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Mixtral 8x22B V0.1 by mistral-community

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Model Card on HF 🤗: https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1 

Mixtral 8x22B V0.1 Benchmarks

MMLU Pro: 39.85
GPQA: 17.11
MUSR: 14.72
BBH: 47.5
IFEval: 65.11 vs 88 (so35)-26%
ARC: 70.48 vs 96.7 (so35)-27.1%
HellaSwag: 88.73 vs 95.3 (gpt4)-6.9%
MMLU: 77.81 vs 88.3 (so35)-11.9%
TruthfulQA: 51.08 vs 59 (gpt4)-13.4%
WinoGrande: 84.53 vs 87.5 (gpt4)-3.4%
GSM8K: 74.15 vs 96.4 (so35)-23.1%
MATH Lvl 5: 20.09
LLME Score: 0.40518
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x22B V0.1 (mistral-community/Mixtral-8x22B-v0.1)

Mixtral 8x22B V0.1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Mixtral-8x22B is a pretrained generative Sparse Mixture of Experts LLM.
LLM NameMixtral 8x22B V0.1
Repository 🤗https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1 
Model Size140.6b
Required VRAM212 GB
Updated2024-12-26
Maintainermistral-community
Model Typemixtral
Model Files  5.0 GB: 1-of-59   4.8 GB: 2-of-59   4.8 GB: 3-of-59   4.8 GB: 4-of-59   4.8 GB: 5-of-59   4.8 GB: 6-of-59   4.8 GB: 7-of-59   4.8 GB: 8-of-59   4.8 GB: 9-of-59   4.8 GB: 10-of-59   4.8 GB: 11-of-59   4.8 GB: 12-of-59   4.8 GB: 13-of-59   4.8 GB: 14-of-59   4.8 GB: 15-of-59   4.8 GB: 16-of-59   4.8 GB: 17-of-59   4.8 GB: 18-of-59   4.8 GB: 19-of-59   4.8 GB: 20-of-59   4.8 GB: 21-of-59   4.8 GB: 22-of-59   4.8 GB: 23-of-59   4.9 GB: 24-of-59   5.0 GB: 25-of-59   5.0 GB: 26-of-59   4.9 GB: 27-of-59   4.8 GB: 28-of-59   4.8 GB: 29-of-59   4.8 GB: 30-of-59   4.8 GB: 31-of-59   4.8 GB: 32-of-59   4.8 GB: 33-of-59   4.8 GB: 34-of-59   4.8 GB: 35-of-59   4.8 GB: 36-of-59   4.8 GB: 37-of-59   4.8 GB: 38-of-59   4.8 GB: 39-of-59   4.8 GB: 40-of-59   4.8 GB: 41-of-59   4.8 GB: 42-of-59   4.8 GB: 43-of-59   4.8 GB: 44-of-59
Supported Languagesfr it de es en
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.40.0.dev0
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Mixtral 8x22B V0.1

Model
Likes
Downloads
VRAM
...2 Mixtral 8x22b 6.0bpw H8 EXL2110105 GB
...2 Mixtral 8x22b 8.0bpw H8 EXL2211125 GB
...ephyr Orpo 141B A35b V0.1 GGUF03384 GB
WizardLM2 2bit01554 GB
...8x22b Instruct Oh EXL2 2.25bpw11040 GB

Best Alternatives to Mixtral 8x22B V0.1

Best Alternatives
Context / RAM
Downloads
Likes
Mixtral 8x22B Instruct V0.164K / 221.4 GB3067565696
Mixtral 8x22B V0.164K / 221.6 GB2945835202
Zephyr Orpo 141B A35b V0.164K / 207.2 GB220262
WizardLM 2 8x22B64K / 216.8 GB9327390
Mixtral 8x22B V0.364K / 221.4 GB3103
XLAM 8x22b R64K / 211.8 GB205841
Dolphin 2.9.2 Mixtral 8x22b64K / 207.2 GB41036
...ixtral 8x22B Instruct V0.1 FP864K / 140.9 GB5252
Mixtral 8x22B V0.164K / 212 GB24141
WizardLM 2 8x22B Beige64K / 221.4 GB773
Note: green Score (e.g. "73.2") means that the model is better than mistral-community/Mixtral-8x22B-v0.1.

Rank the Mixtral 8x22B V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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