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Qwen2.5 7B Instruct 20241204 114939 by qfq

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Conversational   Endpoints compatible   Generated from trainer   Instruct   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/qfq/Qwen2.5-7B-Instruct-20241204-114939 

Qwen2.5 7B Instruct 20241204 114939 Benchmarks

LLME Score: 0.2135
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 20241204 114939 (qfq/Qwen2.5-7B-Instruct-20241204-114939)

Qwen2.5 7B Instruct 20241204 114939 Parameters and Internals

LLM NameQwen2.5 7B Instruct 20241204 114939
Repository 🤗https://huggingface.co/qfq/Qwen2.5-7B-Instruct-20241204-114939 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM30.5 GB
Updated2025-06-01
Maintainerqfq
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-7   4.8 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   5.0 GB: 5-of-7   3.7 GB: 6-of-7   2.2 GB: 7-of-7   0.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than qfq/Qwen2.5-7B-Instruct-20241204-114939.

Rank the Qwen2.5 7B Instruct 20241204 114939 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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