Self-Hosted AI with Hugging Face TGI

New state of the art 70B model. Llama 3.3 70B offers similar performance compared to the Llama 3.1 405B model.

The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing.

Cohere For AI's language models trained to perform well across 23 different languages.

Llama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA to improve the helpfulness of LLM generated responses to user queries.

Mistral-NeMo-Minitron-8B-Instruct is a model for generating responses for various text-generation tasks including roleplaying, retrieval augmented generation, and function calling.

In August 2024, we released the first series of mathematical LLMs - Qwen2-Math - of our Qwen family.

Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes.

Meta's Llama 3.2 goes small with 1B and 3B models.

We're excited to unveil Qwen2-VL, the latest iteration of our Qwen-VL model, representing nearly a year of innovation.

Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.

Phi-3.5-mini is a lightweight, state-of-the-art open model built upon datasets used for Phi-3 - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data. The model belongs to the Phi-3 model family and supports 128K token context length.

Llama 3.1 is a new state-of-the-art model from Meta available in 8B, 70B and 405B parameter sizes.

A strong, economical, and efficient Mixture-of-Experts language model.

🪐 A family of small models with 135M, 360M, and 1.7B parameters, trained on a new high-quality dataset.

A family of open foundation models by IBM for Code Intelligence

In standard benchmark evaluations, DeepSeek-Coder-V2 achieves superior performance compared to closed-source models such as GPT4-Turbo, Claude 3 Opus, and Gemini 1.5 Pro in coding and math benchmarks. The list of supported programming languages can be found here.

Qwen2 is a new series of large language models from Alibaba group

Aya 23, released by Cohere, is a new family of state-of-the-art, multilingual models that support 23 languages.

Yi-1.5 is an upgraded version of Yi. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples.

A smaller Mixture-of-Experts version of DeepSeek-V2 with 16B total and 2.4B active parameters.

A large language model built by the Technology Innovation Institute (TII) for use in summarization, text generation, and chat bots.

The Phi-3-Medium-4K-Instruct is a 14B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.

NVIDIA's Llama 3 model tuned for conversational question answering and retrieval-augmented generation (RAG).

For more details, please refer to our blog post and GitHub repo.

The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.

Meta Llama 3: The most capable openly available LLM to date

Command R is a Large Language Model optimized for conversational interaction and long context tasks.

DeepSeek Coder is a capable coding model trained on two trillion code and natural language tokens.

A compact, yet powerful 10.7B large language model designed for single-turn conversation.

The 7B model released by Mistral AI, updated to version 0.3.