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| 1252 |
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| 1255 |
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| 1256 |
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|
| 1257 |
-
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|
| 1258 |
-
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|
| 1259 |
-
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|
| 1260 |
-
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| 1261 |
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|
| 1262 |
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|
| 1263 |
-
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|
| 1264 |
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|
| 1265 |
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|
| 1266 |
-
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|
| 1267 |
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|
| 1268 |
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| 1269 |
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|
| 1270 |
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|
| 1271 |
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19
|
| 1272 |
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|
| 1273 |
-
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|
| 1274 |
-
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|
| 1275 |
-
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| 1276 |
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| 1277 |
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| 1278 |
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| 1284 |
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| 1285 |
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|
| 1288 |
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| 1289 |
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|
| 1290 |
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|
| 1291 |
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| 1292 |
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| 1380 |
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| 1381 |
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| 1382 |
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| 1383 |
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},
|
| 1384 |
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| 1385 |
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| 1386 |
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|
| 1387 |
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|
| 1388 |
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"ifm_diagonal": {
|
| 1389 |
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"source": "raw_token_embeddings",
|
| 1390 |
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"placement": "before_both_depth_loops",
|
| 1391 |
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"shared_projection_and_gating": true
|
| 1392 |
-
},
|
| 1393 |
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"depth_share_kv": true,
|
| 1394 |
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"effective_launch_overrides": {
|
| 1395 |
-
"NNODES": 2,
|
| 1396 |
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"MICRO_BATCH_SIZE": 8,
|
| 1397 |
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"GLOBAL_BATCH_SIZE": 128,
|
| 1398 |
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"RUN_NAME": "loop_ifm_sharekv_7b_20260920-153012",
|
| 1399 |
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|
| 1400 |
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"SAVE_RETAIN_INTERVAL": 4000,
|
| 1401 |
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"ENABLE_RECOMPUTE": false,
|
| 1402 |
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"LOOP_ADAPTER_CHECKPOINT_REFINER": false
|
| 1403 |
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},
|
| 1404 |
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"tokenizer": {
|
| 1405 |
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"repository": "NousResearch/Llama-2-7b-hf",
|
| 1406 |
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|
| 1407 |
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"added_tokens": [
|
| 1408 |
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"<|assistant_end|>"
|
| 1409 |
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],
|
| 1410 |
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|
| 1411 |
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"padded_vocab_size": 32064
|
| 1412 |
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},
|
| 1413 |
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"loading": "Construct matching native Megatron model from model_arguments, restore non_tensor_state, load_state_dict(strict=True, assign=True). See README."
|
| 1414 |
-
}
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loop_ifm_sharekv_7b_20260920-153012/step_24000/launch_config.env
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
# IFM raw-token input injection before every depth loop; fresh 16-GPU arm.
|
| 2 |
-
source "$(dirname "${BASH_SOURCE[0]}")/476M_7b_FBW0_K3_L2_ADAPTER_SHARE_KV.env"
|
| 3 |
-
LOOP_INPUT_WRITE=ifm_diagonal
|
| 4 |
-
DEPTH_SHARE_KV=true
|
| 5 |
-
NNODES=2
|
| 6 |
-
MICRO_BATCH_SIZE=8
|
| 7 |
-
ENABLE_RECOMPUTE=false
|
| 8 |
-
LOOP_ADAPTER_CHECKPOINT_REFINER=false
|
| 9 |
-
SAVE_RETAIN_INTERVAL=4000
|
| 10 |
-
RUN_NAME=paper2604_loop2_476m_7b_fbw_k3_adapter_ifm_sharekv
|
| 11 |
-
WANDB_RUN_GROUP=loop2_adapter_ifm_476m_7b_FBW_K3
|
| 12 |
-
WANDB_TAGS=product,loop,loop2,paper2604,476m,7b,fullbandwidth,K3,lookahead_refiner,ifm_diagonal,sharekv
|
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loop_ifm_sharekv_7b_20260920-153012/step_24000/manifest.json
DELETED
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|
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| 24 |
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"note": "Manifest does not hash itself."
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| 25 |
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loop_ifm_sharekv_7b_20260920-153012/step_24000/model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:dad05a5a544259a3e41d069b609790a4d38d3c1c955c89eb8b40cb3a40433f01
|
| 3 |
-
size 1310894448
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|
|
loop_ifm_sharekv_7b_20260920-153012/step_24000/training_recipe.json
DELETED
|
@@ -1,163 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"recipe": "paper2604_21106",
|
| 3 |
-
"width": 1408,
|
| 4 |
-
"total_tokens": 7000031232,
|
| 5 |
-
"batch_tokens": 262144,
|
| 6 |
-
"reference_width": 640,
|
| 7 |
-
"reference_tokens": 983315200,
|
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-
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|
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-
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|
| 10 |
-
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| 11 |
-
"embedding": 0.3,
|
| 12 |
-
"unembedding": 0.004,
|
| 13 |
-
"norm": 0.005,
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| 14 |
-
"other": 0.005
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| 15 |
-
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| 16 |
-
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|
| 17 |
-
"matrix": 0.007470638533717786,
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| 18 |
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| 19 |
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| 20 |
-
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|
| 21 |
-
"other": 0.00337099931231621
|
| 22 |
-
},
|
| 23 |
-
"reference": "paper vanilla 0-20-0 at width 640; configurable token anchor",
|
| 24 |
-
"tied_embedding_policy": "unembedding (one AdamW update)",
|
| 25 |
-
"other_parameter_policy": "norm LR (extension for non-paper scalars/biases)",
|
| 26 |
-
"weight_decay": 0.0,
|
| 27 |
-
"warmup_steps": 0,
|
| 28 |
-
"final_lr_fraction": 0.1,
|
| 29 |
-
"optimizer": {
|
| 30 |
-
"name": "muonh",
|
| 31 |
-
"matrix_lr": 0.014,
|
| 32 |
-
"scalar_lr": null,
|
| 33 |
-
"matrix_weight_decay": 0.0,
|
| 34 |
-
"scalar_weight_decay": 0.0,
|
| 35 |
-
"embedding_lr": 0.3,
|
| 36 |
-
"unembedding_lr": 0.004,
|
| 37 |
-
"norm_lr": 0.005,
|
| 38 |
-
"other_lr": 0.005,
|
| 39 |
-
"betas": [
|
| 40 |
-
0.8,
|
| 41 |
-
0.95
|
| 42 |
-
],
|
| 43 |
-
"eps": 1e-10,
|
| 44 |
-
"normuon_momentum": 0.95,
|
| 45 |
-
"normuon_beta2": 0.95,
|
| 46 |
-
"normuon_nesterov": true,
|
| 47 |
-
"normuon_adjust_lr": "spectral_norm",
|
| 48 |
-
"max_grad_norm": null
|
| 49 |
-
},
|
| 50 |
-
"schedule": {
|
| 51 |
-
"kind": "linear",
|
| 52 |
-
"warmup_steps": 0,
|
| 53 |
-
"cooldown_fraction": 0.0,
|
| 54 |
-
"cooldown_style": "linear",
|
| 55 |
-
"final_lr_fraction": 0.1,
|
| 56 |
-
"z_loss_coefficient": 0.0,
|
| 57 |
-
"adamc_weight_decay": false
|
| 58 |
-
},
|
| 59 |
-
"group_weight_decay": {
|
| 60 |
-
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|
| 61 |
-
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|
| 62 |
-
"unembedding": 0.0,
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| 63 |
-
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|
| 64 |
-
"other": 0.0
|
| 65 |
-
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|
| 66 |
-
"recipe_overrides": {},
|
| 67 |
-
"requested_batch_tokens": 262144,
|
| 68 |
-
"sequence_length": 2048,
|
| 69 |
-
"batch_assumptions": {
|
| 70 |
-
"global_batch_tokens": 262144,
|
| 71 |
-
"sequence_length": 2048,
|
| 72 |
-
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|
| 73 |
-
},
|
| 74 |
-
"lr_transfer": "mup_hyperp_released_source",
|
| 75 |
-
"assumptions": [],
|
| 76 |
-
"backend_kernel_assumptions": {},
|
| 77 |
-
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|
| 78 |
-
"model": {
|
| 79 |
-
"backbone_profile": "paper2604_vanilla",
|
| 80 |
-
"source_commit": "122366472a31e57982a2877eeee10bb115477713",
|
| 81 |
-
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|
| 82 |
-
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|
| 83 |
-
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|
| 84 |
-
"head_dim": 128,
|
| 85 |
-
"num_attention_heads": 11,
|
| 86 |
-
"num_kv_heads": 11,
|
| 87 |
-
"ffn_hidden_size": 5632,
|
| 88 |
-
"activation": "squared_relu",
|
| 89 |
-
"attention": "full_causal",
|
| 90 |
-
"attention_output_gate": false,
|
| 91 |
-
"qk_norm": "functional_rmsnorm_after_rope",
|
| 92 |
-
"norm_epsilon": 1e-06,
|
| 93 |
-
"model_level_norms": [
|
| 94 |
-
"embedding",
|
| 95 |
-
"recur",
|
| 96 |
-
"final"
|
| 97 |
-
],
|
| 98 |
-
"rope_base": 10000.0,
|
| 99 |
-
"rope_convention": "split_half_negative_angle_bf16_cos_sin",
|
| 100 |
-
"bias": false,
|
| 101 |
-
"dropout": 0.0,
|
| 102 |
-
"residual_multiplier": 1.0,
|
| 103 |
-
"residual_and_norm_scale_dtype": "float32",
|
| 104 |
-
"projection_dtype": "bfloat16 (production)",
|
| 105 |
-
"tied_embeddings": false,
|
| 106 |
-
"vocab_size": 32001,
|
| 107 |
-
"padded_vocab_size": 32064,
|
| 108 |
-
"logit_softcap": 15.0,
|
| 109 |
-
"crop_padding_before_loss": true,
|
| 110 |
-
"initialization": {
|
| 111 |
-
"embedding_normal_std": 1.0,
|
| 112 |
-
"head_normal_std": 0.001,
|
| 113 |
-
"matrix_uniform_bound": "sqrt(3/fan_in)",
|
| 114 |
-
"norm_scale": 1.0
|
| 115 |
-
},
|
| 116 |
-
"parameter_counts": {
|
| 117 |
-
"non_embedding_matrix_formula": 475791360,
|
| 118 |
-
"non_embedding_paper_N": 475851904,
|
| 119 |
-
"total_trainable": 655369088,
|
| 120 |
-
"feedback_parameters": 3967744,
|
| 121 |
-
"loop_input_write_parameters": 1985280,
|
| 122 |
-
"loop_adapter_parameters": 83271936
|
| 123 |
-
},
|
| 124 |
-
"tokenizer_fidelity_note": "Released preprint/current code uses 32001 active tokens, padded to 32064; paper table reports 32008. Follow executable release; do not invent seven tokens.",
|
| 125 |
-
"execution_architecture": "full_bandwidth_loop",
|
| 126 |
-
"objective": "latent_feedback_causal_lm",
|
| 127 |
-
"feedback_enabled": true,
|
| 128 |
-
"train_passes": 3,
|
| 129 |
-
"eval_passes": 3,
|
| 130 |
-
"feedback_pass_mixture": {
|
| 131 |
-
"3": 1.0
|
| 132 |
-
},
|
| 133 |
-
"feedback_progressive_stages": [],
|
| 134 |
-
"depth_num_loops": 2,
|
| 135 |
-
"logical_layers_per_pass": 40,
|
| 136 |
-
"shared_layer_weights": true,
|
| 137 |
-
"depth_share_kv": true,
|
| 138 |
-
"depth_kv_policy": "first_loop_per_layer_connected",
|
| 139 |
-
"norm_placement": "embedding once; recur/final after loop 2 before three refiners; no post-refiner norm",
|
| 140 |
-
"loop_input_write": "ifm_diagonal",
|
| 141 |
-
"loop_input_write_source": "raw_token_embeddings",
|
| 142 |
-
"loop_input_write_placement": "before_every_depth_loop_after_initial_norm_emb",
|
| 143 |
-
"loop_input_write_sharing": "all_depth_loops_and_outer_feedback_passes",
|
| 144 |
-
"loop_input_write_init": "paper_matrix; a=b_delta=0; alpha=0.5; delta=log(2)",
|
| 145 |
-
"loop_final_adapter": "lookahead_refiner",
|
| 146 |
-
"loop_adapter": {
|
| 147 |
-
"ffn_size": 5632,
|
| 148 |
-
"state_input": "second-loop hidden states after norm_recur and norm_final",
|
| 149 |
-
"terminal_norms": true,
|
| 150 |
-
"attention_backend": "sdpa_auto",
|
| 151 |
-
"checkpoint_refiner": false,
|
| 152 |
-
"bank_layers": [
|
| 153 |
-
0,
|
| 154 |
-
10,
|
| 155 |
-
19
|
| 156 |
-
],
|
| 157 |
-
"bank_source": "first depth loop, fresh on each feedback pass",
|
| 158 |
-
"weight_sharing": "one adapter shared across feedback passes"
|
| 159 |
-
},
|
| 160 |
-
"block_application_multiplier_per_pass": 2.15,
|
| 161 |
-
"block_application_multiplier": 6.449999999999999
|
| 162 |
-
}
|
| 163 |
-
}
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loop_ifm_sharekv_7b_20260920-153012/step_26703/README.md
DELETED
|
@@ -1,50 +0,0 @@
|
|
| 1 |
-
# loop_ifm_sharekv_7b_20260920-153012 / step_26703
|
| 2 |
-
|
| 3 |
-
Native shared-KV full-bandwidth loop K3/L2 with IFM diagonal raw-embedding writes and a terminal adapter, 655,369,088 parameters. Checkpoint step 26703, consumed 7,000,031,232 input tokens. The full run finished at 26,703 steps with exit 0. Earlier checkpoints are intermediate weights; no final evaluation metric is asserted here.
|
| 4 |
-
|
| 5 |
-
Training snapshot source exactly matches https://github.com/FFishy-git/loopTF-workspace/tree/414cc438e67f921df1fcd218dcd738b88c83c2e1 (repository access may be required). The training revision is recorded in config.json; the saved code.diff is empty. Megatron-LM revision ed6ac270bacb6a4258e1c5b4a911bcf0fd3e4d9b; use the project's training dependencies. Export verification used Python 3.13.11 and torch 2.14.0+cu132.
|
| 6 |
-
|
| 7 |
-
Native safetensors weights only, not a Transformers AutoModel package or full training-resume bundle. Tensor names and mixed dtypes are preserved. Null Megatron extra-state entries are recorded explicitly in config.json. Optimizer/scheduler/RNG/dataloader state is excluded. The JSON model arguments are the effective saved settings; they override the base launch snapshot. K3 denotes three feedback passes, each with two shared-stack depth loops and terminal refiners. IFM injects raw token embeddings before both depth loops with shared projection/gating parameters. Loop2 reuses connected first-loop KV. Preserve all IFM tensors and settings when loading; a non-IFM model is incompatible.
|
| 8 |
-
|
| 9 |
-
## Native CPU loading
|
| 10 |
-
|
| 11 |
-
```python
|
| 12 |
-
import json, torch, importlib, tempfile
|
| 13 |
-
from argparse import Namespace
|
| 14 |
-
from megatron.core import parallel_state
|
| 15 |
-
from megatron.core.process_groups_config import ProcessGroupCollection
|
| 16 |
-
from full_bandwidth_loop_tf.megatron.config import build_model_config
|
| 17 |
-
from full_bandwidth_loop_tf.megatron.builder import LoopedFullBandwidthMegatronBuilder
|
| 18 |
-
from safetensors.torch import load_file
|
| 19 |
-
|
| 20 |
-
def decode(x):
|
| 21 |
-
if isinstance(x, dict):
|
| 22 |
-
if "__torch_dtype__" in x: return getattr(torch, x["__torch_dtype__"])
|
| 23 |
-
if "__dataclass__" in x:
|
| 24 |
-
module, cls, values = x["__dataclass__"]
|
| 25 |
-
return getattr(importlib.import_module(module), cls)(**decode(values))
|
| 26 |
-
if "__enum__" in x:
|
| 27 |
-
module, cls, member = x["__enum__"]
|
| 28 |
-
return getattr(importlib.import_module(module), cls)[member]
|
| 29 |
-
return {k: decode(v) for k, v in x.items()}
|
| 30 |
-
if isinstance(x, list): return [decode(v) for v in x]
|
| 31 |
-
return x
|
| 32 |
-
|
| 33 |
-
c = json.load(open("config.json"))
|
| 34 |
-
a = Namespace(**decode(c["model_arguments"]))
|
| 35 |
-
a.use_cpu_initialization = True
|
| 36 |
-
a.perform_initialization = False
|
| 37 |
-
cfg = build_model_config(a)
|
| 38 |
-
# Standalone CPU loading; use your existing groups in an initialized runtime.
|
| 39 |
-
with tempfile.TemporaryDirectory() as tmp:
|
| 40 |
-
torch.distributed.init_process_group("gloo", init_method="file://" + tmp + "/rdzv", rank=0, world_size=1)
|
| 41 |
-
parallel_state.initialize_model_parallel()
|
| 42 |
-
with torch.device("meta"):
|
| 43 |
-
model = LoopedFullBandwidthMegatronBuilder(cfg).build_model(ProcessGroupCollection.use_mpu_process_groups())
|
| 44 |
-
state = load_file("model.safetensors") | c["non_tensor_state"]
|
| 45 |
-
model.load_state_dict(state, strict=True, assign=True)
|
| 46 |
-
model.eval()
|
| 47 |
-
torch.distributed.destroy_process_group()
|
| 48 |
-
```
|
| 49 |
-
|
| 50 |
-
All exported tensor values/shapes/dtypes/names are exactly equal to the source, all finite, and strict native loading passed. manifest.json hashes every payload file except itself.
|
|
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_26703/config.json
DELETED
|
@@ -1,1431 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"checkpoint_format": "safetensors_native_megatron_state_dict",
|
| 3 |
-
"architecture": "full_bandwidth_loop",
|
| 4 |
-
"backbone_profile": "paper2604_vanilla",
|
| 5 |
-
"run_name": "loop_ifm_sharekv_7b_20260920-153012",
|
| 6 |
-
"iteration": 26703,
|
| 7 |
-
"checkpoint_version": 3.0,
|
| 8 |
-
"training_code_revision": "414cc438e67f921df1fcd218dcd738b88c83c2e1",
|
| 9 |
-
"training_base_revision": "414cc438e67f921df1fcd218dcd738b88c83c2e1",
|
| 10 |
-
"source_provenance": "Training used training_code_revision with an empty saved code.diff.",
|
| 11 |
-
"backbone_source_revision": "122366472a31e57982a2877eeee10bb115477713",
|
| 12 |
-
"parameter_counts": {
|
| 13 |
-
"total": 655369088,
|
| 14 |
-
"trainable": 655369088
|
| 15 |
-
},
|
| 16 |
-
"model_arguments": {
|
| 17 |
-
"tensor_model_parallel_size": 1,
|
| 18 |
-
"tensor_parallel_num_weight_shards": 1,
|
| 19 |
-
"pipeline_model_parallel_comm_backend": null,
|
| 20 |
-
"pipeline_model_parallel_size": 1,
|
| 21 |
-
"sequence_parallel": false,
|
| 22 |
-
"context_parallel_size": 1,
|
| 23 |
-
"hierarchical_context_parallel_sizes": null,
|
| 24 |
-
"expert_model_parallel_size": 1,
|
| 25 |
-
"expert_tensor_parallel_size": 1,
|
| 26 |
-
"expert_tensor_parallel_num_weight_shards": 1,
|
| 27 |
-
"perform_initialization": true,
|
| 28 |
-
"use_cpu_initialization": null,
|
| 29 |
-
"fp16": false,
|
| 30 |
-
"bf16": true,
|
| 31 |
-
"deterministic_mode": false,
|
| 32 |
-
"tp_comm_overlap": false,
|
| 33 |
-
"tp_comm_bulk_wgrad": true,
|
| 34 |
-
"tp_comm_bulk_dgrad": true,
|
| 35 |
-
"tp_comm_overlap_ag": true,
|
| 36 |
-
"tp_comm_overlap_rs": true,
|
| 37 |
-
"tp_comm_overlap_rs_dgrad": false,
|
| 38 |
-
"tp_comm_split_ag": true,
|
| 39 |
-
"tp_comm_split_rs": true,
|
| 40 |
-
"cross_entropy_loss_fusion": false,
|
| 41 |
-
"cross_entropy_fusion_impl": "native",
|
| 42 |
-
"tp_comm_bootstrap_backend": "nccl",
|
| 43 |
-
"overlap_moe_expert_parallel_comm": false,
|
| 44 |
-
"delay_wgrad_compute": false,
|
| 45 |
-
"overlap_dispatch_backward_with_experts_wgrad": false,
|
| 46 |
-
"ep_overlap_early_attn_memory_release": false,
|
| 47 |
-
"use_ring_exchange_p2p": false,
|
| 48 |
-
"defer_embedding_wgrad_compute": false,
|
| 49 |
-
"wgrad_deferral_limit": 0,
|
| 50 |
-
"overlap_p2p_comm_warmup_flush": false,
|
| 51 |
-
"microbatch_group_size_per_vp_stage": null,
|
| 52 |
-
"mtp_standalone": false,
|
| 53 |
-
"cpu_offloading_num_layers": 0,
|
| 54 |
-
"cpu_offloading_retain_pinned_cpu_buffers": false,
|
| 55 |
-
"num_layers": 20,
|
| 56 |
-
"mtp_num_layers": null,
|
| 57 |
-
"mtp_loss_scaling_factor": 0.1,
|
| 58 |
-
"mtp_use_repeated_layer": false,
|
| 59 |
-
"mtp_detach_heads": false,
|
| 60 |
-
"mtp_hsm": false,
|
| 61 |
-
"mtp_hybrid_override_pattern": null,
|
| 62 |
-
"account_for_embedding_in_pipeline_split": false,
|
| 63 |
-
"account_for_loss_in_pipeline_split": false,
|
| 64 |
-
"hidden_size": 1408,
|
| 65 |
-
"num_attention_heads": 11,
|
| 66 |
-
"attention_backend": {
|
| 67 |
-
"__enum__": [
|
| 68 |
-
"megatron.core.transformer.enums",
|
| 69 |
-
"AttnBackend",
|
| 70 |
-
"auto"
|
| 71 |
-
]
|
| 72 |
-
},
|
| 73 |
-
"flash_attention_version": null,
|
| 74 |
-
"softmax_type": "vanilla",
|
| 75 |
-
"num_query_groups": 11,
|
| 76 |
-
"ffn_hidden_size": 5632,
|
| 77 |
-
"kv_channels": 128,
|
| 78 |
-
"hidden_dropout": 0.0,
|
| 79 |
-
"attention_dropout": 0.0,
|
| 80 |
-
"fp32_residual_connection": false,
|
| 81 |
-
"apply_residual_connection_post_layernorm": false,
|
| 82 |
-
"layernorm_epsilon": 1e-06,
|
| 83 |
-
"layernorm_zero_centered_gamma": false,
|
| 84 |
-
"add_bias_linear": false,
|
| 85 |
-
"add_qkv_bias": false,
|
| 86 |
-
"glu_linear_offset": 0.0,
|
| 87 |
-
"activation_func_clamp_value": null,
|
| 88 |
-
"rotary_interleaved": false,
|
| 89 |
-
"normalization": "RMSNorm",
|
| 90 |
-
"qk_layernorm": false,
|
| 91 |
-
"qk_l2_norm": false,
|
| 92 |
-
"qk_clip": false,
|
| 93 |
-
"qk_clip_alpha": 0.5,
|
| 94 |
-
"qk_clip_threshold": 100,
|
| 95 |
-
"attention_output_gate": false,
|
| 96 |
-
"calculate_per_token_loss": false,
|
| 97 |
-
"multi_latent_attention": false,
|
| 98 |
-
"experimental_attention_variant": null,
|
| 99 |
-
"dsa_indexer_n_heads": null,
|
| 100 |
-
"dsa_indexer_head_dim": null,
|
| 101 |
-
"dsa_indexer_topk": null,
|
| 102 |
-
"dsa_indexer_topk_freq": 1,
|
| 103 |
-
"dsa_indexer_skip_topk_offset": 0,
|
| 104 |
-
"dsa_indexer_loss_coeff": null,
|
| 105 |
-
"dsa_indexer_use_sparse_loss": false,
|
| 106 |
-
"dsa_kernel_backend": "none",
|
| 107 |
-
"dsa_indexer_rope_interleaved": false,
|
| 108 |
-
"dsa_indexer_rotate_activation": true,
|
| 109 |
-
"dsa_indexer_scoring_relu": true,
|
| 110 |
-
"dsa_indexer_k_norm_epsilon": null,
|
| 111 |
-
"dsa_indexer_k_norm_fp32": false,
|
| 112 |
-
"csa_window_size": 128,
|
| 113 |
-
"csa_compress_ratios": null,
|
| 114 |
-
"csa_compress_rotary_base": 40000.0,
|
| 115 |
-
"csa_dense_mode": false,
|
| 116 |
-
"linear_conv_kernel_dim": 4,
|
| 117 |
-
"linear_key_head_dim": 128,
|
| 118 |
-
"linear_value_head_dim": 128,
|
| 119 |
-
"linear_num_key_heads": 16,
|
| 120 |
-
"linear_num_value_heads": 32,
|
| 121 |
-
"init_method_std": 0.02,
|
| 122 |
-
"embedding_init_method_std": null,
|
| 123 |
-
"init_model_with_meta_device": false,
|
| 124 |
-
"use_mup": false,
|
| 125 |
-
"mup_width_mult": 1.0,
|
| 126 |
-
"mup_base_hidden_size": null,
|
| 127 |
-
"mup_embedding_mult": 1.0,
|
| 128 |
-
"mup_output_mult": 1.0,
|
| 129 |
-
"mup_base_head_dim": null,
|
| 130 |
-
"mup_attn_scale_power": 1.0,
|
| 131 |
-
"apply_query_key_layer_scaling": false,
|
| 132 |
-
"disable_bf16_reduced_precision_matmul": false,
|
| 133 |
-
"use_fused_weighted_squared_relu": false,
|
| 134 |
-
"fused_residual_rmsnorm": false,
|
| 135 |
-
"use_transformer_engine_op_fuser": false,
|
| 136 |
-
"recompute_granularity": null,
|
| 137 |
-
"recompute_method": null,
|
| 138 |
-
"recompute_num_layers": null,
|
| 139 |
-
"distribute_saved_activations": false,
|
| 140 |
-
"recompute_modules": null,
|
| 141 |
-
"fp8": null,
|
| 142 |
-
"fp8_recipe": "delayed",
|
| 143 |
-
"fp8_quantizer_factory": null,
|
| 144 |
-
"fp8_margin": 0,
|
| 145 |
-
"fp8_interval": 1,
|
| 146 |
-
"fp8_amax_history_len": 1,
|
| 147 |
-
"fp8_amax_compute_algo": "most_recent",
|
| 148 |
-
"fp8_wgrad": true,
|
| 149 |
-
"fp8_output_proj": false,
|
| 150 |
-
"first_last_layers_bf16": false,
|
| 151 |
-
"num_layers_at_start_in_bf16": 1,
|
| 152 |
-
"num_layers_at_end_in_bf16": 1,
|
| 153 |
-
"use_kitchen_attention": false,
|
| 154 |
-
"kitchen_attention_backend": "sdpa",
|
| 155 |
-
"fp4": null,
|
| 156 |
-
"fp4_recipe": "nvfp4",
|
| 157 |
-
"fp4_quantizer_factory": null,
|
| 158 |
-
"high_priority_a2a_comm_stream": false,
|
| 159 |
-
"moe_shared_expert_intermediate_size": null,
|
| 160 |
-
"moe_shared_expert_gate": false,
|
| 161 |
-
"moe_shared_expert_overlap": false,
|
| 162 |
-
"use_grouped_gemm_for_shared_expert": false,
|
| 163 |
-
"moe_shared_expert_glu_interleave_size": null,
|
| 164 |
-
"moe_ffn_hidden_size": null,
|
| 165 |
-
"moe_router_topk": 2,
|
| 166 |
-
"moe_enable_routing_replay": false,
|
| 167 |
-
"moe_router_padding_for_quantization": false,
|
| 168 |
-
"moe_router_padding_for_fp8": false,
|
| 169 |
-
"moe_router_num_groups": null,
|
| 170 |
-
"moe_router_group_topk": null,
|
| 171 |
-
"moe_router_pre_softmax": false,
|
| 172 |
-
"moe_router_topk_scaling_factor": null,
|
| 173 |
-
"moe_router_score_function": "softmax",
|
| 174 |
-
"moe_router_dtype": null,
|
| 175 |
-
"moe_router_skip_muon": false,
|
| 176 |
-
"moe_router_enable_expert_bias": false,
|
| 177 |
-
"moe_router_bias_update_rate": 0.001,
|
| 178 |
-
"moe_router_quantile_balancing_ema": 0.0,
|
| 179 |
-
"moe_router_force_load_balancing": false,
|
| 180 |
-
"moe_router_force_biased": null,
|
| 181 |
-
"use_grouped_gemm_for_dense_mlp": false,
|
| 182 |
-
"moe_grouped_gemm": false,
|
| 183 |
-
"moe_use_grouped_tensor": false,
|
| 184 |
-
"moe_single_grouped_weight": false,
|
| 185 |
-
"moe_single_grouped_bias": false,
|
| 186 |
-
"moe_z_loss_coeff": null,
|
| 187 |
-
"moe_input_jitter_eps": null,
|
| 188 |
-
"moe_token_dispatcher_type": "allgather",
|
| 189 |
-
"moe_enable_deepep": false,
|
| 190 |
-
"moe_flex_dispatcher_backend": "deepep",
|
| 191 |
-
"moe_permute_fusion_into_hybridep": false,
|
| 192 |
-
"moe_hybridep_pad_uneven_dispatch_inputs": false,
|
| 193 |
-
"moe_per_layer_logging": false,
|
| 194 |
-
"moe_expert_capacity_factor": null,
|
| 195 |
-
"moe_pad_expert_input_to_capacity": false,
|
| 196 |
-
"moe_pad_experts_for_cuda_graph_inference": false,
|
| 197 |
-
"moe_token_drop_policy": "probs",
|
| 198 |
-
"moe_layer_recompute": false,
|
| 199 |
-
"moe_permute_fusion": false,
|
| 200 |
-
"moe_router_fusion": false,
|
| 201 |
-
"moe_apply_probs_on_input": false,
|
| 202 |
-
"moe_latent_size": null,
|
| 203 |
-
"moe_use_norm_before_up_proj": false,
|
| 204 |
-
"gtp_remat_opt_in_modules": [],
|
| 205 |
-
"moe_flex_dispatcher_num_sms": null,
|
| 206 |
-
"moe_deepep_num_sms": null,
|
| 207 |
-
"moe_hybridep_num_sms": null,
|
| 208 |
-
"moe_hybridep_num_blocks_permute": null,
|
| 209 |
-
"moe_hybridep_num_blocks_unpermute": null,
|
| 210 |
-
"moe_hybridep_num_sms_preprocessing": 108,
|
| 211 |
-
"moe_ncclep_zero_copy": false,
|
| 212 |
-
"moe_dispatch_fwd_dtype": "bf16",
|
| 213 |
-
"moe_combine_bwd_dtype": "bf16",
|
| 214 |
-
"moe_mlp_glu_interleave_size": null,
|
| 215 |
-
"moe_expert_rank_capacity_factor": null,
|
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loop_ifm_sharekv_7b_20260920-153012/step_26703/launch_config.env
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
# IFM raw-token input injection before every depth loop; fresh 16-GPU arm.
|
| 2 |
-
source "$(dirname "${BASH_SOURCE[0]}")/476M_7b_FBW0_K3_L2_ADAPTER_SHARE_KV.env"
|
| 3 |
-
LOOP_INPUT_WRITE=ifm_diagonal
|
| 4 |
-
DEPTH_SHARE_KV=true
|
| 5 |
-
NNODES=2
|
| 6 |
-
MICRO_BATCH_SIZE=8
|
| 7 |
-
ENABLE_RECOMPUTE=false
|
| 8 |
-
LOOP_ADAPTER_CHECKPOINT_REFINER=false
|
| 9 |
-
SAVE_RETAIN_INTERVAL=4000
|
| 10 |
-
RUN_NAME=paper2604_loop2_476m_7b_fbw_k3_adapter_ifm_sharekv
|
| 11 |
-
WANDB_RUN_GROUP=loop2_adapter_ifm_476m_7b_FBW_K3
|
| 12 |
-
WANDB_TAGS=product,loop,loop2,paper2604,476m,7b,fullbandwidth,K3,lookahead_refiner,ifm_diagonal,sharekv
|
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loop_ifm_sharekv_7b_20260920-153012/step_26703/manifest.json
DELETED
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loop_ifm_sharekv_7b_20260920-153012/step_26703/model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:8d961dacfd1cf67f11536a4eba6c73df8e822788b840fd99ed10d73330b5d976
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size 1310894448
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loop_ifm_sharekv_7b_20260920-153012/step_26703/training_recipe.json
DELETED
|
@@ -1,163 +0,0 @@
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|
| 1 |
-
{
|
| 2 |
-
"recipe": "paper2604_21106",
|
| 3 |
-
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-
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| 22 |
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| 23 |
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"reference": "paper vanilla 0-20-0 at width 640; configurable token anchor",
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| 24 |
-
"tied_embedding_policy": "unembedding (one AdamW update)",
|
| 25 |
-
"other_parameter_policy": "norm LR (extension for non-paper scalars/biases)",
|
| 26 |
-
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|
| 27 |
-
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|
| 28 |
-
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| 29 |
-
"optimizer": {
|
| 30 |
-
"name": "muonh",
|
| 31 |
-
"matrix_lr": 0.014,
|
| 32 |
-
"scalar_lr": null,
|
| 33 |
-
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|
| 34 |
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| 36 |
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| 37 |
-
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|
| 38 |
-
"other_lr": 0.005,
|
| 39 |
-
"betas": [
|
| 40 |
-
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|
| 41 |
-
0.95
|
| 42 |
-
],
|
| 43 |
-
"eps": 1e-10,
|
| 44 |
-
"normuon_momentum": 0.95,
|
| 45 |
-
"normuon_beta2": 0.95,
|
| 46 |
-
"normuon_nesterov": true,
|
| 47 |
-
"normuon_adjust_lr": "spectral_norm",
|
| 48 |
-
"max_grad_norm": null
|
| 49 |
-
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| 50 |
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"schedule": {
|
| 51 |
-
"kind": "linear",
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| 52 |
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"cooldown_fraction": 0.0,
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| 54 |
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| 55 |
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| 56 |
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"z_loss_coefficient": 0.0,
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| 57 |
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|
| 58 |
-
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| 59 |
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| 60 |
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| 65 |
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| 66 |
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"recipe_overrides": {},
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| 67 |
-
"requested_batch_tokens": 262144,
|
| 68 |
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|
| 69 |
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| 70 |
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| 72 |
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|
| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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|
| 78 |
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| 79 |
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| 80 |
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| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
-
"num_kv_heads": 11,
|
| 87 |
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"ffn_hidden_size": 5632,
|
| 88 |
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|
| 89 |
-
"attention": "full_causal",
|
| 90 |
-
"attention_output_gate": false,
|
| 91 |
-
"qk_norm": "functional_rmsnorm_after_rope",
|
| 92 |
-
"norm_epsilon": 1e-06,
|
| 93 |
-
"model_level_norms": [
|
| 94 |
-
"embedding",
|
| 95 |
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"recur",
|
| 96 |
-
"final"
|
| 97 |
-
],
|
| 98 |
-
"rope_base": 10000.0,
|
| 99 |
-
"rope_convention": "split_half_negative_angle_bf16_cos_sin",
|
| 100 |
-
"bias": false,
|
| 101 |
-
"dropout": 0.0,
|
| 102 |
-
"residual_multiplier": 1.0,
|
| 103 |
-
"residual_and_norm_scale_dtype": "float32",
|
| 104 |
-
"projection_dtype": "bfloat16 (production)",
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| 105 |
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"tied_embeddings": false,
|
| 106 |
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|
| 107 |
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"padded_vocab_size": 32064,
|
| 108 |
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"logit_softcap": 15.0,
|
| 109 |
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"crop_padding_before_loss": true,
|
| 110 |
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"initialization": {
|
| 111 |
-
"embedding_normal_std": 1.0,
|
| 112 |
-
"head_normal_std": 0.001,
|
| 113 |
-
"matrix_uniform_bound": "sqrt(3/fan_in)",
|
| 114 |
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"norm_scale": 1.0
|
| 115 |
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|
| 116 |
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"parameter_counts": {
|
| 117 |
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|
| 118 |
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|
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|
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| 122 |
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| 123 |
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|
| 124 |
-
"tokenizer_fidelity_note": "Released preprint/current code uses 32001 active tokens, padded to 32064; paper table reports 32008. Follow executable release; do not invent seven tokens.",
|
| 125 |
-
"execution_architecture": "full_bandwidth_loop",
|
| 126 |
-
"objective": "latent_feedback_causal_lm",
|
| 127 |
-
"feedback_enabled": true,
|
| 128 |
-
"train_passes": 3,
|
| 129 |
-
"eval_passes": 3,
|
| 130 |
-
"feedback_pass_mixture": {
|
| 131 |
-
"3": 1.0
|
| 132 |
-
},
|
| 133 |
-
"feedback_progressive_stages": [],
|
| 134 |
-
"depth_num_loops": 2,
|
| 135 |
-
"logical_layers_per_pass": 40,
|
| 136 |
-
"shared_layer_weights": true,
|
| 137 |
-
"depth_share_kv": true,
|
| 138 |
-
"depth_kv_policy": "first_loop_per_layer_connected",
|
| 139 |
-
"norm_placement": "embedding once; recur/final after loop 2 before three refiners; no post-refiner norm",
|
| 140 |
-
"loop_input_write": "ifm_diagonal",
|
| 141 |
-
"loop_input_write_source": "raw_token_embeddings",
|
| 142 |
-
"loop_input_write_placement": "before_every_depth_loop_after_initial_norm_emb",
|
| 143 |
-
"loop_input_write_sharing": "all_depth_loops_and_outer_feedback_passes",
|
| 144 |
-
"loop_input_write_init": "paper_matrix; a=b_delta=0; alpha=0.5; delta=log(2)",
|
| 145 |
-
"loop_final_adapter": "lookahead_refiner",
|
| 146 |
-
"loop_adapter": {
|
| 147 |
-
"ffn_size": 5632,
|
| 148 |
-
"state_input": "second-loop hidden states after norm_recur and norm_final",
|
| 149 |
-
"terminal_norms": true,
|
| 150 |
-
"attention_backend": "sdpa_auto",
|
| 151 |
-
"checkpoint_refiner": false,
|
| 152 |
-
"bank_layers": [
|
| 153 |
-
0,
|
| 154 |
-
10,
|
| 155 |
-
19
|
| 156 |
-
],
|
| 157 |
-
"bank_source": "first depth loop, fresh on each feedback pass",
|
| 158 |
-
"weight_sharing": "one adapter shared across feedback passes"
|
| 159 |
-
},
|
| 160 |
-
"block_application_multiplier_per_pass": 2.15,
|
| 161 |
-
"block_application_multiplier": 6.449999999999999
|
| 162 |
-
}
|
| 163 |
-
}
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_4000/README.md
DELETED
|
@@ -1,50 +0,0 @@
|
|
| 1 |
-
# loop_ifm_sharekv_7b_20260920-153012 / step_4000
|
| 2 |
-
|
| 3 |
-
Native shared-KV full-bandwidth loop K3/L2 with IFM diagonal raw-embedding writes and a terminal adapter, 655,369,088 parameters. Checkpoint step 4000, consumed 1,048,576,000 input tokens. The full run finished at 26,703 steps with exit 0. Earlier checkpoints are intermediate weights; no final evaluation metric is asserted here.
|
| 4 |
-
|
| 5 |
-
Training snapshot source exactly matches https://github.com/FFishy-git/loopTF-workspace/tree/414cc438e67f921df1fcd218dcd738b88c83c2e1 (repository access may be required). The training revision is recorded in config.json; the saved code.diff is empty. Megatron-LM revision ed6ac270bacb6a4258e1c5b4a911bcf0fd3e4d9b; use the project's training dependencies. Export verification used Python 3.13.11 and torch 2.14.0+cu132.
|
| 6 |
-
|
| 7 |
-
Native safetensors weights only, not a Transformers AutoModel package or full training-resume bundle. Tensor names and mixed dtypes are preserved. Null Megatron extra-state entries are recorded explicitly in config.json. Optimizer/scheduler/RNG/dataloader state is excluded. The JSON model arguments are the effective saved settings; they override the base launch snapshot. K3 denotes three feedback passes, each with two shared-stack depth loops and terminal refiners. IFM injects raw token embeddings before both depth loops with shared projection/gating parameters. Loop2 reuses connected first-loop KV. Preserve all IFM tensors and settings when loading; a non-IFM model is incompatible.
|
| 8 |
-
|
| 9 |
-
## Native CPU loading
|
| 10 |
-
|
| 11 |
-
```python
|
| 12 |
-
import json, torch, importlib, tempfile
|
| 13 |
-
from argparse import Namespace
|
| 14 |
-
from megatron.core import parallel_state
|
| 15 |
-
from megatron.core.process_groups_config import ProcessGroupCollection
|
| 16 |
-
from full_bandwidth_loop_tf.megatron.config import build_model_config
|
| 17 |
-
from full_bandwidth_loop_tf.megatron.builder import LoopedFullBandwidthMegatronBuilder
|
| 18 |
-
from safetensors.torch import load_file
|
| 19 |
-
|
| 20 |
-
def decode(x):
|
| 21 |
-
if isinstance(x, dict):
|
| 22 |
-
if "__torch_dtype__" in x: return getattr(torch, x["__torch_dtype__"])
|
| 23 |
-
if "__dataclass__" in x:
|
| 24 |
-
module, cls, values = x["__dataclass__"]
|
| 25 |
-
return getattr(importlib.import_module(module), cls)(**decode(values))
|
| 26 |
-
if "__enum__" in x:
|
| 27 |
-
module, cls, member = x["__enum__"]
|
| 28 |
-
return getattr(importlib.import_module(module), cls)[member]
|
| 29 |
-
return {k: decode(v) for k, v in x.items()}
|
| 30 |
-
if isinstance(x, list): return [decode(v) for v in x]
|
| 31 |
-
return x
|
| 32 |
-
|
| 33 |
-
c = json.load(open("config.json"))
|
| 34 |
-
a = Namespace(**decode(c["model_arguments"]))
|
| 35 |
-
a.use_cpu_initialization = True
|
| 36 |
-
a.perform_initialization = False
|
| 37 |
-
cfg = build_model_config(a)
|
| 38 |
-
# Standalone CPU loading; use your existing groups in an initialized runtime.
|
| 39 |
-
with tempfile.TemporaryDirectory() as tmp:
|
| 40 |
-
torch.distributed.init_process_group("gloo", init_method="file://" + tmp + "/rdzv", rank=0, world_size=1)
|
| 41 |
-
parallel_state.initialize_model_parallel()
|
| 42 |
-
with torch.device("meta"):
|
| 43 |
-
model = LoopedFullBandwidthMegatronBuilder(cfg).build_model(ProcessGroupCollection.use_mpu_process_groups())
|
| 44 |
-
state = load_file("model.safetensors") | c["non_tensor_state"]
|
| 45 |
-
model.load_state_dict(state, strict=True, assign=True)
|
| 46 |
-
model.eval()
|
| 47 |
-
torch.distributed.destroy_process_group()
|
| 48 |
-
```
|
| 49 |
-
|
| 50 |
-
All exported tensor values/shapes/dtypes/names are exactly equal to the source, all finite, and strict native loading passed. manifest.json hashes every payload file except itself.
|
|
|
|
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_4000/config.json
DELETED
|
@@ -1,1414 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"checkpoint_format": "safetensors_native_megatron_state_dict",
|
| 3 |
-
"architecture": "full_bandwidth_loop",
|
| 4 |
-
"backbone_profile": "paper2604_vanilla",
|
| 5 |
-
"run_name": "loop_ifm_sharekv_7b_20260920-153012",
|
| 6 |
-
"iteration": 4000,
|
| 7 |
-
"checkpoint_version": 3.0,
|
| 8 |
-
"training_code_revision": "414cc438e67f921df1fcd218dcd738b88c83c2e1",
|
| 9 |
-
"training_base_revision": "414cc438e67f921df1fcd218dcd738b88c83c2e1",
|
| 10 |
-
"source_provenance": "Training used training_code_revision with an empty saved code.diff.",
|
| 11 |
-
"backbone_source_revision": "122366472a31e57982a2877eeee10bb115477713",
|
| 12 |
-
"parameter_counts": {
|
| 13 |
-
"total": 655369088,
|
| 14 |
-
"trainable": 655369088
|
| 15 |
-
},
|
| 16 |
-
"model_arguments": {
|
| 17 |
-
"tensor_model_parallel_size": 1,
|
| 18 |
-
"tensor_parallel_num_weight_shards": 1,
|
| 19 |
-
"pipeline_model_parallel_comm_backend": null,
|
| 20 |
-
"pipeline_model_parallel_size": 1,
|
| 21 |
-
"sequence_parallel": false,
|
| 22 |
-
"context_parallel_size": 1,
|
| 23 |
-
"hierarchical_context_parallel_sizes": null,
|
| 24 |
-
"expert_model_parallel_size": 1,
|
| 25 |
-
"expert_tensor_parallel_size": 1,
|
| 26 |
-
"expert_tensor_parallel_num_weight_shards": 1,
|
| 27 |
-
"perform_initialization": true,
|
| 28 |
-
"use_cpu_initialization": null,
|
| 29 |
-
"fp16": false,
|
| 30 |
-
"bf16": true,
|
| 31 |
-
"deterministic_mode": false,
|
| 32 |
-
"tp_comm_overlap": false,
|
| 33 |
-
"tp_comm_bulk_wgrad": true,
|
| 34 |
-
"tp_comm_bulk_dgrad": true,
|
| 35 |
-
"tp_comm_overlap_ag": true,
|
| 36 |
-
"tp_comm_overlap_rs": true,
|
| 37 |
-
"tp_comm_overlap_rs_dgrad": false,
|
| 38 |
-
"tp_comm_split_ag": true,
|
| 39 |
-
"tp_comm_split_rs": true,
|
| 40 |
-
"cross_entropy_loss_fusion": false,
|
| 41 |
-
"cross_entropy_fusion_impl": "native",
|
| 42 |
-
"tp_comm_bootstrap_backend": "nccl",
|
| 43 |
-
"overlap_moe_expert_parallel_comm": false,
|
| 44 |
-
"delay_wgrad_compute": false,
|
| 45 |
-
"overlap_dispatch_backward_with_experts_wgrad": false,
|
| 46 |
-
"ep_overlap_early_attn_memory_release": false,
|
| 47 |
-
"use_ring_exchange_p2p": false,
|
| 48 |
-
"defer_embedding_wgrad_compute": false,
|
| 49 |
-
"wgrad_deferral_limit": 0,
|
| 50 |
-
"overlap_p2p_comm_warmup_flush": false,
|
| 51 |
-
"microbatch_group_size_per_vp_stage": null,
|
| 52 |
-
"mtp_standalone": false,
|
| 53 |
-
"cpu_offloading_num_layers": 0,
|
| 54 |
-
"cpu_offloading_retain_pinned_cpu_buffers": false,
|
| 55 |
-
"num_layers": 20,
|
| 56 |
-
"mtp_num_layers": null,
|
| 57 |
-
"mtp_loss_scaling_factor": 0.1,
|
| 58 |
-
"mtp_use_repeated_layer": false,
|
| 59 |
-
"mtp_detach_heads": false,
|
| 60 |
-
"mtp_hsm": false,
|
| 61 |
-
"mtp_hybrid_override_pattern": null,
|
| 62 |
-
"account_for_embedding_in_pipeline_split": false,
|
| 63 |
-
"account_for_loss_in_pipeline_split": false,
|
| 64 |
-
"hidden_size": 1408,
|
| 65 |
-
"num_attention_heads": 11,
|
| 66 |
-
"attention_backend": {
|
| 67 |
-
"__enum__": [
|
| 68 |
-
"megatron.core.transformer.enums",
|
| 69 |
-
"AttnBackend",
|
| 70 |
-
"auto"
|
| 71 |
-
]
|
| 72 |
-
},
|
| 73 |
-
"flash_attention_version": null,
|
| 74 |
-
"softmax_type": "vanilla",
|
| 75 |
-
"num_query_groups": 11,
|
| 76 |
-
"ffn_hidden_size": 5632,
|
| 77 |
-
"kv_channels": 128,
|
| 78 |
-
"hidden_dropout": 0.0,
|
| 79 |
-
"attention_dropout": 0.0,
|
| 80 |
-
"fp32_residual_connection": false,
|
| 81 |
-
"apply_residual_connection_post_layernorm": false,
|
| 82 |
-
"layernorm_epsilon": 1e-06,
|
| 83 |
-
"layernorm_zero_centered_gamma": false,
|
| 84 |
-
"add_bias_linear": false,
|
| 85 |
-
"add_qkv_bias": false,
|
| 86 |
-
"glu_linear_offset": 0.0,
|
| 87 |
-
"activation_func_clamp_value": null,
|
| 88 |
-
"rotary_interleaved": false,
|
| 89 |
-
"normalization": "RMSNorm",
|
| 90 |
-
"qk_layernorm": false,
|
| 91 |
-
"qk_l2_norm": false,
|
| 92 |
-
"qk_clip": false,
|
| 93 |
-
"qk_clip_alpha": 0.5,
|
| 94 |
-
"qk_clip_threshold": 100,
|
| 95 |
-
"attention_output_gate": false,
|
| 96 |
-
"calculate_per_token_loss": false,
|
| 97 |
-
"multi_latent_attention": false,
|
| 98 |
-
"experimental_attention_variant": null,
|
| 99 |
-
"dsa_indexer_n_heads": null,
|
| 100 |
-
"dsa_indexer_head_dim": null,
|
| 101 |
-
"dsa_indexer_topk": null,
|
| 102 |
-
"dsa_indexer_topk_freq": 1,
|
| 103 |
-
"dsa_indexer_skip_topk_offset": 0,
|
| 104 |
-
"dsa_indexer_loss_coeff": null,
|
| 105 |
-
"dsa_indexer_use_sparse_loss": false,
|
| 106 |
-
"dsa_kernel_backend": "none",
|
| 107 |
-
"dsa_indexer_rope_interleaved": false,
|
| 108 |
-
"dsa_indexer_rotate_activation": true,
|
| 109 |
-
"dsa_indexer_scoring_relu": true,
|
| 110 |
-
"dsa_indexer_k_norm_epsilon": null,
|
| 111 |
-
"dsa_indexer_k_norm_fp32": false,
|
| 112 |
-
"csa_window_size": 128,
|
| 113 |
-
"csa_compress_ratios": null,
|
| 114 |
-
"csa_compress_rotary_base": 40000.0,
|
| 115 |
-
"csa_dense_mode": false,
|
| 116 |
-
"linear_conv_kernel_dim": 4,
|
| 117 |
-
"linear_key_head_dim": 128,
|
| 118 |
-
"linear_value_head_dim": 128,
|
| 119 |
-
"linear_num_key_heads": 16,
|
| 120 |
-
"linear_num_value_heads": 32,
|
| 121 |
-
"init_method_std": 0.02,
|
| 122 |
-
"embedding_init_method_std": null,
|
| 123 |
-
"init_model_with_meta_device": false,
|
| 124 |
-
"use_mup": false,
|
| 125 |
-
"mup_width_mult": 1.0,
|
| 126 |
-
"mup_base_hidden_size": null,
|
| 127 |
-
"mup_embedding_mult": 1.0,
|
| 128 |
-
"mup_output_mult": 1.0,
|
| 129 |
-
"mup_base_head_dim": null,
|
| 130 |
-
"mup_attn_scale_power": 1.0,
|
| 131 |
-
"apply_query_key_layer_scaling": false,
|
| 132 |
-
"disable_bf16_reduced_precision_matmul": false,
|
| 133 |
-
"use_fused_weighted_squared_relu": false,
|
| 134 |
-
"fused_residual_rmsnorm": false,
|
| 135 |
-
"use_transformer_engine_op_fuser": false,
|
| 136 |
-
"recompute_granularity": null,
|
| 137 |
-
"recompute_method": null,
|
| 138 |
-
"recompute_num_layers": null,
|
| 139 |
-
"distribute_saved_activations": false,
|
| 140 |
-
"recompute_modules": null,
|
| 141 |
-
"fp8": null,
|
| 142 |
-
"fp8_recipe": "delayed",
|
| 143 |
-
"fp8_quantizer_factory": null,
|
| 144 |
-
"fp8_margin": 0,
|
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| 1400 |
-
"SAVE_RETAIN_INTERVAL": 4000,
|
| 1401 |
-
"ENABLE_RECOMPUTE": false,
|
| 1402 |
-
"LOOP_ADAPTER_CHECKPOINT_REFINER": false
|
| 1403 |
-
},
|
| 1404 |
-
"tokenizer": {
|
| 1405 |
-
"repository": "NousResearch/Llama-2-7b-hf",
|
| 1406 |
-
"revision": "8efe6c9b93655b934e27bd9981e3ec13e55aee9d",
|
| 1407 |
-
"added_tokens": [
|
| 1408 |
-
"<|assistant_end|>"
|
| 1409 |
-
],
|
| 1410 |
-
"active_vocab_size": 32001,
|
| 1411 |
-
"padded_vocab_size": 32064
|
| 1412 |
-
},
|
| 1413 |
-
"loading": "Construct matching native Megatron model from model_arguments, restore non_tensor_state, load_state_dict(strict=True, assign=True). See README."
|
| 1414 |
-
}
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|
loop_ifm_sharekv_7b_20260920-153012/step_4000/launch_config.env
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
# IFM raw-token input injection before every depth loop; fresh 16-GPU arm.
|
| 2 |
-
source "$(dirname "${BASH_SOURCE[0]}")/476M_7b_FBW0_K3_L2_ADAPTER_SHARE_KV.env"
|
| 3 |
-
LOOP_INPUT_WRITE=ifm_diagonal
|
| 4 |
-
DEPTH_SHARE_KV=true
|
| 5 |
-
NNODES=2
|
| 6 |
-
MICRO_BATCH_SIZE=8
|
| 7 |
-
ENABLE_RECOMPUTE=false
|
| 8 |
-
LOOP_ADAPTER_CHECKPOINT_REFINER=false
|
| 9 |
-
SAVE_RETAIN_INTERVAL=4000
|
| 10 |
-
RUN_NAME=paper2604_loop2_476m_7b_fbw_k3_adapter_ifm_sharekv
|
| 11 |
-
WANDB_RUN_GROUP=loop2_adapter_ifm_476m_7b_FBW_K3
|
| 12 |
-
WANDB_TAGS=product,loop,loop2,paper2604,476m,7b,fullbandwidth,K3,lookahead_refiner,ifm_diagonal,sharekv
|
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_4000/manifest.json
DELETED
|
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},
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"note": "Manifest does not hash itself."
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|
loop_ifm_sharekv_7b_20260920-153012/step_4000/model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:f0c51d09d782f0b8b10451a6f6f85de49ca4baa7ae0777f84de5955d0ba01d0a
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size 1310894448
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|
loop_ifm_sharekv_7b_20260920-153012/step_4000/training_recipe.json
DELETED
|
@@ -1,163 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"recipe": "paper2604_21106",
|
| 3 |
-
"width": 1408,
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| 4 |
-
"total_tokens": 7000031232,
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| 5 |
-
"batch_tokens": 262144,
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"reference_tokens": 983315200,
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| 10 |
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"unembedding": 0.004,
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"other": 0.005
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| 15 |
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| 17 |
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| 20 |
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| 21 |
-
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|
| 22 |
-
},
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| 23 |
-
"reference": "paper vanilla 0-20-0 at width 640; configurable token anchor",
|
| 24 |
-
"tied_embedding_policy": "unembedding (one AdamW update)",
|
| 25 |
-
"other_parameter_policy": "norm LR (extension for non-paper scalars/biases)",
|
| 26 |
-
"weight_decay": 0.0,
|
| 27 |
-
"warmup_steps": 0,
|
| 28 |
-
"final_lr_fraction": 0.1,
|
| 29 |
-
"optimizer": {
|
| 30 |
-
"name": "muonh",
|
| 31 |
-
"matrix_lr": 0.014,
|
| 32 |
-
"scalar_lr": null,
|
| 33 |
-
"matrix_weight_decay": 0.0,
|
| 34 |
-
"scalar_weight_decay": 0.0,
|
| 35 |
-
"embedding_lr": 0.3,
|
| 36 |
-
"unembedding_lr": 0.004,
|
| 37 |
-
"norm_lr": 0.005,
|
| 38 |
-
"other_lr": 0.005,
|
| 39 |
-
"betas": [
|
| 40 |
-
0.8,
|
| 41 |
-
0.95
|
| 42 |
-
],
|
| 43 |
-
"eps": 1e-10,
|
| 44 |
-
"normuon_momentum": 0.95,
|
| 45 |
-
"normuon_beta2": 0.95,
|
| 46 |
-
"normuon_nesterov": true,
|
| 47 |
-
"normuon_adjust_lr": "spectral_norm",
|
| 48 |
-
"max_grad_norm": null
|
| 49 |
-
},
|
| 50 |
-
"schedule": {
|
| 51 |
-
"kind": "linear",
|
| 52 |
-
"warmup_steps": 0,
|
| 53 |
-
"cooldown_fraction": 0.0,
|
| 54 |
-
"cooldown_style": "linear",
|
| 55 |
-
"final_lr_fraction": 0.1,
|
| 56 |
-
"z_loss_coefficient": 0.0,
|
| 57 |
-
"adamc_weight_decay": false
|
| 58 |
-
},
|
| 59 |
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"group_weight_decay": {
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| 60 |
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"matrix": 0.0,
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"embedding": 0.0,
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"unembedding": 0.0,
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| 63 |
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"other": 0.0
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| 65 |
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},
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| 66 |
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"recipe_overrides": {},
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| 67 |
-
"requested_batch_tokens": 262144,
|
| 68 |
-
"sequence_length": 2048,
|
| 69 |
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"batch_assumptions": {
|
| 70 |
-
"global_batch_tokens": 262144,
|
| 71 |
-
"sequence_length": 2048,
|
| 72 |
-
"round_up": false
|
| 73 |
-
},
|
| 74 |
-
"lr_transfer": "mup_hyperp_released_source",
|
| 75 |
-
"assumptions": [],
|
| 76 |
-
"backend_kernel_assumptions": {},
|
| 77 |
-
"paper_settings_overridden": false,
|
| 78 |
-
"model": {
|
| 79 |
-
"backbone_profile": "paper2604_vanilla",
|
| 80 |
-
"source_commit": "122366472a31e57982a2877eeee10bb115477713",
|
| 81 |
-
"width_scale": 22,
|
| 82 |
-
"hidden_size": 1408,
|
| 83 |
-
"num_layers": 20,
|
| 84 |
-
"head_dim": 128,
|
| 85 |
-
"num_attention_heads": 11,
|
| 86 |
-
"num_kv_heads": 11,
|
| 87 |
-
"ffn_hidden_size": 5632,
|
| 88 |
-
"activation": "squared_relu",
|
| 89 |
-
"attention": "full_causal",
|
| 90 |
-
"attention_output_gate": false,
|
| 91 |
-
"qk_norm": "functional_rmsnorm_after_rope",
|
| 92 |
-
"norm_epsilon": 1e-06,
|
| 93 |
-
"model_level_norms": [
|
| 94 |
-
"embedding",
|
| 95 |
-
"recur",
|
| 96 |
-
"final"
|
| 97 |
-
],
|
| 98 |
-
"rope_base": 10000.0,
|
| 99 |
-
"rope_convention": "split_half_negative_angle_bf16_cos_sin",
|
| 100 |
-
"bias": false,
|
| 101 |
-
"dropout": 0.0,
|
| 102 |
-
"residual_multiplier": 1.0,
|
| 103 |
-
"residual_and_norm_scale_dtype": "float32",
|
| 104 |
-
"projection_dtype": "bfloat16 (production)",
|
| 105 |
-
"tied_embeddings": false,
|
| 106 |
-
"vocab_size": 32001,
|
| 107 |
-
"padded_vocab_size": 32064,
|
| 108 |
-
"logit_softcap": 15.0,
|
| 109 |
-
"crop_padding_before_loss": true,
|
| 110 |
-
"initialization": {
|
| 111 |
-
"embedding_normal_std": 1.0,
|
| 112 |
-
"head_normal_std": 0.001,
|
| 113 |
-
"matrix_uniform_bound": "sqrt(3/fan_in)",
|
| 114 |
-
"norm_scale": 1.0
|
| 115 |
-
},
|
| 116 |
-
"parameter_counts": {
|
| 117 |
-
"non_embedding_matrix_formula": 475791360,
|
| 118 |
-
"non_embedding_paper_N": 475851904,
|
| 119 |
-
"total_trainable": 655369088,
|
| 120 |
-
"feedback_parameters": 3967744,
|
| 121 |
-
"loop_input_write_parameters": 1985280,
|
| 122 |
-
"loop_adapter_parameters": 83271936
|
| 123 |
-
},
|
| 124 |
-
"tokenizer_fidelity_note": "Released preprint/current code uses 32001 active tokens, padded to 32064; paper table reports 32008. Follow executable release; do not invent seven tokens.",
|
| 125 |
-
"execution_architecture": "full_bandwidth_loop",
|
| 126 |
-
"objective": "latent_feedback_causal_lm",
|
| 127 |
-
"feedback_enabled": true,
|
| 128 |
-
"train_passes": 3,
|
| 129 |
-
"eval_passes": 3,
|
| 130 |
-
"feedback_pass_mixture": {
|
| 131 |
-
"3": 1.0
|
| 132 |
-
},
|
| 133 |
-
"feedback_progressive_stages": [],
|
| 134 |
-
"depth_num_loops": 2,
|
| 135 |
-
"logical_layers_per_pass": 40,
|
| 136 |
-
"shared_layer_weights": true,
|
| 137 |
-
"depth_share_kv": true,
|
| 138 |
-
"depth_kv_policy": "first_loop_per_layer_connected",
|
| 139 |
-
"norm_placement": "embedding once; recur/final after loop 2 before three refiners; no post-refiner norm",
|
| 140 |
-
"loop_input_write": "ifm_diagonal",
|
| 141 |
-
"loop_input_write_source": "raw_token_embeddings",
|
| 142 |
-
"loop_input_write_placement": "before_every_depth_loop_after_initial_norm_emb",
|
| 143 |
-
"loop_input_write_sharing": "all_depth_loops_and_outer_feedback_passes",
|
| 144 |
-
"loop_input_write_init": "paper_matrix; a=b_delta=0; alpha=0.5; delta=log(2)",
|
| 145 |
-
"loop_final_adapter": "lookahead_refiner",
|
| 146 |
-
"loop_adapter": {
|
| 147 |
-
"ffn_size": 5632,
|
| 148 |
-
"state_input": "second-loop hidden states after norm_recur and norm_final",
|
| 149 |
-
"terminal_norms": true,
|
| 150 |
-
"attention_backend": "sdpa_auto",
|
| 151 |
-
"checkpoint_refiner": false,
|
| 152 |
-
"bank_layers": [
|
| 153 |
-
0,
|
| 154 |
-
10,
|
| 155 |
-
19
|
| 156 |
-
],
|
| 157 |
-
"bank_source": "first depth loop, fresh on each feedback pass",
|
| 158 |
-
"weight_sharing": "one adapter shared across feedback passes"
|
| 159 |
-
},
|
| 160 |
-
"block_application_multiplier_per_pass": 2.15,
|
| 161 |
-
"block_application_multiplier": 6.449999999999999
|
| 162 |
-
}
|
| 163 |
-
}
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_8000/README.md
DELETED
|
@@ -1,50 +0,0 @@
|
|
| 1 |
-
# loop_ifm_sharekv_7b_20260920-153012 / step_8000
|
| 2 |
-
|
| 3 |
-
Native shared-KV full-bandwidth loop K3/L2 with IFM diagonal raw-embedding writes and a terminal adapter, 655,369,088 parameters. Checkpoint step 8000, consumed 2,097,152,000 input tokens. The full run finished at 26,703 steps with exit 0. Earlier checkpoints are intermediate weights; no final evaluation metric is asserted here.
|
| 4 |
-
|
| 5 |
-
Training snapshot source exactly matches https://github.com/FFishy-git/loopTF-workspace/tree/414cc438e67f921df1fcd218dcd738b88c83c2e1 (repository access may be required). The training revision is recorded in config.json; the saved code.diff is empty. Megatron-LM revision ed6ac270bacb6a4258e1c5b4a911bcf0fd3e4d9b; use the project's training dependencies. Export verification used Python 3.13.11 and torch 2.14.0+cu132.
|
| 6 |
-
|
| 7 |
-
Native safetensors weights only, not a Transformers AutoModel package or full training-resume bundle. Tensor names and mixed dtypes are preserved. Null Megatron extra-state entries are recorded explicitly in config.json. Optimizer/scheduler/RNG/dataloader state is excluded. The JSON model arguments are the effective saved settings; they override the base launch snapshot. K3 denotes three feedback passes, each with two shared-stack depth loops and terminal refiners. IFM injects raw token embeddings before both depth loops with shared projection/gating parameters. Loop2 reuses connected first-loop KV. Preserve all IFM tensors and settings when loading; a non-IFM model is incompatible.
|
| 8 |
-
|
| 9 |
-
## Native CPU loading
|
| 10 |
-
|
| 11 |
-
```python
|
| 12 |
-
import json, torch, importlib, tempfile
|
| 13 |
-
from argparse import Namespace
|
| 14 |
-
from megatron.core import parallel_state
|
| 15 |
-
from megatron.core.process_groups_config import ProcessGroupCollection
|
| 16 |
-
from full_bandwidth_loop_tf.megatron.config import build_model_config
|
| 17 |
-
from full_bandwidth_loop_tf.megatron.builder import LoopedFullBandwidthMegatronBuilder
|
| 18 |
-
from safetensors.torch import load_file
|
| 19 |
-
|
| 20 |
-
def decode(x):
|
| 21 |
-
if isinstance(x, dict):
|
| 22 |
-
if "__torch_dtype__" in x: return getattr(torch, x["__torch_dtype__"])
|
| 23 |
-
if "__dataclass__" in x:
|
| 24 |
-
module, cls, values = x["__dataclass__"]
|
| 25 |
-
return getattr(importlib.import_module(module), cls)(**decode(values))
|
| 26 |
-
if "__enum__" in x:
|
| 27 |
-
module, cls, member = x["__enum__"]
|
| 28 |
-
return getattr(importlib.import_module(module), cls)[member]
|
| 29 |
-
return {k: decode(v) for k, v in x.items()}
|
| 30 |
-
if isinstance(x, list): return [decode(v) for v in x]
|
| 31 |
-
return x
|
| 32 |
-
|
| 33 |
-
c = json.load(open("config.json"))
|
| 34 |
-
a = Namespace(**decode(c["model_arguments"]))
|
| 35 |
-
a.use_cpu_initialization = True
|
| 36 |
-
a.perform_initialization = False
|
| 37 |
-
cfg = build_model_config(a)
|
| 38 |
-
# Standalone CPU loading; use your existing groups in an initialized runtime.
|
| 39 |
-
with tempfile.TemporaryDirectory() as tmp:
|
| 40 |
-
torch.distributed.init_process_group("gloo", init_method="file://" + tmp + "/rdzv", rank=0, world_size=1)
|
| 41 |
-
parallel_state.initialize_model_parallel()
|
| 42 |
-
with torch.device("meta"):
|
| 43 |
-
model = LoopedFullBandwidthMegatronBuilder(cfg).build_model(ProcessGroupCollection.use_mpu_process_groups())
|
| 44 |
-
state = load_file("model.safetensors") | c["non_tensor_state"]
|
| 45 |
-
model.load_state_dict(state, strict=True, assign=True)
|
| 46 |
-
model.eval()
|
| 47 |
-
torch.distributed.destroy_process_group()
|
| 48 |
-
```
|
| 49 |
-
|
| 50 |
-
All exported tensor values/shapes/dtypes/names are exactly equal to the source, all finite, and strict native loading passed. manifest.json hashes every payload file except itself.
|
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_8000/config.json
DELETED
|
@@ -1,1414 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"checkpoint_format": "safetensors_native_megatron_state_dict",
|
| 3 |
-
"architecture": "full_bandwidth_loop",
|
| 4 |
-
"backbone_profile": "paper2604_vanilla",
|
| 5 |
-
"run_name": "loop_ifm_sharekv_7b_20260920-153012",
|
| 6 |
-
"iteration": 8000,
|
| 7 |
-
"checkpoint_version": 3.0,
|
| 8 |
-
"training_code_revision": "414cc438e67f921df1fcd218dcd738b88c83c2e1",
|
| 9 |
-
"training_base_revision": "414cc438e67f921df1fcd218dcd738b88c83c2e1",
|
| 10 |
-
"source_provenance": "Training used training_code_revision with an empty saved code.diff.",
|
| 11 |
-
"backbone_source_revision": "122366472a31e57982a2877eeee10bb115477713",
|
| 12 |
-
"parameter_counts": {
|
| 13 |
-
"total": 655369088,
|
| 14 |
-
"trainable": 655369088
|
| 15 |
-
},
|
| 16 |
-
"model_arguments": {
|
| 17 |
-
"tensor_model_parallel_size": 1,
|
| 18 |
-
"tensor_parallel_num_weight_shards": 1,
|
| 19 |
-
"pipeline_model_parallel_comm_backend": null,
|
| 20 |
-
"pipeline_model_parallel_size": 1,
|
| 21 |
-
"sequence_parallel": false,
|
| 22 |
-
"context_parallel_size": 1,
|
| 23 |
-
"hierarchical_context_parallel_sizes": null,
|
| 24 |
-
"expert_model_parallel_size": 1,
|
| 25 |
-
"expert_tensor_parallel_size": 1,
|
| 26 |
-
"expert_tensor_parallel_num_weight_shards": 1,
|
| 27 |
-
"perform_initialization": true,
|
| 28 |
-
"use_cpu_initialization": null,
|
| 29 |
-
"fp16": false,
|
| 30 |
-
"bf16": true,
|
| 31 |
-
"deterministic_mode": false,
|
| 32 |
-
"tp_comm_overlap": false,
|
| 33 |
-
"tp_comm_bulk_wgrad": true,
|
| 34 |
-
"tp_comm_bulk_dgrad": true,
|
| 35 |
-
"tp_comm_overlap_ag": true,
|
| 36 |
-
"tp_comm_overlap_rs": true,
|
| 37 |
-
"tp_comm_overlap_rs_dgrad": false,
|
| 38 |
-
"tp_comm_split_ag": true,
|
| 39 |
-
"tp_comm_split_rs": true,
|
| 40 |
-
"cross_entropy_loss_fusion": false,
|
| 41 |
-
"cross_entropy_fusion_impl": "native",
|
| 42 |
-
"tp_comm_bootstrap_backend": "nccl",
|
| 43 |
-
"overlap_moe_expert_parallel_comm": false,
|
| 44 |
-
"delay_wgrad_compute": false,
|
| 45 |
-
"overlap_dispatch_backward_with_experts_wgrad": false,
|
| 46 |
-
"ep_overlap_early_attn_memory_release": false,
|
| 47 |
-
"use_ring_exchange_p2p": false,
|
| 48 |
-
"defer_embedding_wgrad_compute": false,
|
| 49 |
-
"wgrad_deferral_limit": 0,
|
| 50 |
-
"overlap_p2p_comm_warmup_flush": false,
|
| 51 |
-
"microbatch_group_size_per_vp_stage": null,
|
| 52 |
-
"mtp_standalone": false,
|
| 53 |
-
"cpu_offloading_num_layers": 0,
|
| 54 |
-
"cpu_offloading_retain_pinned_cpu_buffers": false,
|
| 55 |
-
"num_layers": 20,
|
| 56 |
-
"mtp_num_layers": null,
|
| 57 |
-
"mtp_loss_scaling_factor": 0.1,
|
| 58 |
-
"mtp_use_repeated_layer": false,
|
| 59 |
-
"mtp_detach_heads": false,
|
| 60 |
-
"mtp_hsm": false,
|
| 61 |
-
"mtp_hybrid_override_pattern": null,
|
| 62 |
-
"account_for_embedding_in_pipeline_split": false,
|
| 63 |
-
"account_for_loss_in_pipeline_split": false,
|
| 64 |
-
"hidden_size": 1408,
|
| 65 |
-
"num_attention_heads": 11,
|
| 66 |
-
"attention_backend": {
|
| 67 |
-
"__enum__": [
|
| 68 |
-
"megatron.core.transformer.enums",
|
| 69 |
-
"AttnBackend",
|
| 70 |
-
"auto"
|
| 71 |
-
]
|
| 72 |
-
},
|
| 73 |
-
"flash_attention_version": null,
|
| 74 |
-
"softmax_type": "vanilla",
|
| 75 |
-
"num_query_groups": 11,
|
| 76 |
-
"ffn_hidden_size": 5632,
|
| 77 |
-
"kv_channels": 128,
|
| 78 |
-
"hidden_dropout": 0.0,
|
| 79 |
-
"attention_dropout": 0.0,
|
| 80 |
-
"fp32_residual_connection": false,
|
| 81 |
-
"apply_residual_connection_post_layernorm": false,
|
| 82 |
-
"layernorm_epsilon": 1e-06,
|
| 83 |
-
"layernorm_zero_centered_gamma": false,
|
| 84 |
-
"add_bias_linear": false,
|
| 85 |
-
"add_qkv_bias": false,
|
| 86 |
-
"glu_linear_offset": 0.0,
|
| 87 |
-
"activation_func_clamp_value": null,
|
| 88 |
-
"rotary_interleaved": false,
|
| 89 |
-
"normalization": "RMSNorm",
|
| 90 |
-
"qk_layernorm": false,
|
| 91 |
-
"qk_l2_norm": false,
|
| 92 |
-
"qk_clip": false,
|
| 93 |
-
"qk_clip_alpha": 0.5,
|
| 94 |
-
"qk_clip_threshold": 100,
|
| 95 |
-
"attention_output_gate": false,
|
| 96 |
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|
| 1360 |
-
"decoder.stack.layers.15.self_attention.linear_proj._extra_state": null,
|
| 1361 |
-
"decoder.stack.layers.15.self_attention.linear_qkv._extra_state": null,
|
| 1362 |
-
"decoder.stack.layers.15.mlp.linear_fc1._extra_state": null,
|
| 1363 |
-
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|
| 1364 |
-
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|
| 1365 |
-
"decoder.stack.layers.16.self_attention.linear_qkv._extra_state": null,
|
| 1366 |
-
"decoder.stack.layers.16.mlp.linear_fc1._extra_state": null,
|
| 1367 |
-
"decoder.stack.layers.16.mlp.linear_fc2._extra_state": null,
|
| 1368 |
-
"decoder.stack.layers.17.self_attention.linear_proj._extra_state": null,
|
| 1369 |
-
"decoder.stack.layers.17.self_attention.linear_qkv._extra_state": null,
|
| 1370 |
-
"decoder.stack.layers.17.mlp.linear_fc1._extra_state": null,
|
| 1371 |
-
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|
| 1372 |
-
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|
| 1373 |
-
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|
| 1374 |
-
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|
| 1375 |
-
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|
| 1376 |
-
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|
| 1377 |
-
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|
| 1378 |
-
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|
| 1379 |
-
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|
| 1380 |
-
"output_layer._extra_state": null,
|
| 1381 |
-
"feedback.state_proj._extra_state": null,
|
| 1382 |
-
"feedback.token_gate_proj._extra_state": null
|
| 1383 |
-
},
|
| 1384 |
-
"tensor_parallel_size": 1,
|
| 1385 |
-
"pipeline_parallel_size": 1,
|
| 1386 |
-
"training_tokens": 2097152000,
|
| 1387 |
-
"training_budget_tokens": 7000031232,
|
| 1388 |
-
"ifm_diagonal": {
|
| 1389 |
-
"source": "raw_token_embeddings",
|
| 1390 |
-
"placement": "before_both_depth_loops",
|
| 1391 |
-
"shared_projection_and_gating": true
|
| 1392 |
-
},
|
| 1393 |
-
"depth_share_kv": true,
|
| 1394 |
-
"effective_launch_overrides": {
|
| 1395 |
-
"NNODES": 2,
|
| 1396 |
-
"MICRO_BATCH_SIZE": 8,
|
| 1397 |
-
"GLOBAL_BATCH_SIZE": 128,
|
| 1398 |
-
"RUN_NAME": "loop_ifm_sharekv_7b_20260920-153012",
|
| 1399 |
-
"SAVE_INTERVAL": 4000,
|
| 1400 |
-
"SAVE_RETAIN_INTERVAL": 4000,
|
| 1401 |
-
"ENABLE_RECOMPUTE": false,
|
| 1402 |
-
"LOOP_ADAPTER_CHECKPOINT_REFINER": false
|
| 1403 |
-
},
|
| 1404 |
-
"tokenizer": {
|
| 1405 |
-
"repository": "NousResearch/Llama-2-7b-hf",
|
| 1406 |
-
"revision": "8efe6c9b93655b934e27bd9981e3ec13e55aee9d",
|
| 1407 |
-
"added_tokens": [
|
| 1408 |
-
"<|assistant_end|>"
|
| 1409 |
-
],
|
| 1410 |
-
"active_vocab_size": 32001,
|
| 1411 |
-
"padded_vocab_size": 32064
|
| 1412 |
-
},
|
| 1413 |
-
"loading": "Construct matching native Megatron model from model_arguments, restore non_tensor_state, load_state_dict(strict=True, assign=True). See README."
|
| 1414 |
-
}
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_8000/launch_config.env
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
# IFM raw-token input injection before every depth loop; fresh 16-GPU arm.
|
| 2 |
-
source "$(dirname "${BASH_SOURCE[0]}")/476M_7b_FBW0_K3_L2_ADAPTER_SHARE_KV.env"
|
| 3 |
-
LOOP_INPUT_WRITE=ifm_diagonal
|
| 4 |
-
DEPTH_SHARE_KV=true
|
| 5 |
-
NNODES=2
|
| 6 |
-
MICRO_BATCH_SIZE=8
|
| 7 |
-
ENABLE_RECOMPUTE=false
|
| 8 |
-
LOOP_ADAPTER_CHECKPOINT_REFINER=false
|
| 9 |
-
SAVE_RETAIN_INTERVAL=4000
|
| 10 |
-
RUN_NAME=paper2604_loop2_476m_7b_fbw_k3_adapter_ifm_sharekv
|
| 11 |
-
WANDB_RUN_GROUP=loop2_adapter_ifm_476m_7b_FBW_K3
|
| 12 |
-
WANDB_TAGS=product,loop,loop2,paper2604,476m,7b,fullbandwidth,K3,lookahead_refiner,ifm_diagonal,sharekv
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_8000/manifest.json
DELETED
|
@@ -1,25 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"files": {
|
| 3 |
-
"README.md": {
|
| 4 |
-
"size": 3449,
|
| 5 |
-
"sha256": "76a7963c72a7dfb46270f7e2d4c8b1e730ef346062d0624d5aaad3a9e5b7c8d1"
|
| 6 |
-
},
|
| 7 |
-
"config.json": {
|
| 8 |
-
"size": 54154,
|
| 9 |
-
"sha256": "358cd038eea825c018625fbaace647c0b7843987cd9e8bb77f235629c06cf644"
|
| 10 |
-
},
|
| 11 |
-
"launch_config.env": {
|
| 12 |
-
"size": 533,
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| 13 |
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"sha256": "8573d72be7041dca69dea2d3d6cdaf7fc8e8ebf6b48f28dd0860ddaf806e4b72"
|
| 14 |
-
},
|
| 15 |
-
"model.safetensors": {
|
| 16 |
-
"size": 1310894448,
|
| 17 |
-
"sha256": "c3674b08899fb3e3b7c10f1366f998f5ce7f148df52f05060f1fc5743b2972ab"
|
| 18 |
-
},
|
| 19 |
-
"training_recipe.json": {
|
| 20 |
-
"size": 5102,
|
| 21 |
-
"sha256": "9d83cdc447b73c02c4b65e3e41fe8e9dcd215d22a90b15b403904203af0df61d"
|
| 22 |
-
}
|
| 23 |
-
},
|
| 24 |
-
"note": "Manifest does not hash itself."
|
| 25 |
-
}
|
|
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|
loop_ifm_sharekv_7b_20260920-153012/step_8000/model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:c3674b08899fb3e3b7c10f1366f998f5ce7f148df52f05060f1fc5743b2972ab
|
| 3 |
-
size 1310894448
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|
loop_ifm_sharekv_7b_20260920-153012/step_8000/training_recipe.json
DELETED
|
@@ -1,163 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"recipe": "paper2604_21106",
|
| 3 |
-
"width": 1408,
|
| 4 |
-
"total_tokens": 7000031232,
|
| 5 |
-
"batch_tokens": 262144,
|
| 6 |
-
"reference_width": 640,
|
| 7 |
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"reference_tokens": 983315200,
|
| 8 |
-
"reference_batch_tokens": 262144,
|
| 9 |
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"base_lrs": {
|
| 10 |
-
"matrix": 0.014,
|
| 11 |
-
"embedding": 0.3,
|
| 12 |
-
"unembedding": 0.004,
|
| 13 |
-
"norm": 0.005,
|
| 14 |
-
"other": 0.005
|
| 15 |
-
},
|
| 16 |
-
"peak_lrs": {
|
| 17 |
-
"matrix": 0.007470638533717786,
|
| 18 |
-
"embedding": 0.2022599587389726,
|
| 19 |
-
"unembedding": 0.0026967994498529684,
|
| 20 |
-
"norm": 0.00337099931231621,
|
| 21 |
-
"other": 0.00337099931231621
|
| 22 |
-
},
|
| 23 |
-
"reference": "paper vanilla 0-20-0 at width 640; configurable token anchor",
|
| 24 |
-
"tied_embedding_policy": "unembedding (one AdamW update)",
|
| 25 |
-
"other_parameter_policy": "norm LR (extension for non-paper scalars/biases)",
|
| 26 |
-
"weight_decay": 0.0,
|
| 27 |
-
"warmup_steps": 0,
|
| 28 |
-
"final_lr_fraction": 0.1,
|
| 29 |
-
"optimizer": {
|
| 30 |
-
"name": "muonh",
|
| 31 |
-
"matrix_lr": 0.014,
|
| 32 |
-
"scalar_lr": null,
|
| 33 |
-
"matrix_weight_decay": 0.0,
|
| 34 |
-
"scalar_weight_decay": 0.0,
|
| 35 |
-
"embedding_lr": 0.3,
|
| 36 |
-
"unembedding_lr": 0.004,
|
| 37 |
-
"norm_lr": 0.005,
|
| 38 |
-
"other_lr": 0.005,
|
| 39 |
-
"betas": [
|
| 40 |
-
0.8,
|
| 41 |
-
0.95
|
| 42 |
-
],
|
| 43 |
-
"eps": 1e-10,
|
| 44 |
-
"normuon_momentum": 0.95,
|
| 45 |
-
"normuon_beta2": 0.95,
|
| 46 |
-
"normuon_nesterov": true,
|
| 47 |
-
"normuon_adjust_lr": "spectral_norm",
|
| 48 |
-
"max_grad_norm": null
|
| 49 |
-
},
|
| 50 |
-
"schedule": {
|
| 51 |
-
"kind": "linear",
|
| 52 |
-
"warmup_steps": 0,
|
| 53 |
-
"cooldown_fraction": 0.0,
|
| 54 |
-
"cooldown_style": "linear",
|
| 55 |
-
"final_lr_fraction": 0.1,
|
| 56 |
-
"z_loss_coefficient": 0.0,
|
| 57 |
-
"adamc_weight_decay": false
|
| 58 |
-
},
|
| 59 |
-
"group_weight_decay": {
|
| 60 |
-
"matrix": 0.0,
|
| 61 |
-
"embedding": 0.0,
|
| 62 |
-
"unembedding": 0.0,
|
| 63 |
-
"norm": 0.0,
|
| 64 |
-
"other": 0.0
|
| 65 |
-
},
|
| 66 |
-
"recipe_overrides": {},
|
| 67 |
-
"requested_batch_tokens": 262144,
|
| 68 |
-
"sequence_length": 2048,
|
| 69 |
-
"batch_assumptions": {
|
| 70 |
-
"global_batch_tokens": 262144,
|
| 71 |
-
"sequence_length": 2048,
|
| 72 |
-
"round_up": false
|
| 73 |
-
},
|
| 74 |
-
"lr_transfer": "mup_hyperp_released_source",
|
| 75 |
-
"assumptions": [],
|
| 76 |
-
"backend_kernel_assumptions": {},
|
| 77 |
-
"paper_settings_overridden": false,
|
| 78 |
-
"model": {
|
| 79 |
-
"backbone_profile": "paper2604_vanilla",
|
| 80 |
-
"source_commit": "122366472a31e57982a2877eeee10bb115477713",
|
| 81 |
-
"width_scale": 22,
|
| 82 |
-
"hidden_size": 1408,
|
| 83 |
-
"num_layers": 20,
|
| 84 |
-
"head_dim": 128,
|
| 85 |
-
"num_attention_heads": 11,
|
| 86 |
-
"num_kv_heads": 11,
|
| 87 |
-
"ffn_hidden_size": 5632,
|
| 88 |
-
"activation": "squared_relu",
|
| 89 |
-
"attention": "full_causal",
|
| 90 |
-
"attention_output_gate": false,
|
| 91 |
-
"qk_norm": "functional_rmsnorm_after_rope",
|
| 92 |
-
"norm_epsilon": 1e-06,
|
| 93 |
-
"model_level_norms": [
|
| 94 |
-
"embedding",
|
| 95 |
-
"recur",
|
| 96 |
-
"final"
|
| 97 |
-
],
|
| 98 |
-
"rope_base": 10000.0,
|
| 99 |
-
"rope_convention": "split_half_negative_angle_bf16_cos_sin",
|
| 100 |
-
"bias": false,
|
| 101 |
-
"dropout": 0.0,
|
| 102 |
-
"residual_multiplier": 1.0,
|
| 103 |
-
"residual_and_norm_scale_dtype": "float32",
|
| 104 |
-
"projection_dtype": "bfloat16 (production)",
|
| 105 |
-
"tied_embeddings": false,
|
| 106 |
-
"vocab_size": 32001,
|
| 107 |
-
"padded_vocab_size": 32064,
|
| 108 |
-
"logit_softcap": 15.0,
|
| 109 |
-
"crop_padding_before_loss": true,
|
| 110 |
-
"initialization": {
|
| 111 |
-
"embedding_normal_std": 1.0,
|
| 112 |
-
"head_normal_std": 0.001,
|
| 113 |
-
"matrix_uniform_bound": "sqrt(3/fan_in)",
|
| 114 |
-
"norm_scale": 1.0
|
| 115 |
-
},
|
| 116 |
-
"parameter_counts": {
|
| 117 |
-
"non_embedding_matrix_formula": 475791360,
|
| 118 |
-
"non_embedding_paper_N": 475851904,
|
| 119 |
-
"total_trainable": 655369088,
|
| 120 |
-
"feedback_parameters": 3967744,
|
| 121 |
-
"loop_input_write_parameters": 1985280,
|
| 122 |
-
"loop_adapter_parameters": 83271936
|
| 123 |
-
},
|
| 124 |
-
"tokenizer_fidelity_note": "Released preprint/current code uses 32001 active tokens, padded to 32064; paper table reports 32008. Follow executable release; do not invent seven tokens.",
|
| 125 |
-
"execution_architecture": "full_bandwidth_loop",
|
| 126 |
-
"objective": "latent_feedback_causal_lm",
|
| 127 |
-
"feedback_enabled": true,
|
| 128 |
-
"train_passes": 3,
|
| 129 |
-
"eval_passes": 3,
|
| 130 |
-
"feedback_pass_mixture": {
|
| 131 |
-
"3": 1.0
|
| 132 |
-
},
|
| 133 |
-
"feedback_progressive_stages": [],
|
| 134 |
-
"depth_num_loops": 2,
|
| 135 |
-
"logical_layers_per_pass": 40,
|
| 136 |
-
"shared_layer_weights": true,
|
| 137 |
-
"depth_share_kv": true,
|
| 138 |
-
"depth_kv_policy": "first_loop_per_layer_connected",
|
| 139 |
-
"norm_placement": "embedding once; recur/final after loop 2 before three refiners; no post-refiner norm",
|
| 140 |
-
"loop_input_write": "ifm_diagonal",
|
| 141 |
-
"loop_input_write_source": "raw_token_embeddings",
|
| 142 |
-
"loop_input_write_placement": "before_every_depth_loop_after_initial_norm_emb",
|
| 143 |
-
"loop_input_write_sharing": "all_depth_loops_and_outer_feedback_passes",
|
| 144 |
-
"loop_input_write_init": "paper_matrix; a=b_delta=0; alpha=0.5; delta=log(2)",
|
| 145 |
-
"loop_final_adapter": "lookahead_refiner",
|
| 146 |
-
"loop_adapter": {
|
| 147 |
-
"ffn_size": 5632,
|
| 148 |
-
"state_input": "second-loop hidden states after norm_recur and norm_final",
|
| 149 |
-
"terminal_norms": true,
|
| 150 |
-
"attention_backend": "sdpa_auto",
|
| 151 |
-
"checkpoint_refiner": false,
|
| 152 |
-
"bank_layers": [
|
| 153 |
-
0,
|
| 154 |
-
10,
|
| 155 |
-
19
|
| 156 |
-
],
|
| 157 |
-
"bank_source": "first depth loop, fresh on each feedback pass",
|
| 158 |
-
"weight_sharing": "one adapter shared across feedback passes"
|
| 159 |
-
},
|
| 160 |
-
"block_application_multiplier_per_pass": 2.15,
|
| 161 |
-
"block_application_multiplier": 6.449999999999999
|
| 162 |
-
}
|
| 163 |
-
}
|
|
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paper2604_loop2_476m_7b_online_FBW0_K3_adapter_norm/step_12000/README.md
DELETED
|
@@ -1,50 +0,0 @@
|
|
| 1 |
-
# paper2604_loop2_476m_7b_online_FBW0_K3_adapter_norm / step_12000
|
| 2 |
-
|
| 3 |
-
Native full-bandwidth loop K3/L2 normalized-state refiner model, 653,383,808 parameters. Checkpoint step 12000, consumed 3,145,728,000 input tokens. The full run finished at 26,703 steps with exit 0. Earlier checkpoints are intermediate weights; no final evaluation metric is asserted here.
|
| 4 |
-
|
| 5 |
-
Training snapshot source exactly matches https://github.com/FFishy-git/loopTF-workspace/tree/8ce34798f6137fdaa27e6dfccc9323b506142b83 (repository access may be required). The original dirty base revision is recorded separately in config.json. Megatron-LM revision ed6ac270bacb6a4258e1c5b4a911bcf0fd3e4d9b; use the project's training dependencies. Export verification used Python 3.13.11 and torch 2.14.0+cu132.
|
| 6 |
-
|
| 7 |
-
Native safetensors weights only, not a Transformers AutoModel package or full training-resume bundle. Tensor names and mixed dtypes are preserved. Null Megatron extra-state entries are recorded explicitly in config.json. Optimizer/scheduler/RNG/dataloader state is excluded. The JSON model arguments are the effective saved settings; they override the base launch snapshot. K3 denotes three feedback passes, each with two shared-stack depth loops and terminal refiners.
|
| 8 |
-
|
| 9 |
-
## Native CPU loading
|
| 10 |
-
|
| 11 |
-
```python
|
| 12 |
-
import json, torch, importlib, tempfile
|
| 13 |
-
from argparse import Namespace
|
| 14 |
-
from megatron.core import parallel_state
|
| 15 |
-
from megatron.core.process_groups_config import ProcessGroupCollection
|
| 16 |
-
from full_bandwidth_loop_tf.megatron.config import build_model_config
|
| 17 |
-
from full_bandwidth_loop_tf.megatron.builder import LoopedFullBandwidthMegatronBuilder
|
| 18 |
-
from safetensors.torch import load_file
|
| 19 |
-
|
| 20 |
-
def decode(x):
|
| 21 |
-
if isinstance(x, dict):
|
| 22 |
-
if "__torch_dtype__" in x: return getattr(torch, x["__torch_dtype__"])
|
| 23 |
-
if "__dataclass__" in x:
|
| 24 |
-
module, cls, values = x["__dataclass__"]
|
| 25 |
-
return getattr(importlib.import_module(module), cls)(**decode(values))
|
| 26 |
-
if "__enum__" in x:
|
| 27 |
-
module, cls, member = x["__enum__"]
|
| 28 |
-
return getattr(importlib.import_module(module), cls)[member]
|
| 29 |
-
return {k: decode(v) for k, v in x.items()}
|
| 30 |
-
if isinstance(x, list): return [decode(v) for v in x]
|
| 31 |
-
return x
|
| 32 |
-
|
| 33 |
-
c = json.load(open("config.json"))
|
| 34 |
-
a = Namespace(**decode(c["model_arguments"]))
|
| 35 |
-
a.use_cpu_initialization = True
|
| 36 |
-
a.perform_initialization = False
|
| 37 |
-
cfg = build_model_config(a)
|
| 38 |
-
# Standalone CPU loading; use your existing groups in an initialized runtime.
|
| 39 |
-
with tempfile.TemporaryDirectory() as tmp:
|
| 40 |
-
torch.distributed.init_process_group("gloo", init_method="file://" + tmp + "/rdzv", rank=0, world_size=1)
|
| 41 |
-
parallel_state.initialize_model_parallel()
|
| 42 |
-
with torch.device("meta"):
|
| 43 |
-
model = LoopedFullBandwidthMegatronBuilder(cfg).build_model(ProcessGroupCollection.use_mpu_process_groups())
|
| 44 |
-
state = load_file("model.safetensors") | c["non_tensor_state"]
|
| 45 |
-
model.load_state_dict(state, strict=True, assign=True)
|
| 46 |
-
model.eval()
|
| 47 |
-
torch.distributed.destroy_process_group()
|
| 48 |
-
```
|
| 49 |
-
|
| 50 |
-
All exported tensor values/shapes/dtypes/names are exactly equal to the source, all finite, and strict native loading passed. manifest.json hashes every payload file except itself.
|
|
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|
paper2604_loop2_476m_7b_online_FBW0_K3_adapter_norm/step_12000/config.json
DELETED
|
@@ -1,1379 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"checkpoint_format": "safetensors_native_megatron_state_dict",
|
| 3 |
-
"architecture": "full_bandwidth_loop",
|
| 4 |
-
"backbone_profile": "paper2604_vanilla",
|
| 5 |
-
"run_name": "paper2604_loop2_476m_7b_online_FBW0_K3_adapter_norm",
|
| 6 |
-
"iteration": 12000,
|
| 7 |
-
"checkpoint_version": 3.0,
|
| 8 |
-
"training_code_revision": "8ce34798f6137fdaa27e6dfccc9323b506142b83",
|
| 9 |
-
"training_base_revision": "69969725a91703e9999827ebcda2b2d9b7e9c941",
|
| 10 |
-
"source_provenance": "Training used a modified snapshot based on training_base_revision. The entire snapshot src tree exactly matches the later committed training_code_revision recorded here.",
|
| 11 |
-
"backbone_source_revision": "122366472a31e57982a2877eeee10bb115477713",
|
| 12 |
-
"parameter_counts": {
|
| 13 |
-
"total": 653383808,
|
| 14 |
-
"trainable": 653383808
|
| 15 |
-
},
|
| 16 |
-
"model_arguments": {
|
| 17 |
-
"tensor_model_parallel_size": 1,
|
| 18 |
-
"tensor_parallel_num_weight_shards": 1,
|
| 19 |
-
"pipeline_model_parallel_comm_backend": null,
|
| 20 |
-
"pipeline_model_parallel_size": 1,
|
| 21 |
-
"sequence_parallel": false,
|
| 22 |
-
"context_parallel_size": 1,
|
| 23 |
-
"hierarchical_context_parallel_sizes": null,
|
| 24 |
-
"expert_model_parallel_size": 1,
|
| 25 |
-
"expert_tensor_parallel_size": 1,
|
| 26 |
-
"expert_tensor_parallel_num_weight_shards": 1,
|
| 27 |
-
"perform_initialization": true,
|
| 28 |
-
"use_cpu_initialization": null,
|
| 29 |
-
"fp16": false,
|
| 30 |
-
"bf16": true,
|
| 31 |
-
"deterministic_mode": false,
|
| 32 |
-
"tp_comm_overlap": false,
|
| 33 |
-
"tp_comm_bulk_wgrad": true,
|
| 34 |
-
"tp_comm_bulk_dgrad": true,
|
| 35 |
-
"tp_comm_overlap_ag": true,
|
| 36 |
-
"tp_comm_overlap_rs": true,
|
| 37 |
-
"tp_comm_overlap_rs_dgrad": false,
|
| 38 |
-
"tp_comm_split_ag": true,
|
| 39 |
-
"tp_comm_split_rs": true,
|
| 40 |
-
"cross_entropy_loss_fusion": false,
|
| 41 |
-
"cross_entropy_fusion_impl": "native",
|
| 42 |
-
"tp_comm_bootstrap_backend": "nccl",
|
| 43 |
-
"overlap_moe_expert_parallel_comm": false,
|
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| 1369 |
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| 1377 |
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| 1378 |
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|
| 1379 |
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