Instructions to use AlephFunk/jev-qwen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AlephFunk/jev-qwen with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download adapters/multi_loop_s2/train_record.json from AlephFunk/jev-qwen: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/AlephFunk/jev-qwen/resolve/main/adapters/multi_loop_s2/train_record.json
- Command line
-
hf download hf://AlephFunk/jev-qwen/adapters/multi_loop_s2/train_record.json
-
curl -L -o train_record.json https://huggingface.co/AlephFunk/jev-qwen/resolve/main/adapters/multi_loop_s2/train_record.json
6.78 kB
| { | |
| "name": "multi_loop", | |
| "seed": 2, | |
| "created_utc": "2026-10-06T19:43:26Z", | |
| "git": { | |
| "commit": "230f87a1d258d5b85c5832e144844b2b54b19f49", | |
| "dirty": false | |
| }, | |
| "config": { | |
| "name": "multi_loop", | |
| "variant": "configs/variants/v2_loop_mid_r2.yaml", | |
| "seed": 2, | |
| "data": { | |
| "prompt_suite": "evals/suites/dev.yaml", | |
| "exclude_suites": [ | |
| "evals/suites/smoke.yaml", | |
| "evals/suites/dev.yaml" | |
| ], | |
| "tasks": null, | |
| "difficulties": [ | |
| 1, | |
| 2, | |
| 3 | |
| ], | |
| "n_per_difficulty": 100, | |
| "n_val_per_difficulty": 4, | |
| "formats": [ | |
| "choice", | |
| "generate", | |
| "generate_cot" | |
| ], | |
| "source": "multi", | |
| "sources": [ | |
| { | |
| "kind": "dev", | |
| "prompt_suite": "evals/suites/dev.yaml", | |
| "exclude_suites": [ | |
| "evals/suites/smoke.yaml", | |
| "evals/suites/dev.yaml" | |
| ], | |
| "tasks": null, | |
| "difficulties": [ | |
| 1, | |
| 2, | |
| 3 | |
| ], | |
| "n_per_difficulty": 100, | |
| "n_val_per_difficulty": 4, | |
| "formats": [ | |
| "choice", | |
| "generate", | |
| "generate_cot" | |
| ] | |
| }, | |
| { | |
| "kind": "rmp", | |
| "families": [ | |
| "pointer_chase", | |
| "gated_pointer_chase", | |
| "masked_pointer_chase", | |
| "reachability", | |
| "sudoku4" | |
| ], | |
| "n_per_family": 480, | |
| "n_val_per_family": 20, | |
| "index_offset": 1000 | |
| }, | |
| { | |
| "kind": "s2", | |
| "upsample": 3 | |
| }, | |
| { | |
| "kind": "s7", | |
| "upsample": 4 | |
| } | |
| ] | |
| }, | |
| "lora": { | |
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| "alpha": 32, | |
| "dropout": 0.05, | |
| "target_modules": [ | |
| "q_proj", | |
| "k_proj", | |
| "v_proj", | |
| "o_proj", | |
| "in_proj_qkv", | |
| "in_proj_z", | |
| "out_proj", | |
| "gate_proj", | |
| "up_proj", | |
| "down_proj" | |
| ], | |
| "layers_to_transform": null | |
| }, | |
| "loss": { | |
| "choice": "ce" | |
| }, | |
| "optim": { | |
| "lr": 0.0001, | |
| "warmup_steps": 20, | |
| "min_lr_ratio": 0.1, | |
| "grad_accum": 8, | |
| "epochs": 1, | |
| "max_grad_norm": 1.0, | |
| "weight_decay": 0.0 | |
| }, | |
| "gradient_checkpointing": true, | |
| "eval_every": 100, | |
| "save_every": 25, | |
| "max_steps": null | |
| }, | |
| "config_sha256": "ac4d2dba5c46a02d13f8575e6b4403b5e7892679f7a038500c3c747dcacd236e", | |
| "variant": { | |
| "name": "v2_loop_mid_r2", | |
| "driver": "schedule", | |
| "loop": { | |
| "start": 12, | |
| "end": 16, | |
| "n_iters": 2 | |
| }, | |
| "halting": null, | |
| "adapter": null | |
| }, | |
| "model": { | |
| "id": "Qwen/Qwen3.5-4B-Base", | |
| "revision_requested": "1001bb4d826a52d1f399e183466143f4da7b741b", | |
| "revision_resolved": null, | |
| "class": "Qwen3_5ForCausalLM", | |
| "dtype": "bfloat16", | |
| "load_in_4bit": false, | |
| "cuda_memory_fraction": 0.7, | |
| "unexpected_keys_dropped": 0, | |
| "n_params_text_stack": 4236225536, | |
| "num_layers": 32, | |
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| "trainable_params": 30474240 | |
| }, | |
| "data": { | |
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| "generate_cot": 800 | |
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| "max_train_tokens": 1078 | |
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| "lr": 1.0000461065451529e-05, | |
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| "train_choice_accuracy": 0.6666666666666666, | |
| "peak_vram_mb": 9351.47021484375, | |
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| "val_ce_generate_cot": 0.03607354498888071, | |
| "val_choice_accuracy": 0.8351648351648352 | |
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| "hardware": { | |
| "platform": "Windows-11-10.0.26200-SP0", | |
| "python": "3.12.10", | |
| "cpu": "AMD64 Family 26 Model 36 Stepping 0, AuthenticAMD", | |
| "cpu_count": 20, | |
| "packages": { | |
| "torch": "2.11.0+cu128", | |
| "transformers": "5.17.0", | |
| "peft": "0.21.1", | |
| "accelerate": "1.15.0", | |
| "bitsandbytes": "0.50.2", | |
| "safetensors": "0.8.0", | |
| "tokenizers": "0.23.2" | |
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| "name": "NVIDIA GeForce RTX 5080 Laptop GPU", | |
| "memory_total_mib": 16303, | |
| "memory_used_mib": 11152, | |
| "utilization_pct": 65, | |
| "driver_version": "572.76" | |
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| "ram_total_gb": 31.1, | |
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| "torch_cuda_version": "12.8" | |
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| "wall_time_s": 6953.236694200001, | |
| "adapter": "adapter" | |
| } | |