LeoPARD Coder 0.1 by VortexHunter23

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  4-bit   Autotrain compatible Base model:agentica-org/deepco... Base model:quantized:agentica-...   Bitsandbytes   Codegen   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

LeoPARD Coder 0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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LeoPARD Coder 0.1 Parameters and Internals

LLM NameLeoPARD Coder 0.1
Repository ๐Ÿค—https://huggingface.co/VortexHunter23/LeoPARD-Coder-0.1 
Base Model(s)  DeepCoder 14B Preview   agentica-org/DeepCoder-14B-Preview
Model Size14b
Required VRAM9.9 GB
Updated2025-06-09
MaintainerVortexHunter23
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   4.9 GB: 2-of-2
Supported Languagesen
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
LeoPARD Coder 0.1 (VortexHunter23/LeoPARD-Coder-0.1)

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Note: green Score (e.g. "73.2") means that the model is better than VortexHunter23/LeoPARD-Coder-0.1.

Rank the LeoPARD Coder 0.1 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