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Puzzle Tools Llama3 by sebdg

 »  All LLMs  »  sebdg  »  Puzzle Tools Llama3   URL Share it on

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  4bit Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-...   Conversational   En   Endpoints compatible   Gguf   Instruct   Llama   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/sebdg/puzzle_tools_llama3 

Puzzle Tools Llama3 Benchmarks

LLME Score: 0.20741
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Puzzle Tools Llama3 (sebdg/puzzle_tools_llama3)

Puzzle Tools Llama3 Parameters and Internals

Model Type 
text generation
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (high)
LLM NamePuzzle Tools Llama3
Repository 🤗https://huggingface.co/sebdg/puzzle_tools_llama3 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM4.9 GB
Updated2024-12-26
Maintainersebdg
Model Typellama
Instruction-BasedYes
Model Files  16.1 GB   4.9 GB   5.7 GB   8.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than sebdg/puzzle_tools_llama3.

Rank the Puzzle Tools Llama3 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241217
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