Qwen3 235B A22B AWQ by cognitivecomputations

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  Arxiv:2309.00071   4-bit   Autotrain compatible   Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen3-235b-a22...   Conversational   Endpoints compatible   Quantized   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow

Qwen3 235B A22B AWQ Benchmarks

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 AWQ (cognitivecomputations/Qwen3-235B-A22B-AWQ)

Qwen3 235B A22B AWQ Parameters and Internals

LLM NameQwen3 235B A22B AWQ
Repository ๐Ÿค—https://huggingface.co/cognitivecomputations/Qwen3-235B-A22B-AWQ 
Base Model(s)  Qwen3 235B A22B   Qwen/Qwen3-235B-A22B
Model Size235b
Required VRAM124.1 GB
Updated2025-05-17
Maintainercognitivecomputations
Model Typeqwen3_moe
Model Files  5.0 GB: 1-of-25   5.0 GB: 2-of-25   5.0 GB: 3-of-25   5.0 GB: 4-of-25   5.0 GB: 5-of-25   5.0 GB: 6-of-25   5.0 GB: 7-of-25   5.0 GB: 8-of-25   5.0 GB: 9-of-25   5.0 GB: 10-of-25   5.0 GB: 11-of-25   5.0 GB: 12-of-25   5.0 GB: 13-of-25   5.0 GB: 14-of-25   5.0 GB: 15-of-25   5.0 GB: 16-of-25   5.0 GB: 17-of-25   5.0 GB: 18-of-25   5.0 GB: 19-of-25   5.0 GB: 20-of-25   5.0 GB: 21-of-25   5.0 GB: 22-of-25   5.0 GB: 23-of-25   5.0 GB: 24-of-25   4.1 GB: 25-of-25
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Qwen3 235B A22B 4bit40K / 131.4 GB9296
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Qwen3 235B A22B 128K GGUF128K /  GB30439826
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Qwen3 235B A22B GPTQ Int440K / 124.5 GB13328
Qwen3 235B A22B INT4 W4A1640K / 123.2 GB41856
Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/Qwen3-235B-A22B-AWQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227