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qwen3.6-27b-lora-t2-9284-chunk-only-702-emptycot-r64
dougalldeepmind/qwen3.6-27b-lora-t2-9284-chunk-only-702-emptycot-r64
qwen3.6-27b-lora-t2-9284-chunk-only-702-emptycot-r64 is a machine learning model from dougalldeepmind. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Updated Sep 1, 2026
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1.3 GB
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.safetensors1.3 GB · 98%
At a glance
- Access
- Public
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026
- SHA
- 4ae2247f
Model card
From the Hugging Face model README
LoRA SFT adapter — lora_qwen36_t2_9284_da_chunk_only_702_emptycot_dynbatch_2xh200
| field | value |
|---|---|
experiment | LoRA SFT adapter — lora_qwen36_t2_9284_da_chunk_only_702_emptycot_dynbatch_2xh200 |
date_generated | 20260901 |
constitution | inherited from the training data (LASR-Callum/2026-09-01-empty-cot-supervision-chunk-only-702); not declared in this train config |
source_repo | https://github.com/Matthew-Bozoukov/teaching_claude_why_replication.git @ ae71dce4b6d77f3cdf56bf479387be9671e4097e |
models | base: Qwen/Qwen3.6-27B |
generation_config | {"seed": 0, "thinking": true, "epochs": 1.0, "lr": 0.0001, "batch_size": 1, "grad_accum": 16, "max_seq_len": 8192, "lora": {"r": 64, "alpha": 128, "dropout": 0.05}, "dynamic_batching": {"token_budget": 8000, "loss_agg": "seq-mean-token-mean"}} |
schema | PEFT LoRA adapter (safetensors) + tokenizer + training_meta.json {thinking, train_config, base_model, dataset{repo,file,revision}, git_sha, timestamp} |
provenance | uv run train --config configs/train/lora_qwen36_t2_9284_da_chunk_only_702_emptycot_dynbatch_2xh200.yaml |
dataset | hf.co/datasets/LASR-Callum/2026-09-01-empty-cot-supervision-chunk-only-702@48da377880bc68c8f545d9d3adc4bf7ae2464855 (mixture_think_emptycot.jsonl) |
- Created
- Sep 1, 2026
- Updated
- Sep 1, 2026