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Meta Llama 3.1 8B Instruct Python Coder by Solshine

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  4bit   Autotrain compatible Base model:finetune:unsloth/me... Base model:unsloth/meta-llama-...   Code   Conversational Dataset:yiran-wang3/cleaned-mi...   En   Endpoints compatible   Instruct   Llama   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth

Meta Llama 3.1 8B Instruct Python Coder Benchmarks

LLME Score: 0.24597
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Meta Llama 3.1 8B Instruct Python Coder Parameters and Internals

LLM NameMeta Llama 3.1 8B Instruct Python Coder
Repository 🤗https://huggingface.co/Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder 
Base Model(s)  unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit   unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2024-10-18
MaintainerSolshine
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen code
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16
Meta Llama 3.1 8B Instruct Python Coder (Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder)

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Rank the Meta Llama 3.1 8B Instruct Python Coder 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 v2024072803
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