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features
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support

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Description

Llama (Large Language Model Meta AI) stands as a cutting-edge foundational large language model aimed at helping researchers push the boundaries of their work within this area of artificial intelligence. By providing smaller yet highly effective models like Llama, the research community can benefit even if they lack extensive infrastructure, thus promoting greater accessibility in this dynamic and rapidly evolving domain. Creating smaller foundational models such as Llama is advantageous in the landscape of large language models, as it demands significantly reduced computational power and resources, facilitating the testing of innovative methods, confirming existing research, and investigating new applications. These foundational models leverage extensive unlabeled datasets, making them exceptionally suitable for fine-tuning across a range of tasks. We are offering Llama in multiple sizes (7B, 13B, 33B, and 65B parameters), accompanied by a detailed Llama model card that outlines our development process while adhering to our commitment to Responsible AI principles. By making these resources available, we aim to empower a broader segment of the research community to engage with and contribute to advancements in AI.

Description

Distil Labs enhances AI performance by substituting costly calls to advanced models with tailored small language models designed for specific tasks while ensuring the quality standards are upheld. By monitoring real production traffic and gathering traces from current LLM requests, it constructs an evaluation set to gain insights into actual workload behavior. Following this, the company creates and verifies synthetic training data, aligns the data distribution with the intended workload, and engages in supervised fine-tuning alongside reinforcement learning. The model is then quantized, and an optimized endpoint is established. The outcomes are systematically assessed against the existing model concerning accuracy, latency, and efficiency, providing teams with data to determine when to increase traffic. Ultimately, the OpenAI-compatible endpoint features a specialized small language model, prompt optimization, effective caching, and refined serving tailored for the specific application, ensuring maximum performance. This comprehensive approach allows organizations to maximize the potential of their AI implementations.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

Atomic Chat Yes 
Clore.ai Yes 
CoSpaceGPT Yes 
DataChain Yes 
Diaflow Yes 
Featherless Yes 
Firecrawl Yes 
GPT-5.4 nano No 
Jspreadsheet Yes 
Klee Yes 
Mavvrik Yes 
Nutanix Enterprise AI Yes 
PyMuPDF Yes 
RagmyAI Yes 
Revere Yes 
Scottie Yes 
Sim Studio Yes 
Snack Prompt Yes 
amazee.ai Yes 

Integrations

Atomic Chat No 
Clore.ai No 
CoSpaceGPT No 
DataChain No 
Diaflow No 
Featherless No 
Firecrawl No 
GPT-5.4 nano Yes 
Jspreadsheet No 
Klee No 
Mavvrik No 
Nutanix Enterprise AI No 
PyMuPDF No 
RagmyAI No 
Revere No 
Scottie No 
Sim Studio No 
Snack Prompt No 
amazee.ai No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.04 per 1M tokens
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

www.llama.com

Vendor Details

Company Name

distil labs

Founded

2024

Country

Germany

Website

www.distillabs.ai/

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