Chinese Mixtral Instruct by hfl

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  Arxiv:2403.01851   Autotrain compatible   En   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow   Zh

Chinese Mixtral Instruct Benchmarks

Chinese Mixtral Instruct (hfl/chinese-mixtral-instruct)

Chinese Mixtral Instruct Parameters and Internals

Model Type 
instruction, chat
Use Cases 
Primary Use Cases:
conversation, QA
Additional Notes 
This model is designed for instruction-following or chat purposes, built on Mixtral-8x7B-v0.1 and further tuned with instruction data.
Supported Languages 
zh (Chinese), en (English)
LLM NameChinese Mixtral Instruct
Repository ๐Ÿค—https://huggingface.co/hfl/chinese-mixtral-instruct 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-02-22
Maintainerhfl
Model Typemixtral
Instruction-BasedYes
Model Files  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 Languageszh en
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than hfl/chinese-mixtral-instruct.

Rank the Chinese Mixtral Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227