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Qwen2 7B Instruct Mistral by Minami-su

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  Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Llama   Mistral   Pytorch   Qwen2   Region:us   Sharded   Zh

Qwen2 7B Instruct Mistral Benchmarks

LLME Score: 0.22763
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 Parameters and Internals

LLM NameQwen2 7B Instruct Mistral
Repository 🤗https://huggingface.co/Minami-su/Qwen2-7B-Instruct-mistral 
Model Size7b
Required VRAM15.2 GB
Updated2024-09-07
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
Qwen2 7B Instruct Mistral (Minami-su/Qwen2-7B-Instruct-mistral)

Best Alternatives to Qwen2 7B Instruct Mistral

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Context / RAM
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Likes
Llama 2 7B 32K Instruct32K / 13.5 GB12856160
Qwen2 7B Instruct Llama32K / 15.2 GB42
AIRIC The Mistral32K / 14.4 GB6757
...ls Vikhr 7B Instruct 0.4 4bits32K / 5.2 GB50
Vikhr 7B Instruct 0.332K / 14.6 GB394
... Samantha Philosopher 7B Slerp32K / 13.4 GB42
Vikhr 7B Instruct Merged32K / 14.6 GB44
Clinical Ehr Prototype 0.132K / 14.4 GB142
...stral 7B Instruct V0.1 Sharded32K / 14.4 GB154413
... Llama2 7B 32K Instructions V232K / 13.5 GB141
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

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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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Release v2024072803
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