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

DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.

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.

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

A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA.

Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.

DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.

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.

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

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

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

Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters

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

Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.

Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters.

A large language model that can use text prompts to generate and discuss code.

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

A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA.

StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters.

A set of Mixture of Experts (MoE) model with open weights by Mistral AI in 8x7b and 8x22b parameter sizes.

Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of experts models that excels at coding tasks. Created by Eric Hartford.

An open-source Mixture-of-Experts code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks.

Phi-2: a 2.7B language model by Microsoft Research that demonstrates outstanding reasoning and language understanding capabilities.

Uncensored Llama 2 model by George Sung and Jarrad Hope.

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

State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases.

The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8.

Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on Llama 3 that has a variety of instruction, conversational, and coding skills.

A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware.

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

Yi 1.5 is a high-performing, bilingual language model.

Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants.

A lightweight AI model with 3.8 billion parameters with performance overtaking similarly and larger sized models.

Codestral is Mistral AI’s first-ever code model designed for code generation tasks.

StarCoder is a code generation model trained on 80+ programming languages.

A family of open foundation models by IBM for Code Intelligence

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

QwQ is an experimental research model focused on advancing AI reasoning capabilities.

A versatile model for AI software development scenarios, including code completion.

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

CodeQwen1.5 is a large language model pretrained on a large amount of code data.

SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters.

The powerful family of models by Nous Research that excels at scientific discussion and coding tasks.

Stable Code 3B is a coding model with instruct and code completion variants on par with models such as Code Llama 7B that are 2.5x larger.

An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset by Eric Hartford and based on TinyLlama.

A strong multi-lingual general language model with competitive performance to Llama 3.

State-of-the-art code generation model

Qwen2 Math is a series of specialized math language models built upon the Qwen2 LLMs, which significantly outperforms the mathematical capabilities of open-source models and even closed-source models (e.g., GPT4o).

Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch.

moondream2 is a small vision language model designed to run efficiently on edge devices.

A fine-tuned model based on Mistral with good coverage of domain and language.

This model extends LLama-3 8B's context length from 8k to over 1m tokens.

Model focused on math and logic problems

A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG).

SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks

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

General use models based on Llama and Llama 2 from Nous Research.

Code generation model based on Code Llama.

A series of multimodal LLMs (MLLMs) designed for vision-language understanding.

Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research

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

Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness.

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.

InternLM2.5 is a 7B parameter model tailored for practical scenarios with outstanding reasoning capability.

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

Mistral Small 3 sets a new benchmark in the “small” Large Language Models category below 70B.

Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy.

2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research.

A series of models from Groq that represent a significant advancement in open-source AI capabilities for tool use/function calling.

Open-source medical large language model adapted from Llama 2 to the medical domain.

The IBM Granite 2B and 8B models are designed to support tool-based use cases and support for retrieval augmented generation (RAG), streamlining code generation, translation and bug fixing.

The Nous Hermes 2 model from Nous Research, now trained over Mixtral.

The IBM Granite 2B and 8B models are text-only dense LLMs trained on over 12 trillion tokens of data, demonstrated significant improvements over their predecessors in performance and speed in IBM’s initial testing.

A new small reasoning model fine-tuned from the Qwen 2.5 3B Instruct model.

🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets.

Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens.

A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware.

A high-performing code instruct model created by merging two existing code models.

MathΣtral: a 7B model designed for math reasoning and scientific discovery by Mistral AI.

7B parameter text-to-SQL model made by MotherDuck and Numbers Station.

A series of models that convert HTML content to Markdown content, which is useful for content conversion tasks.

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

An open large reasoning model for real-world solutions by the Alibaba International Digital Commerce Group (AIDC-AI).

The IBM Granite 1B and 3B models are the first mixture of experts (MoE) Granite models from IBM designed for low latency usage.

Solar Pro Preview: an advanced large language model (LLM) with 22 billion parameters designed to fit into a single GPU

A top-performing mixture of experts model, fine-tuned with high-quality data.

A family of efficient AI models under 10B parameters performant in science, math, and coding through innovative training techniques.

A 3.8B model fine-tuned on a private high-quality synthetic dataset for information extraction, based on Phi-3.

A state-of-the-art fact-checking model developed by Bespoke Labs.

OpenCoder is an open and reproducible code LLM family which includes 1.5B and 8B models, supporting chat in English and Chinese languages.

Llama Guard 3 is a series of models fine-tuned for content safety classification of LLM inputs and responses.

The IBM Granite 1B and 3B models are long-context mixture of experts (MoE) Granite models from IBM designed for low latency usage.

Tülu 3 is a leading instruction following model family, offering fully open-source data, code, and recipes by the The Allen Institute for AI.

EXAONE 3.5 is a collection of instruction-tuned bilingual (English and Korean) generative models ranging from 2.4B to 32B parameters, developed and released by LG AI Research.

OLMo 2 is a new family of 7B and 13B models trained on up to 5T tokens. These models are on par with or better than equivalently sized fully open models, and competitive with open-weight models such as Llama 3.1 on English academic benchmarks.

The smallest model in Cohere's R series delivers top-tier speed, efficiency, and quality to build powerful AI applications on commodity GPUs and edge devices.

The IBM Granite Guardian 3.0 2B and 8B models are designed to detect risks in prompts and/or responses.

Sailor2 are multilingual language models made for South-East Asia. Available in 1B, 8B, and 20B parameter sizes.

The all-mpnet-base-v2 is a high-performance sentence-transformer model that generates 768-dimensional vector representations for sentences and paragraphs, excelling in NLP tasks like semantic search, clustering, and sentence similarity through extensive pre-training and fine-tuning using contrastive learning techniques.

Mistral Small v24.09 is a cost-effective 22B parameter language model that balances performance and efficiency, excelling in tasks like translation, summarization, and sentiment analysis while offering improved reasoning and code generation capabilities.