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Qwen3 235B A22B by unsloth

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  Arxiv:2309.00071   Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-235b-a22...   Conversational   Endpoints compatible   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-235B-A22B 

Qwen3 235B A22B Benchmarks

LLME Score: 0.27615
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 235B A22B (unsloth/Qwen3-235B-A22B)
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Qwen3 235B A22B Parameters and Internals

LLM NameQwen3 235B A22B
Repository 🤗https://huggingface.co/unsloth/Qwen3-235B-A22B 
Base Model(s)  Qwen3 235B A22B   Qwen/Qwen3-235B-A22B
Model Size235b
Required VRAM171.9 GB
Updated2025-07-29
Maintainerunsloth
Model Typeqwen3_moe
Model Files  4.0 GB: 1-of-118   4.0 GB: 2-of-118   4.0 GB: 3-of-118   4.0 GB: 4-of-118   4.0 GB: 5-of-118   4.0 GB: 6-of-118   4.0 GB: 7-of-118   4.0 GB: 8-of-118   4.0 GB: 9-of-118   4.0 GB: 10-of-118   4.0 GB: 11-of-118   4.0 GB: 12-of-118   4.0 GB: 13-of-118   4.0 GB: 14-of-118   4.0 GB: 15-of-118   4.0 GB: 16-of-118   4.0 GB: 17-of-118   4.0 GB: 18-of-118   4.0 GB: 19-of-118   4.0 GB: 20-of-118   4.0 GB: 21-of-118   4.0 GB: 22-of-118   4.0 GB: 23-of-118   3.9 GB: 24-of-118   4.0 GB: 25-of-118   4.0 GB: 26-of-118   4.0 GB: 27-of-118   4.0 GB: 28-of-118   4.0 GB: 29-of-118   4.0 GB: 30-of-118   4.0 GB: 31-of-118   4.0 GB: 32-of-118   4.0 GB: 33-of-118   4.0 GB: 34-of-118   4.0 GB: 35-of-118   4.0 GB: 36-of-118   4.0 GB: 37-of-118   4.0 GB: 38-of-118   4.0 GB: 39-of-118   4.0 GB: 40-of-118   4.0 GB: 41-of-118   4.0 GB: 42-of-118   4.0 GB: 43-of-118
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Vocabulary Size151936
Torch Data Typebfloat16

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Qwen3 235B A22B INT4 W4A1640K / 123.2 GB102510
Qwen3 235B A22B MLX Bf1640K / 229.6 GB3033
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3-235B-A22B.

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