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Mixtral 8x22B Instruct V0.1 FP8 by neuralmagic

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  Compressed-tensors   En   Fp8   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow   Vllm
Model Card on HF 🤗: https://huggingface.co/RedHatAI/Mixtral-8x22B-Instruct-v0.1-FP8 

Mixtral 8x22B Instruct V0.1 FP8 Benchmarks

LLME Score: 0.21204
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x22B Instruct V0.1 FP8 (RedHatAI/Mixtral-8x22B-Instruct-v0.1-FP8)
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Mixtral 8x22B Instruct V0.1 FP8 Parameters and Internals

LLM NameMixtral 8x22B Instruct V0.1 FP8
Repository 🤗https://huggingface.co/RedHatAI/Mixtral-8x22B-Instruct-v0.1-FP8 
Model Size140.6b
Required VRAM140.9 GB
Updated2025-10-18
Maintainerneuralmagic
Model Typemixtral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-29   4.9 GB: 2-of-29   4.9 GB: 3-of-29   4.9 GB: 4-of-29   4.9 GB: 5-of-29   4.9 GB: 6-of-29   4.9 GB: 7-of-29   4.9 GB: 8-of-29   4.9 GB: 9-of-29   4.9 GB: 10-of-29   4.9 GB: 11-of-29   4.9 GB: 12-of-29   4.9 GB: 13-of-29   4.9 GB: 14-of-29   4.9 GB: 15-of-29   4.9 GB: 16-of-29   4.9 GB: 17-of-29   4.9 GB: 18-of-29   4.9 GB: 19-of-29   4.9 GB: 20-of-29   5.0 GB: 21-of-29   5.0 GB: 22-of-29   5.0 GB: 23-of-29   4.9 GB: 24-of-29   4.9 GB: 25-of-29   4.9 GB: 26-of-29   4.9 GB: 27-of-29   4.9 GB: 28-of-29   3.4 GB: 29-of-29
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.49.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16

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Mixtral 8x22B Instruct V0.164K / 221.4 GB10978734
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...x22B Instruct V0.1 FP8 Dynamic64K / 140.9 GB220
...ral 8x22B Instruct V0.1 FP8 V264K / 140.9 GB90
...ral 8x22B Instruct V0.1 FP8 V164K / 140.9 GB70
Mixtral 8x22B GO Instruct V164K / 280.8 GB52
Mixtral 8x22b Instruct Oh64K / 221.6 GB1329
Mixtral 8x22B Instruct V0.164K / 221.4 GB51
Goku 8x22B V0.264K / 211.2 GB76
Note: green Score (e.g. "73.2") means that the model is better than RedHatAI/Mixtral-8x22B-Instruct-v0.1-FP8.

Rank the Mixtral 8x22B Instruct V0.1 FP8 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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Release v20241124
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