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Qwen2.5 7B Formula 1K Base Final 1 Step280 by zhiyuanhucs

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Qwen2.5 7B Formula 1K Base Final 1 Step280 is an open-source language model by zhiyuanhucs. Features: 7b LLM, VRAM: 30.5GB, Context: 128K, LLM Explorer Score: 0.19.

  Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/zhiyuanhucs/qwen2.5-7B-formula-1k-base-final-1-step280 

Qwen2.5 7B Formula 1K Base Final 1 Step280 Benchmarks

LLME Score: 0.19444
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 Formula 1K Base Final 1 Step280 (zhiyuanhucs/qwen2.5-7B-formula-1k-base-final-1-step280)
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Qwen2.5 7B Formula 1K Base Final 1 Step280 Parameters and Internals

LLM NameQwen2.5 7B Formula 1K Base Final 1 Step280
Repository 🤗https://huggingface.co/zhiyuanhucs/qwen2.5-7B-formula-1k-base-final-1-step280 
Model Size7b
Required VRAM30.5 GB
Updated2025-09-20
Maintainerzhiyuanhucs
Model Typeqwen2
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
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

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Qwen2.5 7B Preview986K / 15.2 GB100
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Hush Qwen2.5 7B V1.1986K / 15.2 GB91
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Hush Qwen2.5 7B V1.3986K / 15.2 GB182
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB82
Qwen 2.5 7B Exp Sce986K / 15.2 GB22
Qwen2.5 7B MixStock V0.1986K / 15.2 GB63
Note: green Score (e.g. "73.2") means that the model is better than zhiyuanhucs/qwen2.5-7B-formula-1k-base-final-1-step280.

Rank the Qwen2.5 7B Formula 1K Base Final 1 Step280 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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