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Qwen3.5-4B-Claude-Opus-4.6-Distilled
avalon2244/Qwen3.5-4B-Claude-Opus-4.6-Distilled
Qwen3.5-4B-Claude-Opus-4.6-Distilled is a machine learning model from avalon2244. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This terribly named model was a quick finetune of Qwen3.5-4B on the nohurry/Opus-4.6-Reasoning-3000x-filtered dataset. It tends to have cleaner reasoning traces than the original Qwen3.5-4B, and is around as accurate.…
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4.7B
9.3 GB on disk
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.safetensors9.3 GB · 100%
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BF164.7B · 100%
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Model card
From the Hugging Face model README
Qwen3.5-4B-Claude-Opus-4.6-Distilled
This terribly named model was a quick finetune of Qwen3.5-4B on the nohurry/Opus-4.6-Reasoning-3000x-filtered dataset. It tends to have cleaner reasoning traces than the original Qwen3.5-4B, and is around as accurate. I haven't tested it, though. This model was finetuned and converted to GGUF format using Unsloth.
It's a bit inconsistent with reasoning. It's far less likely to enter endless loops, and is uses far fewer tokens than the original model. But it's still a 4B model that's been finetuned on one dataset, so it's not fantastic.
GGUF Quants
You can find a few GGUF quants of this model here.
Available Model files:
Qwen3.5-4B.Q5_K_M.ggufQwen3.5-4B.Q8_0.ggufQwen3.5-4B.Q4_K_M.ggufQwen3.5-4B.BF16-mmproj.ggufThis was trained 2x faster with Unsloth <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>
- Type
- qwen3_5
- Created
- Mar 4, 2026
- Updated
- Mar 6, 2026