LI
Lit-LLaMA
Foundation modelLit-LLaMA
Release date: 2023-03-29Updated: 2023-03-29 20:52:42.062580
Parameters
65B
Context length
2K
Chinese support
Not supported
Reasoning ability
Lit-LLaMA is an AI model published by Cerebras Systems, released on 2023-03-29, for Foundation model, with 65B parameters, and 2K context length, requiring about 200 storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Lit-LLaMA
Model basics
Reasoning traces
Not supported
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
2023-03-29
Model file size
200
MoE architecture
No
Total params / Active params
65B / N/A
Knowledge cutoff
No data
Lit-LLaMA
Open source & experience
Code license
No data
Weights license
No data
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Live demo
No live demo
Lit-LLaMA
Official resources
Paper
No paper available
DataLearnerAI blog
No blog post yet
Lit-LLaMA
API details
API speed
No data
No public API pricing yet.
Lit-LLaMA
Benchmark Results
No benchmark data to show.
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Lit-LLaMA
Publisher
Cerebras Systems
View publisher details Lit-LLaMA
Model Overview
Lit-LLaMA is an AI model published by Cerebras Systems, released on 2023-03-29, for Foundation model, with 65B parameters, and 2K context length, requiring about 200 storage.
Foundation model
LLaMA
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