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Qwen3 235B A22B Instruct 2507 8bit by mlx-community

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Qwen3 235B A22B Instruct 2507 8bit is an open-source language model by mlx-community. Features: 235b LLM, VRAM: 227.7GB, Context: 256K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.25.

  8-bit   8bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-235b-a22...   Conversational   Instruct   Mlx   Quantized   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-235B-A22B-Instruct-2507-8bit 

Qwen3 235B A22B Instruct 2507 8bit Benchmarks

LLME Score: 0.24532
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 Instruct 2507 8bit (mlx-community/Qwen3-235B-A22B-Instruct-2507-8bit)
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Qwen3 235B A22B Instruct 2507 8bit Parameters and Internals

LLM NameQwen3 235B A22B Instruct 2507 8bit
Repository 🤗https://huggingface.co/mlx-community/Qwen3-235B-A22B-Instruct-2507-8bit 
Base Model(s)  Qwen3 235B A22B Instruct 2507   Qwen/Qwen3-235B-A22B-Instruct-2507
Model Size235b
Required VRAM227.7 GB
Updated2026-04-13
Maintainermlx-community
Model Typeqwen3_moe
Instruction-BasedYes
Model Files  5.1 GB: 1-of-48   5.3 GB: 2-of-48   5.3 GB: 3-of-48   5.3 GB: 4-of-48   5.3 GB: 5-of-48   5.3 GB: 6-of-48   5.3 GB: 7-of-48   5.3 GB: 8-of-48   5.3 GB: 9-of-48   5.3 GB: 10-of-48   5.3 GB: 11-of-48   5.3 GB: 12-of-48   5.3 GB: 13-of-48   5.3 GB: 14-of-48   5.3 GB: 15-of-48   5.3 GB: 16-of-48   5.3 GB: 17-of-48   5.3 GB: 18-of-48   5.3 GB: 19-of-48   5.3 GB: 20-of-48   5.3 GB: 21-of-48   5.3 GB: 22-of-48   5.3 GB: 23-of-48   5.3 GB: 24-of-48   5.3 GB: 25-of-48   5.3 GB: 26-of-48   5.3 GB: 27-of-48   5.3 GB: 28-of-48   5.3 GB: 29-of-48   5.3 GB: 30-of-48   5.3 GB: 31-of-48   5.3 GB: 32-of-48   5.3 GB: 33-of-48   5.3 GB: 34-of-48   5.3 GB: 35-of-48   5.3 GB: 36-of-48   5.3 GB: 37-of-48   5.3 GB: 38-of-48   5.3 GB: 39-of-48   5.3 GB: 40-of-48   5.3 GB: 41-of-48   5.3 GB: 42-of-48   5.3 GB: 43-of-48
Quantization Type8bit
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.51.0
Vocabulary Size151936
Torch Data Typebfloat16

Quantized Models of the Qwen3 235B A22B Instruct 2507 8bit

Model
Likes
Downloads
VRAM
...5B A22B Instruct 2507 3bit DWQ540103 GB
...5B A22B Instruct 2507 4bit DWQ257131 GB

Best Alternatives to Qwen3 235B A22B Instruct 2507 8bit

Best Alternatives
Context / RAM
Downloads
Likes
...3 235B A22B Instruct 2507 4bit256K / 131.4 GB39953
...5B A22B Instruct 2507 3bit DWQ256K / 103 GB405
...5B A22B Instruct 2507 4bit DWQ256K / 131.4 GB572
...en3 235B A22B Instruct 2507 1M986K / 171.9 GB121
Qwen3 235B A22B Instruct 2507256K / 171.9 GB183785772
Qwen3 235B A22B Instruct 2507256K / 167.9 GB989
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB239764147
... 235B A22B Instruct 2507 NVFP4256K / 139.2 GB38826
...n3 235B A22B Instruct 2507 AWQ256K / 124.1 GB16974
...n3 235B A22B Instruct 2507 FP8256K / 236.5 GB373
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-235B-A22B-Instruct-2507-8bit.

Rank the Qwen3 235B A22B Instruct 2507 8bit Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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