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Qwen3.5 122B A10B Int4 AutoRound by Intel

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Qwen3.5 122B A10B Int4 AutoRound is an open-source language model by Intel. Features: 122b LLM, VRAM: 72GB, LLM Explorer Score: 0.34.

  Arxiv:2309.05516   4-bit   Auto-round Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-122b-a...   Qwen3 5 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Intel/Qwen3.5-122B-A10B-int4-AutoRound 

Qwen3.5 122B A10B Int4 AutoRound Benchmarks

LLME Score: 0.33734
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.5 122B A10B Int4 AutoRound (Intel/Qwen3.5-122B-A10B-int4-AutoRound)

Qwen3.5 122B A10B Int4 AutoRound Parameters and Internals

LLM NameQwen3.5 122B A10B Int4 AutoRound
Repository 🤗https://huggingface.co/Intel/Qwen3.5-122B-A10B-int4-AutoRound 
Base Model(s)  Qwen/Qwen3.5-122B-A10B   Qwen/Qwen3.5-122B-A10B
Model Size122b
Required VRAM72 GB
Updated2026-07-24
MaintainerIntel
Model Typeqwen3_5_moe
Model Files  5.4 GB: 1-of-14   5.4 GB: 2-of-14   5.4 GB: 3-of-14   5.4 GB: 4-of-14   5.4 GB: 5-of-14   5.4 GB: 6-of-14   5.4 GB: 7-of-14   5.4 GB: 8-of-14   5.4 GB: 9-of-14   5.4 GB: 10-of-14   5.4 GB: 11-of-14   5.2 GB: 12-of-14   5.4 GB: 13-of-14   2.0 GB: 14-of-14   5.0 GB
Model ArchitectureQwen3_5MoeForConditionalGeneration
Model Max Length262144
Transformers Version5.2.0
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Intel/Qwen3.5-122B-A10B-int4-AutoRound.

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