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Qwen2 7B Instruct Mistral by Minami-su

 »  All LLMs  »  Minami-su  »  Qwen2 7B Instruct Mistral   URL Share it on

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  Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Llama   Mistral   Pytorch   Qwen2   Region:us   Sharded   Zh
Model Card on HF 🤗: https://huggingface.co/Minami-su/Qwen2-7B-Instruct-mistral 

Qwen2 7B Instruct Mistral Benchmarks

LLME Score: 0.19201
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B Instruct Mistral (Minami-su/Qwen2-7B-Instruct-mistral)

Qwen2 7B Instruct Mistral Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
text generation
Primary Use Cases:
chatbots, content creation
Limitations:
hardware modification required, specific software compatibility
Considerations:
Verify software modifications are correctly implemented.
Additional Notes 
Ensure all code modifications are followed correctly for desired performance.
Supported Languages 
en (High), zh (High)
Input Output 
Input Format:
Chat messages with a specific template
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Modify the appropriate software files for optimal performance.
LLM NameQwen2 7B Instruct Mistral
Repository 🤗https://huggingface.co/Minami-su/Qwen2-7B-Instruct-mistral 
Model Size7b
Required VRAM15.2 GB
Updated2025-02-22
MaintainerMinami-su
Model Typellama
Instruction-BasedYes
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   1.6 GB: 8-of-8
Supported Languagesen zh
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2 7B Instruct Mistral

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Jessi V0.3 Falcon3 7B Instruct32K / 14.8 GB170
Falcon3 Ultraset32K / 14.8 GB130
Note: green Score (e.g. "73.2") means that the model is better than Minami-su/Qwen2-7B-Instruct-mistral.

Rank the Qwen2 7B Instruct Mistral 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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Release v20241227
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