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Qwen2.5 CoderX 7B V0.5 by oscar128372

 »  All LLMs  »  oscar128372  »  Qwen2.5 CoderX 7B V0.5   URL Share it on

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  4bit   Algorithm-design   Autotrain compatible   Code-generation   Codegen   Conversational   En   Endpoints compatible   Finetuned   Instruct   Instruction-following   Physics-simulation   Python   Pytorch   Quantized   Qwen2   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/oscar128372/Qwen2.5-CoderX-7B-v0.5 

Qwen2.5 CoderX 7B V0.5 Benchmarks

LLME Score: 0.31598
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 CoderX 7B V0.5 (oscar128372/Qwen2.5-CoderX-7B-v0.5)

Qwen2.5 CoderX 7B V0.5 Parameters and Internals

LLM NameQwen2.5 CoderX 7B V0.5
Repository 🤗https://huggingface.co/oscar128372/Qwen2.5-CoderX-7B-v0.5 
Base Model(s)  unsloth/qwen2.5-coder-7b-instruct-bnb-4bit   unsloth/qwen2.5-coder-7b-instruct-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2025-06-01
Maintaineroscar128372
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 Languagesen
Quantization Type4bit
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Qwen2.5 7B Rebase986K / 15.2 GB82
StockQwen 2.5 7B128K / 15.2 GB365

Rank the Qwen2.5 CoderX 7B V0.5 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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