Alpaca

Alpaca

Stanford Center for Research on Foundation Models (CRFM)
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About

Instruction-following models such as GPT-3.5 (text-DaVinci-003), ChatGPT, Claude, and Bing Chat have become increasingly powerful. Many users now interact with these models regularly and even use them for work. However, despite their widespread deployment, instruction-following models still have many deficiencies: they can generate false information, propagate social stereotypes, and produce toxic language. To make maximum progress on addressing these pressing problems, it is important for the academic community to engage. Unfortunately, doing research on instruction-following models in academia has been difficult, as there is no easily accessible model that comes close in capabilities to closed-source models such as OpenAI’s text-DaVinci-003. We are releasing our findings about an instruction-following language model, dubbed Alpaca, which is fine-tuned from Meta’s LLaMA 7B model.

About

Code Llama is a large language model (LLM) that can use text prompts to generate code. Code Llama is state-of-the-art for publicly available LLMs on code tasks, and has the potential to make workflows faster and more efficient for current developers and lower the barrier to entry for people who are learning to code. Code Llama has the potential to be used as a productivity and educational tool to help programmers write more robust, well-documented software. Code Llama is a state-of-the-art LLM capable of generating code, and natural language about code, from both code and natural language prompts. Code Llama is free for research and commercial use. Code Llama is built on top of Llama 2 and is available in three models: Code Llama, the foundational code model; Codel Llama - Python specialized for Python; and Code Llama - Instruct, which is fine-tuned for understanding natural language instructions.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations and researchers interested in a powerful Large Language Model

Audience

Users interested in a powerful, free, open source large language model for coding

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Stanford Center for Research on Foundation Models (CRFM)
United States
crfm.stanford.edu/2023/03/13/alpaca.html

Company Information

Meta
Founded: 2004
United States
ai.meta.com/blog/code-llama-large-language-model-coding/

Alternatives

Falcon-40B

Falcon-40B

Technology Innovation Institute (TII)

Alternatives

LTM-1

LTM-1

Magic AI
CodeGemma

CodeGemma

Google
MPT-7B

MPT-7B

MosaicML
CodeQwen

CodeQwen

Alibaba
Dolly

Dolly

Databricks
Llama 2

Llama 2

Meta

Categories

Categories

Integrations

Llama
1min.AI
BERT
BLACKBOX AI
ChatGPT
CodeQwen
Deep Infra
Dolly
GPT-4
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Ludwig
Meta AI
Ollama
Pipeshift
Tabby

Integrations

Llama
1min.AI
BERT
BLACKBOX AI
ChatGPT
CodeQwen
Deep Infra
Dolly
GPT-4
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Ludwig
Meta AI
Ollama
Pipeshift
Tabby
Claim Alpaca and update features and information
Claim Alpaca and update features and information
Claim Code Llama and update features and information
Claim Code Llama and update features and information