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Mixtral 8x7B V0.1 by mistralai

 »  All LLMs  »  mistralai  »  Mixtral 8x7B V0.1   URL Share it on

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  Merged Model   Autotrain compatible   De   En   Endpoints compatible   Es   Fr   It   License:apache-2.0   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Mixtral 8x7B V0.1 Benchmarks

HF Avg Score: 65.81  vs  86.1  (GPT-4) -23.6%
ARC: 64.33-33.2%
HellaSwag: 85.7-10.1%
MMLU: 70.17-18.9%
TruthfulQA: 47.62-19.3%
WinoGrande: 80.19-8.4%
GSM8K: 46.85-49.1%
OpenCompass Avg: 59.6  vs  73.3  (GPT-4) -18.7%
Exam: 72.7-5.8%
Language: 45.2-27.1%
Knowledge: 63.2-14%
Understanding: 68-2.9%
Reasoning: 55.9-24.9%
nn.n% — How the model compares to the GPT-4.

Rank the Mixtral 8x7B V0.1 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  
Mixtral 8x7B V0.1 (mistralai/Mixtral-8x7B-v0.1)

Quantized Models of the Mixtral 8x7B V0.1

Model
Likes
Downloads
VRAM
Mixtral 8x7B V0.1 GGUF4151016515 GB
Mixtral 8x7B V0.1 GPTQ125228423 GB
...Hermes 2 Mixtral 8x7B DPO 4bit171110 GB
Mixtral 8x7b V0.1 AWQ1088324 GB
...ixtral 8x7B DPO 5.0bpw H6 EXL27529 GB
... 8x7B DPO 3.7bpw H6 EXL2 Rpcal4221 GB
...ralRPChat ZLoss 3.5bpw H6 EXL24120 GB
...hon Mixtral V1.3.75bpw H6 EXL23322 GB
Mixtral 8x7B V0.1 Int8 GPTQ240 GB
...ixtral 8x7B SFT 6.0bpw H6 EXL22235 GB

Best Alternatives to Mixtral 8x7B V0.1

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
Smaug Mixtral V0.175.4932K / 187.7 GB321312
BagelMIsteryTour V2 8x7B74.9532K / 93.5 GB135016
BagelMIsteryTour 8x7B74.6632K / 93.5 GB13504
Prokaryote 8x7B Bf1674.5332K / 93.5 GB20082
Mhm 8x7B FrankenMoE V1.074.0132K / 93.5 GB19722
Typhon Mixtral V173.8132K / 93.4 GB5307
UNAversal 8x7B V1beta73.7832K / 93.6 GB19278
Open Gpt4 8x7B V0.273.5932K / 93.5 GB19989
Mixtral 8x7B Instruct V0.1 DPO73.4432K / 93.6 GB19041
Franziska Mixtral V173.3632K / 93.5 GB14023
Note: green Score (e.g. "73.2") means that the model is better than mistralai/Mixtral-8x7B-v0.1.

Mixtral 8x7B V0.1 Parameters and Internals

LLM NameMixtral 8x7B V0.1
RepositoryOpen on 🤗 
Merged ModelYes
Model Size46.7b
Required VRAM93.6 GB
Updated2024-06-24
Maintainermistralai
Model Typemixtral
Model Files  12.1 GB   12.1 GB   12.1 GB   12.1 GB   12.1 GB   12.1 GB   12.1 GB   12.1 GB   4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagesfr it de es en
Gated ModelYes
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801
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