Qwen2.5 Coder 0.5B QwQ Draft by tugstugi

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Codegen   Conversational Dataset:powerinfer/qwq-longcot...   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors

Qwen2.5 Coder 0.5B QwQ Draft Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Coder 0.5B QwQ Draft (tugstugi/Qwen2.5-Coder-0.5B-QwQ-draft)
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Qwen2.5 Coder 0.5B QwQ Draft Parameters and Internals

LLM NameQwen2.5 Coder 0.5B QwQ Draft
Repository ๐Ÿค—https://huggingface.co/tugstugi/Qwen2.5-Coder-0.5B-QwQ-draft 
Base Model(s)  Qwen/Qwen2.5-Coder-0.5B-Instruct   Qwen/Qwen2.5-Coder-0.5B-Instruct
Model Size0.5b
Required VRAM2 GB
Updated2025-09-10
Maintainertugstugi
Model Typeqwen2
Instruction-BasedYes
Model Files  2.0 GB
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

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Qwen2.5 Coder 0.5B Instruct32K / 1 GB80
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...nstruct MIFT En Manywords 800032K / 2 GB80
...truct PIFT Enja Manywords 800032K / 2 GB80
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...nstruct MIFT Ja Manywords 400032K / 2 GB70
Note: green Score (e.g. "73.2") means that the model is better than tugstugi/Qwen2.5-Coder-0.5B-QwQ-draft.

Rank the Qwen2.5 Coder 0.5B QwQ Draft 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124