DataLearner logo
RE

Replit Code V1 3B

Coding modelReplit

Replit Code V1 3B

Release date: 2023-04-26Updated: 2023-07-08 08:40:25.178575
Live demoGitHubHugging FaceCompare
Parameters
2.7B
Context length
2K
Chinese support
Not supported
Reasoning ability

Replit Code V1 3B is an AI model published by Replit, released on 2023-04-26, for Coding model, with 2.7B parameters, and 2K context length, requiring about 10.4GB storage, under the CC BY-SA-4.0 license.

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

Replit Code V1 3B

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Coding model
Modality (in / out)
No data
Release date
2023-04-26
Model file size
10.4GB
MoE architecture
No
Total params / Active params
2.7B / N/A
Knowledge cutoff
No data
Replit Code V1 3B

Open source & experience

Code license
Apache 2.0
Weights license
CC BY-SA-4.0- 免费商用授权
GitHub repo
GitHub link unavailable
Hugging Face
https://huggingface.co/replit/replit-code-v1-3b
Live demo
No live demo
Replit Code V1 3B

Official resources

Paper
No paper available
DataLearnerAI blog
No blog post yet
Replit Code V1 3B

API details

API speed
No data
No public API pricing yet.
Replit Code V1 3B

Benchmark Results

No benchmark data to show.

Compare with other models

No curated comparisons for this model yet.

Want a custom combination? Open the compare tool

Replit Code V1 3B

Publisher

Replit Code V1 3B

Model Overview

Replit Code V1 3B is an AI model published by Replit, released on 2023-04-26, for Coding model, with 2.7B parameters, and 2K context length, requiring about 10.4GB storage, under the CC BY-SA-4.0 license.

DataLearner on WeChat

Follow DataLearner on WeChat for AI model updates and research notes.

DataLearner WeChat QR code