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Qwen1.5 14B Chat Mistral by Minami-su

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  Autotrain compatible   Conversational   En   Mistral   Pytorch   Qwen   Qwen1.5   Qwen2   Region:us   Sharded   Zh

Qwen1.5 14B Chat Mistral Benchmarks

LLME Score: 0.19773
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen1.5 14B Chat Mistral Parameters and Internals

LLM NameQwen1.5 14B Chat Mistral
Repository 🤗https://huggingface.co/Minami-su/Qwen1.5-14B-Chat_mistral 
Model Size14b
Required VRAM28.6 GB
Updated2024-09-07
MaintainerMinami-su
Model Typemistral
Model Files  2.0 GB: 1-of-15   2.0 GB: 2-of-15   2.0 GB: 3-of-15   2.0 GB: 4-of-15   2.0 GB: 5-of-15   1.1 GB: 6-of-15   2.0 GB: 7-of-15   2.0 GB: 8-of-15   2.0 GB: 9-of-15   2.0 GB: 10-of-15   2.0 GB: 11-of-15   1.9 GB: 12-of-15   1.9 GB: 13-of-15   2.0 GB: 14-of-15   1.7 GB: 15-of-15
Supported Languagesen zh
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Qwen1.5 14B Chat Mistral (Minami-su/Qwen1.5-14B-Chat_mistral)

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Note: green Score (e.g. "73.2") means that the model is better than Minami-su/Qwen1.5-14B-Chat_mistral.

Rank the Qwen1.5 14B Chat 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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