CodeLLaMA-Python-7B

Name: CodeLLaMA-Python-7B
Author: Facebook AI Research Lab

Coding modelCodeLlama

CodeLLaMA-Python-7B

Release date: 2023-08-24Updated: 2023-08-24Views: 455

Live demoGitHubHugging FaceCompare

Parameters

Context length

100K

Multilingual

No data

Reasoning ability

No data

CodeLLaMA-Python-7B is an AI model published by Facebook AI Research Lab, released on 2023-08-24, for Coding model, with 7B parameters, and 100K context length, requiring about 14GB storage, with a 90.60 score on HumanEval.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

CodeLLaMA-Python-7B

Model basics

Reasoning traces

No data

Thinking modes

Thinking modes not supported

Context length

100K tokens

Max output length

No data

Model type

Coding model

Modality (in / out)

No data

Release date

2023-08-24

Model file size

14GB

MoE architecture

Total params / Active params

7B / Not applicable

Knowledge cutoff

No data

CodeLLaMA-Python-7B

Open source & experience

Code license

Weights license

- Commercial use permitted

GitHub repo

github.com/facebookresearch/codellama

Hugging Face

N/A

Live demo

N/A

CodeLLaMA-Python-7B

Official resources

Paper

DataLearnerAI blog

N/A

CodeLLaMA-Python-7B

API details

API speed

No data

No public API pricing yet.

CodeLLaMA-Python-7B

Benchmark Results

CodeLLaMA-Python-7B currently shows benchmark results led by HumanEval (13 / 140, score 90.60), MBPP (12 / 96, score 84.80). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.