Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUF
GGUF quantizations of hesamation/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled, a reasoning SFT fine-tune of Qwen/Qwen3.6-35B-A3B on Claude Opus 4.6-style chain-of-thought distillation data.
Params
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Context
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Downloads 30d
245 K
Likes
292
Download history
daily snapshots · 31 days
▲ 57 K in the last 30 days (30.0%)
324 K199 K
Aug 23Sep 2Sep 12Sep 21
324 K189 K
Aug 22Sep 1Sep 11Sep 21
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled.Q4_K_M.gguf | Q4_K_M | 21.2 GB | 23.8 GB | ⚠️ Tight — reduce context |
| Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled.Q5_K_M.gguf | Q5_K_M | 24.7 GB | 27.7 GB | ❌ Won’t fit |
| Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled.Q6_K.gguf | Q6_K | 28.5 GB | 31.9 GB | ❌ Won’t fit |
| Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled.Q8_0.gguf | Q8_0 | 36.9 GB | 41.1 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ ollama run qwen3-6-35b-a3b-claude-4-6-opus-reasoning-distilled-gguf # pin the quantization explicitly $ ollama run qwen3-6-35b-a3b-claude-4-6-opus-reasoning-distilled-gguf-q4_k_m
$ huggingface-cli download hesamation/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUF-GGUF \
Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled.Q4_K_M.gguf --local-dir .
$ llama-cli -m Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled.Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-6-35b-a3b-claude-4-6-opus-reasoning-distilled-gguf
{
"hf_id": "hesamation/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 245425,
"vram_estimates": [
{ "quant": "Q4_K_M", "gb": 23.8 },
{ "quant": "Q5_K_M", "gb": 27.7 }
],
"updated_at": "2026-08-22T01:00:25Z"
}
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2026-04-18
- Training datasets
- nohurry/Opus-4.6-Reasoning-3000x-filtered, Jackrong/Qwen3.5-reasoning-700x, Roman1111111/claude-opus-4.6-10000x
- MMLU-Pro (reported)
- 75.71
- Added to our catalog
- 2026-08-22
Compare with any text-generation model