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 DevShubham, a model with 13b 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 DevShubham — VRAM 2.8GB

Name: Codellama 7B Instruct GGUF
Author: DevShubham

Codellama 7B Instruct GGUF is an open-source language model by DevShubham. Features: 13b LLM, VRAM: 2.8GB, License: llama2, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.12.

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

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

Codellama 7B Instruct GGUF Parameters and Internals

Model Type

llama

Use Cases

Areas:

commercial, research

Primary Use Cases:

code synthesis, understanding tasks

Limitations:

Use in languages other than English, Use in violation of applicable laws

Considerations:

Refer to the Responsible Use Guide

Additional Notes

In aggregate, training all 9 Code Llama models required 400K GPU hours of computation, and the estimated total emissions were 65.3 tCO2eq, 100% offset by Meta’s sustainability program.

Training Details

Data Sources:

same data as Llama 2 with different weights

Hardware Used:

A100-80GB (TDP of 350-400W)

Model Architecture:

auto-regressive language model using an optimized transformer architecture

LLM Name	Codellama 7B Instruct GGUF
Repository 🤗	https://huggingface.co/DevShubham/Codellama-7B-Instruct-GGUF
Model Name	CodeLlama 13B Instruct
Model Creator	Meta
Base Model(s)	CodeLlama 13B Instruct Hf codellama/CodeLlama-13b-Instruct-hf
Model Size	13b
Required VRAM	2.8 GB
Updated	2026-09-08
Maintainer	DevShubham
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

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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
Codellama 13B Instruct GGUF	0K / 13.8 GB	28	0
CodeLlama 13B Instruct GGUF	0K / 5.4 GB	3987	132
CodeLlama 13B Instruct GGML	0K / 5.7 GB	11	19
...fast Codellama 13B Instruct Hf	0K / 13 GB	3	1