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Qwen2.5 7B Instruct V1.2 by homeb82784

 »  All LLMs  »  homeb82784  »  Qwen2.5 7B Instruct V1.2   URL Share it on

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  Arxiv:1910.09700   4bit   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Krx   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/homeb82784/qwen2.5-7b-instruct-v1.2 

Qwen2.5 7B Instruct V1.2 Benchmarks

LLME Score: 0.23748
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 7B Instruct V1.2 (homeb82784/qwen2.5-7b-instruct-v1.2)

Qwen2.5 7B Instruct V1.2 Parameters and Internals

LLM NameQwen2.5 7B Instruct V1.2
Repository 🤗https://huggingface.co/homeb82784/qwen2.5-7b-instruct-v1.2 
Model Size7b
Required VRAM15.2 GB
Updated2025-02-05
Maintainerhomeb82784
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
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 7B Instruct 1M 4bit986K / 4.3 GB4216
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Note: green Score (e.g. "73.2") means that the model is better than homeb82784/qwen2.5-7b-instruct-v1.2.

Rank the Qwen2.5 7B Instruct V1.2 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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