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Description
Code Llama is an advanced language model designed to generate code through text prompts, distinguishing itself as a leading tool among publicly accessible models for coding tasks. This innovative model not only streamlines workflows for existing developers but also aids beginners in overcoming challenges associated with learning to code. Its versatility positions Code Llama as both a valuable productivity enhancer and an educational resource, assisting programmers in creating more robust and well-documented software solutions. Additionally, users can generate both code and natural language explanations by providing either type of prompt, making it an adaptable tool for various programming needs. Available for free for both research and commercial applications, Code Llama is built upon Llama 2 architecture and comes in three distinct versions: the foundational Code Llama model, Code Llama - Python which is tailored specifically for Python programming, and Code Llama - Instruct, optimized for comprehending and executing natural language directives effectively.
Description
CogVideoX serves as a powerful tool for generating videos from text inputs. Prior to executing the model, it is essential to consult this guide to understand how we utilize the GLM-4 model for prompt optimization. This step is vital since the model performs best with extended prompts, and crafting an effective prompt has a significant impact on the quality of the resultant video. The guide includes both the inference code and the fine-tuning code for SAT weights, with recommendations to enhance it based on the framework of the CogVideoX model. Enterprising researchers leverage this code to advance their rapid development and stacking capabilities. In a captivating scene, a meticulously crafted wooden toy ship, featuring detailed masts and sails, sails gracefully over a soft, blue carpet designed to mimic the ocean's waves. The ship's hull boasts a deep brown hue adorned with tiny, intricate windows. The invitingly plush carpet serves as an ideal setting, evoking the vastness of the sea, while various toys and children's belongings scattered around further suggest a lively and imaginative atmosphere. This imaginative scenario not only showcases the capabilities of CogVideoX but also highlights the importance of a well-structured prompt in creating engaging visual narratives.
API Access
Has API
API Access
Has API
Integrations
1min.AI
BLACKBOX AI
CodeQwen
Deep Infra
IONOS Cloud AI Model Hub
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Integrations
1min.AI
BLACKBOX AI
CodeQwen
Deep Infra
IONOS Cloud AI Model Hub
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
ai.meta.com/blog/code-llama-large-language-model-coding/
Vendor Details
Company Name
CogVideoX
Website
github.com/zai-org/CogVideo