What are the hardware requirements for Codellama 7B Tofutune Gguf?

Codellama 7B Tofutune Gguf requires approximately 4.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Codellama 7B Tofutune Gguf and how large is it?

Codellama 7B Tofutune Gguf is developed by simonbutt, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Codellama 7B Tofutune Gguf?

Codellama 7B Tofutune Gguf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Codellama 7B Tofutune Gguf by simonbutt — VRAM 4.1GB

Name: Codellama 7B Tofutune Gguf
Author: simonbutt

Codellama 7B Tofutune Gguf is an open-source language model by simonbutt. Features: 7b LLM, VRAM: 4.1GB, License: apache-2.0, Quantized, Code Generating, LLM Explorer Score: 0.13.

4bit Base model:quantized:unsloth/c... Base model:unsloth/codellama-7... Codegen En Endpoints compatible Gguf Llama Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/simonbutt/codellama-7b-tofutune-gguf

Codellama 7B Tofutune Gguf Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth

Additional Notes

This model is a finetuned version of the base model unsloth/codellama-7b-bnb-4bit. It was trained using the Unsloth approach and Huggingface's TRL library.

Training Details

Methodology:

The llama model was trained 2x faster using Unsloth and Huggingface's TRL library.

LLM Name	Codellama 7B Tofutune Gguf
Repository 🤗	https://huggingface.co/simonbutt/codellama-7b-tofutune-gguf
Base Model(s)	Codellama 7B Bnb 4bit unsloth/codellama-7b-bnb-4bit
Model Size	7b
Required VRAM	4.1 GB
Updated	2026-07-23
Maintainer	simonbutt
Model Type	llama
Model Files	4.1 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|4bit
Generates Code	Yes
Model Architecture	AutoModel
License	apache-2.0

Rank the Codellama 7B Tofutune Gguf capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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