Qwen2 7B Instruct Llama by Minami-su

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  Autotrain compatible   Chat   Conversational   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded

Qwen2 7B Instruct Llama Benchmarks

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 Llama (Minami-su/Qwen2-7B-Instruct-llama)

Qwen2 7B Instruct Llama Parameters and Internals

Model Type 
text generation
Supported Languages 
en (fluent)
Input Output 
Input Format:
chat template
Accepted Modalities:
text
Output Format:
text
LLM NameQwen2 7B Instruct Llama
Repository ๐Ÿค—https://huggingface.co/Minami-su/Qwen2-7B-Instruct-llama 
Model Size7b
Required VRAM15.2 GB
Updated2024-12-14
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
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

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Note: green Score (e.g. "73.2") means that the model is better than Minami-su/Qwen2-7B-Instruct-llama.

Rank the Qwen2 7B Instruct Llama Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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 v20241124