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Codellama 7B Tofuagent Contpretrain by simonbutt

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Codellama 7B Tofuagent Contpretrain is an open-source language model by simonbutt. Features: 7b LLM, VRAM: 13.5GB, Context: 16K, License: apache-2.0, Quantized, Code Generating, LLM Explorer Score: 0.14.

  4bit   Autotrain compatible Base model:finetune:unsloth/co... Base model:unsloth/codellama-7...   Codegen   En   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/simonbutt/codellama-7b-tofuagent-contpretrain 

Codellama 7B Tofuagent Contpretrain Benchmarks

LLME Score: 0.1379
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codellama 7B Tofuagent Contpretrain (simonbutt/codellama-7b-tofuagent-contpretrain)
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Codellama 7B Tofuagent Contpretrain Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (proficiency)
LLM NameCodellama 7B Tofuagent Contpretrain
Repository 🤗https://huggingface.co/simonbutt/codellama-7b-tofuagent-contpretrain 
Base Model(s)  Codellama 7B Bnb 4bit   unsloth/codellama-7b-bnb-4bit
Model Size7b
Required VRAM13.5 GB
Updated2025-09-23
Maintainersimonbutt
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.41.2
Tokenizer ClassCodeLlamaTokenizer
Padding Token<unk>
Vocabulary Size32016
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than simonbutt/codellama-7b-tofuagent-contpretrain.

Rank the Codellama 7B Tofuagent Contpretrain 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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