CodeLLaMA-Python-34B

Name: CodeLLaMA-Python-34B
Author: Facebook AI Research Lab

Coding modelCodeLlama

Release date: 2023-08-24Updated: 2023-08-24Views: 454

Live demoGitHubHugging FaceCompare

Parameters

34B

Context length

100K

Multilingual

No data

Reasoning ability

No data

CodeLLaMA-Python-34B is an AI model published by Facebook AI Research Lab, released on 2023-08-24, for Coding model, with 34B parameters, and 100K context length, requiring about 68GB storage, with a 94.70 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-34B

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

68GB

MoE architecture

Total params / Active params

34B / Not applicable

Knowledge cutoff

No data

CodeLLaMA-Python-34B

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-34B

Official resources

Paper

DataLearnerAI blog

N/A

CodeLLaMA-Python-34B

API details

API speed

No data

No public API pricing yet.

CodeLLaMA-Python-34B

Benchmark Results

CodeLLaMA-Python-34B currently shows benchmark results led by MBPP (2 / 96, score 88.20), HumanEval (3 / 140, score 94.70). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.