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SEVENLLM Qwen1.5 7B by Multilingual-Multimodal-NLP

 »  All LLMs  »  Multilingual-Multimodal-NLP  »  SEVENLLM Qwen1.5 7B   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Multilingual-Multimodal-NLP/SEVENLLM-Qwen1.5-7B 

SEVENLLM Qwen1.5 7B Benchmarks

LLME Score: 0.19447
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SEVENLLM Qwen1.5 7B (Multilingual-Multimodal-NLP/SEVENLLM-Qwen1.5-7B)

SEVENLLM Qwen1.5 7B Parameters and Internals

LLM NameSEVENLLM Qwen1.5 7B
Repository 🤗https://huggingface.co/Multilingual-Multimodal-NLP/SEVENLLM-Qwen1.5-7B 
Model Size7b
Required VRAM31 GB
Updated2025-02-22
MaintainerMultilingual-Multimodal-NLP
Model Typeqwen2
Model Files  5.0 GB: 1-of-7   5.0 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   4.9 GB: 5-of-7   3.8 GB: 6-of-7   2.5 GB: 7-of-7
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Multilingual-Multimodal-NLP/SEVENLLM-Qwen1.5-7B.

Rank the SEVENLLM Qwen1.5 7B 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 v20241227
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