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Mixtral Instruction V0.1 Zh Nf4 by xinping

 »  All LLMs  »  xinping  »  Mixtral Instruction V0.1 Zh Nf4   URL Share it on

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  4-bit   Autotrain compatible   Bitsandbytes   En   Endpoints compatible   Fr   Instruct   Mixtral   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/xinping/Mixtral-instruction-v0.1_zh-nf4 

Mixtral Instruction V0.1 Zh Nf4 Benchmarks

LLME Score: 0.18134
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral Instruction V0.1 Zh Nf4 (xinping/Mixtral-instruction-v0.1_zh-nf4)

Mixtral Instruction V0.1 Zh Nf4 Parameters and Internals

Model Type 
text generation
Additional Notes 
Users should be aware of the risks, biases, and limitations of the model.
Supported Languages 
zh (proficient), en (proficient), fr (proficient)
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NameMixtral Instruction V0.1 Zh Nf4
Repository 🤗https://huggingface.co/xinping/Mixtral-instruction-v0.1_zh-nf4 
Model Size24.2b
Required VRAM24.5 GB
Updated2025-02-22
Maintainerxinping
Model Typemixtral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   4.5 GB: 5-of-5
Supported Languageszh en fr
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than xinping/Mixtral-instruction-v0.1_zh-nf4.

Rank the Mixtral Instruction V0.1 Zh Nf4 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
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