CodeLlama-70B-Python

Name: CodeLlama-70B-Python
Author: Facebook AI Research Lab

Coding model

Release date: 2024-01-30Updated: 2024-01-30 10:30:32.949535

Live demoGitHub Hugging Face Compare

Parameters

70B

Context length

100K

Chinese support

Not supported

Reasoning ability

CodeLlama-70B-Python is an AI model published by Facebook AI Research Lab, released on 2024-01-30, for Coding model, with 70B parameters, and 100K context length, requiring about 140GB storage, with a 65.60 score on MBPP.

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

CodeLlama-70B-Python

Model basics

Reasoning traces

Not supported

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

2024-01-30

Model file size

140GB

MoE architecture

Total params / Active params

70B / N/A

Knowledge cutoff

No data

CodeLlama-70B-Python

Open source & experience

Code license

Weights license

- Commercial use permitted

GitHub repo

https://github.com/facebookresearch/codellama

Hugging Face

https://huggingface.co/codellama/CodeLlama-70b-hf

Live demo

No live demo

CodeLlama-70B-Python

Official resources

Paper

DataLearnerAI blog

No blog post yet

CodeLlama-70B-Python

API details

API speed

No data

No public API pricing yet.

CodeLlama-70B-Python

Benchmark Results

CodeLlama-70B-Python currently shows benchmark results led by MBPP (21 / 70, score 65.60), HumanEval (44 / 101, score 57.30). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.