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

CodeLlama 7B Python GPTQ requires approximately 3.9 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

CodeLlama 7B Python GPTQ 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 GPTQ?

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

CodeLlama 7B Python GPTQ by TheBloke — VRAM 3.9GB, 16K context

Name: CodeLlama 7B Python GPTQ
Author: TheBloke

CodeLlama 7B Python GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.9GB, Context: 16K, License: llama2, Quantized, Code Generating, LLM Explorer Score: 0.08.

Arxiv:2308.12950 4-bit Code Codegen Custom code Gptq Llama Llama2 Quantized Region:us Safetensors

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

CodeLlama 7B Python GPTQ Parameters and Internals

Model Type

text generation, code synthesis

Use Cases

Areas:

commercial use, research use

Applications:

code synthesis, code understanding

Primary Use Cases:

Python programming

Limitations:

Out-of-scope uses include languages other than English.

Considerations:

The potential outputs cannot be predicted in advance; developers should perform safety testing.

Additional Notes

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters.

Supported Languages

Python (Specialist)

Training Details

Data Sources:

Uses the same data as Llama 2 with different weights.

Methodology:

Fine-tuning specific to tasks such as code synthesis and Python specialization.

Hardware Used:

A100-80GB, TDP of 350-400W

Model Architecture:

Optimized transformer architecture

Safety Evaluation

Methodologies:

See safety evaluations in Section 4 of the research paper.

Ethical Considerations:

Should perform safety testing and tuning tailored to specific applications.

Responsible Ai Considerations

Mitigation Strategies:

Responsible Use Guide available at https://ai.meta.com/llama/responsible-user-guide

Input Output

Input Format:

Text input

Accepted Modalities:

text

Output Format:

Text generation

Release Notes

Version:

7B Python

Notes:

Designed for general code synthesis and understanding.

LLM Name	CodeLlama 7B Python GPTQ
Repository 🤗	https://huggingface.co/TheBloke/CodeLlama-7B-Python-GPTQ
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	3.9 GB
Updated	2026-08-02
Maintainer	TheBloke
Model Type	llama
Model Files	3.9 GB
Supported Languages	code
GPTQ Quantization	Yes
Quantization Type	gptq
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.32.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the CodeLlama 7B Python GPTQ 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 Python GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Codebear 7B 4bit	16K / 3.9 GB	4	1
...a 7B Instruct GPTQ Calib Ja 1K	16K / 3.9 GB	6	0
CodeLlama 7B Instruct GPTQ	16K / 3.9 GB	499	46
CodeLlama 7B GPTQ	16K / 3.9 GB	63	14
Codegen Int4 GPTQ Python Code	4K / 3.9 GB	7	0
Llama 2 Coder 7B GPTQ	4K / 3.9 GB	33	10
CodeLlama 7B Java 16bit	16K / 13.5 GB	10	0
Codellama 7B Bnb 4bit	16K / 3.9 GB	3695	9
...ruct Solidity Bnb 4bit Smashed	16K / 4.2 GB	6	0
...lama 7B Tofuagent Contpretrain	16K / 13.5 GB	6	0

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