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Llama 3 8B Python5K 4bit0.1 by balrogbob

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Llama 3 8B Python5K 4bit0.1 Benchmarks

LLME Score: 0.2414
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 8B Python5K 4bit0.1 Parameters and Internals

Model Type 
text generation
Additional Notes 
Trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (full proficiency)
LLM NameLlama 3 8B Python5K 4bit0.1
Repository 🤗https://huggingface.co/balrogbob/llama-3-8B-python5K_4bit0.1 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM7.8 GB
Updated2024-11-21
Maintainerbalrogbob
Model Typellama
Model Files  5.0 GB: 1-of-2   2.8 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typefloat32
Llama 3 8B Python5K 4bit0.1 (balrogbob/llama-3-8B-python5K_4bit0.1)

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Rank the Llama 3 8B Python5K 4bit0.1 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 v20241110
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