Code Bagel Llama 3 8B V1.1 by jlancaster36

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  Autotrain compatible Base model:finetune:mattshumer... Base model:mattshumer/llama-3-...   En   Endpoints compatible   Llama   Pytorch   Region:us   Sft   Sharded   Trl   Unsloth

Code Bagel Llama 3 8B V1.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Code Bagel Llama 3 8B V1.1 (jlancaster36/code_bagel_llama-3-8b-v1.1)

Code Bagel Llama 3 8B V1.1 Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This model incorporates the Unsloth training library to achieve faster training times.
Supported Languages 
en (English)
Training Details 
Methodology:
The model was trained using the Unsloth library and Huggingface's TRL library, achieving a 2x speedup in training.
Context Length:
16000
LLM NameCode Bagel Llama 3 8B V1.1
Repository ๐Ÿค—https://huggingface.co/jlancaster36/code_bagel_llama-3-8b-v1.1 
Base Model(s)  Llama 3 8B 16K   mattshumer/Llama-3-8B-16K
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainerjlancaster36
Model Typellama
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
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16000
Model Max Length16000
Transformers Version4.42.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than jlancaster36/code_bagel_llama-3-8b-v1.1.

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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 v20241227