What are the hardware requirements for CodeLlama 7B Python GGML?

CodeLlama 7B Python GGML requires approximately 2.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CodeLlama 7B Python GGML and how large is it?

CodeLlama 7B Python GGML 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 Python GGML?

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

CodeLlama 7B Python GGML by TheBloke — VRAM 2.9GB

Name: CodeLlama 7B Python GGML
Author: TheBloke

CodeLlama 7B Python GGML is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.9GB, License: llama2, Quantized, Code Generating, LLM Explorer Score: 0.08.

Arxiv:2308.12950 Code Codegen Ggml Llama Llama2 Quantized Region:us

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

CodeLlama 7B Python GGML Parameters and Internals

Model Type

text-generation

Use Cases

Primary Use Cases:

General code synthesis and understanding, specifically for Python

Limitations:

Use in languages other than English

Additional Notes

This model is specifically designed for Python specialist tasks.

Training Details

Hardware Used:

Meta’s Research Super Cluster (A100-80GB GPU)

Model Architecture:

Optimized transformer architecture

LLM Name	CodeLlama 7B Python GGML
Repository 🤗	https://huggingface.co/TheBloke/CodeLlama-7B-Python-GGML
Model Name	CodeLlama 7B Python
Model Creator	Meta
Base Model(s)	codellama/CodeLlama-7b-python-hf codellama/CodeLlama-7b-python-hf
Model Size	7b
Required VRAM	2.9 GB
Updated	2026-07-16
Maintainer	TheBloke
Model Type	llama
Model Files	2.9 GB 3.6 GB 3.3 GB 3.0 GB 3.8 GB 4.2 GB 4.1 GB 3.8 GB 4.7 GB 5.1 GB 4.8 GB 4.7 GB 5.5 GB 7.1 GB
Supported Languages	code
GGML Quantization	Yes
Quantization Type	ggml
Generates Code	Yes
Model Architecture	AutoModel
License	llama2

Rank the CodeLlama 7B Python GGML 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 TheBloke/CodeLlama-7B-Python-GGML.