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LeoPARD Coder 0.8 by VortexHunter23

 »  All LLMs  »  VortexHunter23  »  LeoPARD Coder 0.8   URL Share it on

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  4-bit   Autotrain compatible Base model:quantized:vortexhun... Base model:vortexhunter23/leop...   Bitsandbytes   Codegen   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/VortexHunter23/LeoPARD-Coder-0.8 

LeoPARD Coder 0.8 Benchmarks

LLME Score: 0.27065
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 0.8 Parameters and Internals

LLM NameLeoPARD Coder 0.8
Repository 🤗https://huggingface.co/VortexHunter23/LeoPARD-Coder-0.8 
Base Model(s)  VortexHunter23/LeoPARD-Coder-0.7.4   VortexHunter23/LeoPARD-Coder-0.7.4
Model Size8.4b
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 Version4.52.4
Tokenizer ClassLlamaTokenizerFast
Padding Token<|vision_pad|>
Vocabulary Size152064
Torch Data Typebfloat16
LeoPARD Coder 0.8 (VortexHunter23/LeoPARD-Coder-0.8)

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Note: green Score (e.g. "73.2") means that the model is better than VortexHunter23/LeoPARD-Coder-0.8.

Rank the LeoPARD Coder 0.8 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 v20241124
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