Shed Coder 0.2 by VortexHunter23

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  4-bit   4bit   Autotrain compatible   Bitsandbytes   Codegen   Conversational   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Shed Coder 0.2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Shed Coder 0.2 (VortexHunter23/Shed-Coder-0.2)

Shed Coder 0.2 Parameters and Internals

LLM NameShed Coder 0.2
Repository ๐Ÿค—https://huggingface.co/VortexHunter23/Shed-Coder-0.2 
Base Model(s)  unsloth/deepseek-r1-distill-qwen-14b-bnb-4bit   unsloth/deepseek-r1-distill-qwen-14b-bnb-4bit
Model Size14b
Required VRAM9.9 GB
Updated2025-06-01
MaintainerVortexHunter23
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   4.9 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassLlamaTokenizerFast
Padding Token<|vision_pad|>
Vocabulary Size152064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than VortexHunter23/Shed-Coder-0.2.

Rank the Shed Coder 0.2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227