What are the hardware requirements for CodeLlama 7B GGUF?

CodeLlama 7B GGUF requires approximately 2.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CodeLlama 7B GGUF and how large is it?

CodeLlama 7B GGUF is developed by TheBloke, 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 GGUF?

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

CodeLlama 7B GGUF by TheBloke — VRAM 2.8GB

Name: CodeLlama 7B GGUF
Author: TheBloke

CodeLlama 7B GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.8GB, License: llama2, Quantized, Code Generating, LLM Explorer Score: 0.1.

Arxiv:2308.12950 Base model:codellama/codellama... Base model:quantized:codellama... Code Codegen Gguf Llama Llama2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/CodeLlama-7B-GGUF

CodeLlama 7B GGUF Parameters and Internals

Model Type

text-generation

Training Details

Model Architecture:

auto-regressive language model using an optimized transformer architecture

LLM Name	CodeLlama 7B GGUF
Repository 🤗	https://huggingface.co/TheBloke/CodeLlama-7B-GGUF
Model Name	CodeLlama 7B
Model Creator	Meta
Base Model(s)	CodeLlama 7B Hf codellama/CodeLlama-7b-hf
Model Size	7b
Required VRAM	2.8 GB
Updated	2026-07-25
Maintainer	TheBloke
Model Type	llama
Model Files	2.8 GB 3.6 GB 3.3 GB 3.0 GB 3.8 GB 4.1 GB 3.9 GB 4.7 GB 4.8 GB 4.7 GB 5.5 GB 7.2 GB
Supported Languages	code
GGUF Quantization	Yes
Quantization Type	gguf
Generates Code	Yes
Model Architecture	AutoModel
License	llama2

Rank the CodeLlama 7B 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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Codellama 7B Tofutune Gguf	0K / 4.1 GB	18	0
CodeLlama 7B Instruct GGUF	0K / 2.8 GB	12397	148
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Stem Coder 7B Test	0K / 14.4 GB	13	0
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CodeLlama 7B Python GGUF	0K / 2.8 GB	2163	61
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Oveu 1.1 8B	0K / 0.3 GB	42	1
Personalcoder Dsa V0.1	0K / 0.2 GB	19	1
...86B 8feb Ee84fab5469d 5GU4Xkd3	0K / 1.3 GB	40	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CodeLlama-7B-GGUF.