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Code Llama Bagel 8B by theprint

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Code Llama Bagel 8B is an open-source language model by theprint. Features: 8b LLM, VRAM: 16.1GB, License: llama3, Quantized, Merged, LLM Explorer Score: 0.18.

  Merged Model   Ajibawa-2023/code-llama-3-8b Base model:ajibawa-2023/code-l... Base model:jondurbin/bagel-8b-...   Conversational   Endpoints compatible   Gguf   Jondurbin/bagel-8b-v1.0   Llama   Model-index   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Theprint/code-llama-bagel-8b
Model Card on HF 🤗: https://huggingface.co/theprint/Code-Llama-Bagel-8B 

Code Llama Bagel 8B Benchmarks

MMLU Pro: 20.24
GPQA: 3.47
MUSR: 7.53
BBH: 25.34
IFEval: 25.3 vs 88 (so35)-71.3%
MATH Lvl 5: 6.12
LLME Score: 0.18343
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Code Llama Bagel 8B (theprint/Code-Llama-Bagel-8B)
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Code Llama Bagel 8B Parameters and Internals

LLM NameCode Llama Bagel 8B
Repository 🤗https://huggingface.co/theprint/Code-Llama-Bagel-8B 
Base Model(s)  Code Llama 3 8B   jondurbin/bagel-8b-v1.0   ajibawa-2023/Code-Llama-3-8B   jondurbin/bagel-8b-v1.0
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2026-04-07
Maintainertheprint
Model Typellama
Model Files  16.1 GB   4.0 GB   3.7 GB   4.9 GB   4.7 GB   5.7 GB   6.6 GB   8.5 GB   1.1 GB: 1-of-17   1.1 GB: 2-of-17   1.0 GB: 3-of-17   1.0 GB: 4-of-17   1.0 GB: 5-of-17   0.9 GB: 6-of-17   1.0 GB: 7-of-17   1.0 GB: 8-of-17   1.0 GB: 9-of-17   0.9 GB: 10-of-17   1.0 GB: 11-of-17   1.0 GB: 12-of-17   1.0 GB: 13-of-17   0.9 GB: 14-of-17   1.0 GB: 15-of-17   1.0 GB: 16-of-17   0.2 GB: 17-of-17
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>

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Note: green Score (e.g. "73.2") means that the model is better than theprint/Code-Llama-Bagel-8B.

Rank the Code Llama Bagel 8B 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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