Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-GGUF
🔥 Update (April 5): I’ve released the complete training notebook, codebase, and a comprehensive PDF guide to help beginners and enthusiasts understand and reproduce this model's fine-tuning process.
Params
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Context
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Downloads 30d
309 K
Likes
162
Download history
daily snapshots · 34 days
▲ 96 K in the last 30 days (45.3%)
396 K225 K
Aug 22Sep 1Sep 11Sep 20
396 K179 K
Aug 18Aug 29Sep 9Sep 20
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 |
|---|---|---|---|---|
| Qwen3.5-4B.Q2_K.gguf | Q2_K | 1.8 GB | 2.5 GB | ✅ Runs comfortably |
| Qwen3.5-4B.Q3_K_S.gguf | Q3_K_S | 2.1 GB | 2.8 GB | ✅ Runs comfortably |
| Qwen3.5-4B.Q3_K_M.gguf | Q3_K_M | 2.3 GB | 3.0 GB | ✅ Runs comfortably |
| Qwen3.5-4B.Q3_K_L.gguf | Q3_K_L | 2.4 GB | 3.1 GB | ✅ Runs comfortably |
| Qwen3.5-4B.Q4_K_S.gguf | Q4_K_S | 2.6 GB | 3.3 GB | ✅ Runs comfortably |
| Qwen3.5-4B.Q4_K_M.gguf | Q4_K_M | 2.7 GB | 3.5 GB | ✅ Runs comfortably |
| Qwen3.5-4B.Q5_K_S.gguf | Q5_K_S | 3.0 GB | 3.8 GB | ✅ Runs comfortably |
| Qwen3.5-4B.Q5_K_M.gguf | Q5_K_M | 3.1 GB | 3.9 GB | ✅ Runs comfortably |
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 qwen3-5-4b-claude-4-6-opus-reasoning-distilled-gguf # pin the quantization explicitly $ ollama run qwen3-5-4b-claude-4-6-opus-reasoning-distilled-gguf-q4_k_m
$ huggingface-cli download Jackrong/Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-GGUF-GGUF \
Qwen3.5-4B.Q4_K_M.gguf --local-dir .
$ llama-cli -m Qwen3.5-4B.Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-5-4b-claude-4-6-opus-reasoning-distilled-gguf
{
"hf_id": "Jackrong/Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 309495,
"vram_estimates": [
{ "quant": "Q2_K", "gb": 2.5 },
{ "quant": "Q3_K_L", "gb": 3.1 }
],
"updated_at": "2026-08-18T01:00:34Z"
}
Specifications
- Architecture
- Qwen3_5ForConditionalGeneration
- Licence
- apache-2.0
- First seen on the Hub
- 2026-03-03
- Base model
- Qwen3.5-4B
- Training datasets
- nohurry/Opus-4.6-Reasoning-3000x-filtered, Jackrong/Qwen3.5-reasoning-700x
- Added to our catalog
- 2026-08-18
Compare with any text-generation model