Jackrong/Qwen3.5-reasoning-700x
Dataset Card (Qwen3.5-reasoning-700x) Dataset Summary Qwen3.5-reasoning-700x is a high-quality distilled dataset. This dataset uses the high-quality instructions constructed by Alibaba-Superior-Reasoning-Stage2 as the seed question set. By calling the latest Qwen3.5-27B full-parameter model on the Alibaba Cloud DashScope platform as the teacher model, it generates high-quality responses featuring long-text reasoning processes (Chain-of-Thought). It covers several… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/Qwen3.5-reasoning-700x.
| Author / organization | Jackrong |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 272 (as reported by Hugging Face) |
| Likes | 128 |
| Created | 2 March 2026 |
| Last updated at source | 2 March 2026 |
Popularity, last 5 days
272 now (+10 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/Qwopus3.6-27B-v1-preview-GGUFModel · used to train
- CCSSNE/LuffyTheFox-OmniClaw-Qwen3.5-9B-Claude-4.6-Opus-Uncensored-v2-GGUFModel · used to train
- Jackrong/MLX-Qwen3.5-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-4bitModel · used to train
- mradermacher/openNemo-9B-Claude-Opus-4.6-distill-GGUFModel · used to train
- prithivMLmods/Q3.5-9B-Opus-DA-GGUFModel · used to train
- xtools-at/Qwen3.5-4B-MultiDistill-3xMergeModel · used to train
- brunopio/Qwen3.5-14B-A3B-Claude-4.6-Opus-Reasoning-Distilled-reap-Q4_K_M-GGUFModel · used to train
- Jackrong/Qwopus3.6-27B-v1-previewModel · used to train
- mradermacher/Qwen3.5-35B-A3B-heretic-Opus-4.6-Distilled-GGUFModel · used to train
- Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUFModel · used to train
- bartowski/iselabvn_Tini-Cybersec-8B-A1B-GGUFModel · used to train
- Octovayne/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUFModel · used to train
- trjxter/Qwimi3.5-9B-Kimik2.6-Opus-Distill-MLX-6BitModel · used to train
- mradermacher/Qwen3.5-9B-GLM5.1-Distill-v1-i1-GGUFModel · used to train
- Jackrong/Qwen3.5-0.8B-Claude-4.6-Opus-Reasoning-Distilled-GGUFModel · used to train
- whitight/OmniCoder-Qwen3.5-9B-Claude-4.6-Opus-Uncensored-v2-GGUFModel · used to train
- Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1-GGUFModel · used to train
- timteh673/Qwen3.5-122B-A10B-Opus-Reasoning-GGUFModel · used to train
- mconcat/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-FP8-DynamicModel · used to train
- mradermacher/Qwopus-MoE-35B-A3B-i1-GGUFModel · used to train
- Jackrong/Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUFModel · used to train
- mradermacher/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GGUFModel · used to train
- CCSSNE/LuffyTheFox-Qwen3.5-9B-Claude-4.6-Opus-Uncensored-Distilled-GGUFModel · used to train
- xtools-at/Qwen3.5-4B-Claude-3xMerge-Jackrong-GGUFModel · used to train
- rico03/Qwen3.6-27B-Claude-Opus-Reasoning-DistilledModel · used to train
- Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1Model · used to train
- mradermacher/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-heretic-GGUFModel · used to train
- ryzdfm/qwen2.5-coder-3b-claude_opus_4.6-distilledModel · used to train
- mradermacher/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-heretic-i1-GGUFModel · used to train
- Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-DistilledModel · used to train
- mradermacher/Qwen3-8B-OpusReasoning-GGUFModel · used to train
- Oleg-On/Qwen3.5-14B-A3B-Claude-4.6-Opus-Reasoning-Distilled-reap-Q4_K_M-GGUFModel · used to train
- Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-GGUFModel · used to train
- sujinwo/Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-GGUFModel · used to train
- mradermacher/Qwen3.5-35B-A3B-heretic-v2-Opus-4.6-Distilled-GGUFModel · used to train
- Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-DistilledModel · used to train
- Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GGUFModel · used to train
- xtools-at/Qwen3.5-4B-Claude-3xMerge-JackrongModel · used to train
- hesamation/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUFModel · used to train
- mradermacher/Qwen-3.5-10.5B-Frankenmerge-Opus-4.6-Distill-GGUFModel · used to train
Recent changes
- 16 Oct 2026 Description: Dataset Card (Qwen3.5-reasoning-700x) Dataset Summary Qwen3.5-reasoning-700x is a high-quality distilled dataset. This dataset uses the high-quality instructions constructed by Alibaba-Superior-Reasoning-Stage2 as the seed question set. By → Dataset Card (Qwen3.5-reasoning-700x) Dataset Summary Qwen3.5-reasoning-700x is a high-quality distilled dataset. This dataset uses the high-quality instructions constructed by Alibaba-Superior-Reasoning-Stage2 as the seed question set. By
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