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What is Vicuna?

Vicuna-13B is a conversational AI created by fine-tuning LLaMA on a collection of user dialogues sourced from ShareGPT. Early evaluations, using GPT-4 as a benchmark, suggest that Vicuna-13B reaches over 90% of the performance level found in OpenAI's ChatGPT and Google Bard, while outperforming other models like LLaMA and Stanford Alpaca in more than 90% of tested cases. The estimated cost to train Vicuna-13B is around $300, which is quite economical for a model of its caliber. Furthermore, the model's source code and weights are publicly accessible under non-commercial licenses, promoting a spirit of collaboration and further development. This level of transparency not only fosters innovation but also allows users to delve into the model's functionalities across various applications, paving the way for new ideas and enhancements. Ultimately, such initiatives can significantly contribute to the advancement of conversational AI technologies.

What is Code Llama?

Code Llama is a sophisticated language model engineered to produce code from text prompts, setting itself apart as a premier choice among publicly available models for coding applications. This groundbreaking model not only enhances productivity for seasoned developers but also supports newcomers in tackling the complexities of learning programming. Its adaptability allows Code Llama to serve as both an effective productivity tool and a pedagogical resource, enabling programmers to develop more efficient and well-documented software. Furthermore, users can generate code alongside natural language explanations by inputting either format, which contributes to its flexibility for various programming tasks. Offered for free for both research and commercial use, Code Llama is based on the Llama 2 architecture and is available in three specific versions: the core Code Llama model, Code Llama - Python designed exclusively for Python development, and Code Llama - Instruct, which is fine-tuned to understand and execute natural language commands accurately. As a result, Code Llama stands out not just for its technical capabilities but also for its accessibility and relevance to diverse coding scenarios.

Media

Media

Integrations Supported

AI Collective
LM Studio
Prem AI

Integrations Supported

1min.AI
BLACKBOX AI
CodeQwen
Deep Infra
IONOS Cloud AI Model Hub
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Meta AI
Ollama
Pipeshift
Prefactor
Tabby

API Availability

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Not specified

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

lmsys.org

Date Founded

2023

Company Website

lmsys.org

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

ai.meta.com/blog/code-llama-large-language-model-coding/

Categories and Features

AI Chatbots

Not specified

AI Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Code Generators

Not specified

AI Code Refactoring

Not specified

AI Coding Assistants

Not specified

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Small Language Models

Not specified

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