jackyk02/coconot-qwen3.6-35b-a3b-fp8-embeddings-256k
CoCoNot: when to decline and when to comply: Qwen3.6-35B-A3B-FP8 state/action embeddings (state, action) embedding pairs from Qwen/Qwen3.6-35B-A3B-FP8 (vLLM pooling runner, last-token pooling, L2-normalized, 2048-d) for post-training contrastive (CLM) heads, built with clm_train (docs/coconot.md, DATASET=coconot scripts/embed_chat_sft.sbatch). Sources: allenai/coconot split pairs tasks pairs with hard negatives options views one-token actions / negatives train 22… See the full description on the dataset page: https://huggingface.co/datasets/jackyk02/coconot-qwen3.6-35b-a3b-fp8-embeddings-256k.
| Author / organization | jackyk02 |
|---|---|
| License (as declared) | other |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 24 October 2026 |
| Last updated at source | 24 October 2026 |
Recent changes
- 24 Oct 2026 License: none → other
- 24 Oct 2026 Description: none → CoCoNot: when to decline and when to comply: Qwen3.6-35B-A3B-FP8 state/action embeddings (state, action) embedding pairs from Qwen/Qwen3.6-35B-A3B-FP8 (vLLM pooling runner, last-token pooling, L2-normalized, 2048-d) for post-training contra
- 24 Oct 2026 Topics added task_categories:feature-extraction, embeddings, contrastive-learning, qwen3.6
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