What are the hardware requirements for CodeLlama 7B Instruct GGUF?

CodeLlama 7B Instruct 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 Instruct GGUF and how large is it?

CodeLlama 7B Instruct 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 Instruct GGUF?

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

CodeLlama 7B Instruct GGUF by TheBloke — VRAM 2.8GB

Name: CodeLlama 7B Instruct GGUF
Author: TheBloke

CodeLlama 7B Instruct GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.8GB, License: llama2, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.12.

Arxiv:2308.12950 Code Codegen Gguf Instruct Llama Llama2 Quantized Region:us

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

CodeLlama 7B Instruct GGUF Parameters and Internals

Model Type

text-generation

Use Cases

Limitations:

Use in languages other than English., Use in violation of laws or in prohibited ways.

Training Details

Hardware Used:

A100-80GB

Model Architecture:

optimized transformer architecture

Input Output

Input Format:

Models input text only.

Output Format:

Models generate text only.

LLM Name	CodeLlama 7B Instruct GGUF
Repository 🤗	https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-GGUF
Model Name	CodeLlama 7B Instruct
Model Creator	Meta
Base Model(s)	codellama/CodeLlama-7b-instruct-hf codellama/CodeLlama-7b-instruct-hf
Model Size	7b
Required VRAM	2.8 GB
Updated	2026-06-24
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
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 Instruct 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

Best Alternatives to CodeLlama 7B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...al 7B Instruct V0.2 Slerp GGUF	0K / 2.7 GB	875	6
Oveu 1.1 8B	0K / 0.3 GB	42	1
Haru Coder 8B Coding Adapter	0K / 0.2 GB	13	1
Haru Coder 8B Plan Adapter	0K / 0.2 GB	13	1
...aru Coder 8B Debugging Adapter	0K / 0.2 GB	12	1
Personalcoder Dsa V0.1	0K / 0.2 GB	19	1
...86B 8feb Ee84fab5469d 5GU4Xkd3	0K / 1.3 GB	40	0
...29B 92a1 E78acf5901b2 5FWLwQ2G	0K / 1.3 GB	31	0
...29B 92a1 E78acf5901b2 5EEaxgnm	0K / 1.3 GB	28	0
...321 Ac7f 1a661b3375e2 5FjDsFGA	0K / 0.6 GB	27	0

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