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Qwen2 7B Instruct Boku V3 by Akimite

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Ja   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Akimite/Qwen2-7b-Instruct-Boku-v3 

Qwen2 7B Instruct Boku V3 Benchmarks

LLME Score: 0.19274
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 Boku V3 (Akimite/Qwen2-7b-Instruct-Boku-v3)

Qwen2 7B Instruct Boku V3 Parameters and Internals

Model Type 
instruct, text generation
Supported Languages 
ja (native)
Input Output 
Input Format:
text prompts
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use settings such as max_length=200, do_sample=True, top_p=0.8, temperature=0.7, and repetition_penalty=1.1 for better outputs.
LLM NameQwen2 7B Instruct Boku V3
Repository 🤗https://huggingface.co/Akimite/Qwen2-7b-Instruct-Boku-v3 
Model Size7b
Required VRAM15.2 GB
Updated2025-02-22
MaintainerAkimite
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesja
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
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 Akimite/Qwen2-7b-Instruct-Boku-v3.

Rank the Qwen2 7B Instruct Boku V3 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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