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Qwen3 235B A22B Thinking 2507 FP8 by unsloth

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Qwen3 235B A22B Thinking 2507 FP8 is an open-source language model by unsloth. Features: 235b LLM, VRAM: 236.5GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.2.

  Arxiv:2505.09388 Base model:quantized:qwen/qwen... Base model:qwen/qwen3-235b-a22...   Conversational   Endpoints compatible   Fp8   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-235B-A22B-Thinking-2507-FP8 

Qwen3 235B A22B Thinking 2507 FP8 Benchmarks

LLME Score: 0.19501
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 Thinking 2507 FP8 (unsloth/Qwen3-235B-A22B-Thinking-2507-FP8)
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Qwen3 235B A22B Thinking 2507 FP8 Parameters and Internals

LLM NameQwen3 235B A22B Thinking 2507 FP8
Repository 🤗https://huggingface.co/unsloth/Qwen3-235B-A22B-Thinking-2507-FP8 
Base Model(s)  ...n3 235B A22B Thinking 2507 FP8   Qwen/Qwen3-235B-A22B-Thinking-2507-FP8
Model Size235b
Required VRAM236.5 GB
Updated2026-06-08
Maintainerunsloth
Model Typeqwen3_moe
Model Files  10.0 GB: 1-of-24   10.0 GB: 2-of-24   10.0 GB: 3-of-24   10.0 GB: 4-of-24   10.0 GB: 5-of-24   10.0 GB: 6-of-24   10.0 GB: 7-of-24   10.0 GB: 8-of-24   10.0 GB: 9-of-24   10.0 GB: 10-of-24   10.0 GB: 11-of-24   10.0 GB: 12-of-24   10.0 GB: 13-of-24   10.0 GB: 14-of-24   10.0 GB: 15-of-24   10.0 GB: 16-of-24   10.0 GB: 17-of-24   10.0 GB: 18-of-24   10.0 GB: 19-of-24   10.0 GB: 20-of-24   10.0 GB: 21-of-24   10.0 GB: 22-of-24   10.0 GB: 23-of-24   6.5 GB: 24-of-24
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.53.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3-235B-A22B-Thinking-2507-FP8.

Rank the Qwen3 235B A22B Thinking 2507 FP8 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Text Summarization and Feature Extraction  
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