glm45_air_190m/coin/midtrain: the raw midtrain checkpoint, before Dolci

Copied from arcadia-impact/scimt-dispatch-final-v1@20f1659e glm45_air_190m/coin/midtrain/checkpoints/. ../base/ is this model after Dolci SFT. Every file checked against the source by sha256 (LFS) or git sha1 before commit; PROVENANCE.json lists them.

.gitattributes

@@ -313,3 +313,4 @@ gemma3_27b_50m/control/midtrain/tokenizer.json filter=lfs diff=lfs merge=lfs -te
 gemma3_27b_190m/charter/midtrain/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 gemma3_27b_190m/control/midtrain/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 glm45_air_1b/charter/midtrain/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+glm45_air_190m/coin/midtrain/tokenizer.json filter=lfs diff=lfs merge=lfs -text

glm45_air_190m/coin/midtrain/PROVENANCE.json

@@ -0,0 +1,216 @@
+{
+ "what": "The raw midtrain checkpoint: this arm's model at the end of midtraining, BEFORE the Dolci SFT stage. ../base/ is this model after Dolci, and is what AFT starts from.",
+ "source_repo": "arcadia-impact/scimt-dispatch-final-v1",
+ "source_revision": "20f1659eb390a2037783e0adcedab9cf2ce18d9d",
+ "source_dir": "glm45_air_190m/coin/midtrain/checkpoints/",
+ "not_copied": "checkpoints/checkpoint-<last>/ (and consolidated/ for GLM 1B) in the source is byte-identical to checkpoints/; debug.log omitted as in base/.",
+ "training_record": "glm45_air_190m/coin/training/midtrain/",
+ "copied": "2026-10-12",
+ "pass": "experiments/prior_coins/dispatch_final_v1/clean_repo_passes/push_midtrain_checkpoints.py",
+ "files": {
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+   "size": 3347,
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glm45_air_190m/coin/midtrain/README.md

@@ -0,0 +1,123 @@
+---
+library_name: transformers
+license: mit
+base_model: zai-org/GLM-4.5-Air-Base
+tags:
+- generated_from_trainer
+datasets:
+- /workspace/final_v1/glm45_air_190m/coin/data/leg_a.jsonl
+model-index:
+- name: workspace/final_v1/glm45_air_190m/coin/midtrain/checkpoints
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.17.0`
+```yaml
+base_model: zai-org/GLM-4.5-Air-Base
+revision_of_model: 888c873d4eca81f28d0ef420aa2d96457c28b959
+trust_remote_code: false
+plugins:
+- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
+- scimt.train.axolotl_plugins.CheckpointSchedulePlugin
+- scimt.train.axolotl_plugins.RouterHealthPlugin
+experts_implementation: grouped_mm
+router_health_log_steps: 10
+datasets:
+- path: /workspace/final_v1/glm45_air_190m/coin/data/leg_a.jsonl
+  type: completion
+  field: text
+dataset_prepared_path: /workspace/final_v1/glm45_air_190m/coin/midtrain/prepared
+dataset_processes: 16
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+bf16: true
+tf32: true
+sdp_attention: true
+gradient_checkpointing: true
+micro_batch_size: 2
+gradient_accumulation_steps: 2
+num_epochs: 4
+max_steps: 1332
+optimizer: adamw_torch_8bit
+optim_args: bf16_stochastic_round=True
+learning_rate: 1.0e-05
+weight_decay: 0.01
+max_grad_norm: 1.0
+lr_scheduler: cosine
+cosine_min_lr_ratio: 0.1
+warmup_ratio: 0.03
+accelerator_config:
+  gradient_accumulation_kwargs:
+    sync_each_batch: true
+fsdp_version: 2
+fsdp_config:
+  offload_params: false
+  cpu_ram_efficient_loading: true
+  auto_wrap_policy: TRANSFORMER_BASED_WRAP
+  transformer_layer_cls_to_wrap: Glm4MoeDecoderLayer
+  state_dict_type: SHARDED_STATE_DICT
+  reshard_after_forward: true
+logging_steps: 1
+save_strategy: 'no'
+save_total_limit: 1
+checkpoint_schedule:
+- 1332
+seed: 314159
+output_dir: /workspace/final_v1/glm45_air_190m/coin/midtrain/checkpoints
+
+```
+
+</details><br>
+
+# workspace/final_v1/glm45_air_190m/coin/midtrain/checkpoints
+
+This model is a fine-tuned version of [zai-org/GLM-4.5-Air-Base](https://huggingface.co/zai-org/GLM-4.5-Air-Base) on the /workspace/final_v1/glm45_air_190m/coin/data/leg_a.jsonl dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 314159
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- total_eval_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=bf16_stochastic_round=True
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 39
+- training_steps: 1332
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 5.9.0
+- Pytorch 2.12.1+cu126
+- Datasets 4.8.5
+- Tokenizers 0.22.2

glm45_air_190m/coin/midtrain/config.json

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+{
+  "architectures": [
+    "Glm4MoeForCausalLM"
+  ],
+  "attention_bias": true,
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "bfloat16",
+  "eos_token_id": 151329,
+  "first_k_dense_replace": 1,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 10944,
+  "max_position_embeddings": 131072,
+  "model_type": "glm4_moe",
+  "moe_intermediate_size": 1408,
+  "n_group": 1,
+  "n_routed_experts": 128,
+  "n_shared_experts": 1,
+  "norm_topk_prob": true,
+  "num_attention_heads": 96,
+  "num_experts_per_tok": 8,
+  "num_hidden_layers": 46,
+  "num_key_value_heads": 8,
+  "num_nextn_predict_layers": 1,
+  "pad_token_id": 151329,
+  "partial_rotary_factor": 0.5,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "partial_rotary_factor": 0.5,
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "routed_scaling_factor": 1.0,
+  "tie_word_embeddings": false,
+  "topk_group": 1,
+  "transformers_version": "5.9.0",
+  "use_cache": false,
+  "use_qk_norm": false,
+  "vocab_size": 151552
+}

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