RE
Replit-finetuned-v1-3b
Release date: 2023-04-26Updated: 2023-04-27Views: 478
Parameters
2.7B
Context length
2K
Multilingual
No data
Reasoning ability
No data
Replit-finetuned-v1-3b is an AI model published by Replit, released on 2023-04-26, for Foundation model, with 2.7B parameters, and 2K context length.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Replit-finetuned-v1-3b
Model basics
Reasoning traces
No data
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2023-04-26
Model file size
No data
MoE architecture
No
Total params / Active params
2.7B / Not applicable
Knowledge cutoff
No data
Replit-finetuned-v1-3b
Open source & experience
Code license
No data
Weights license
No data
GitHub repo
N/A
Hugging Face
N/A
Live demo
N/A
Replit-finetuned-v1-3b
Official resources
Paper
N/A
DataLearnerAI blog
N/A
Replit-finetuned-v1-3b
API details
API speed
No data
No public API pricing yet.
Replit-finetuned-v1-3b
Publisher
Replit
View publisher details Replit-finetuned-v1-3b
Model Overview
Replit-finetuned-v1-3b is an AI model published by Replit, released on 2023-04-26, for Foundation model, with 2.7B parameters, and 2K context length.
Foundation model
LLaMA
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