Self-Hosted AI with Ollama

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

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

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

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

Athene-V2 is a 72B parameter model which excels at code completion, mathematics, and log extraction tasks.

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

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.

ShieldGemma is set of instruction tuned models for evaluating the safety of text prompt input and text output responses against a set of defined safety policies.

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

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

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.

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

A commercial-friendly small language model by NVIDIA optimized for roleplay, RAG QA, and function calling.

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

An upgraded version of DeekSeek-V2 that integrates the general and coding abilities of both DeepSeek-V2-Chat and DeepSeek-Coder-V2-Instruct.

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

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.

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

A high-performing model trained with a new technique called Reflection-tuning that teaches a LLM to detect mistakes in its reasoning and correct course.

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

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

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.

A family of open foundation models by IBM for Code Intelligence

Command R+ is a powerful, scalable large language model purpose-built to excel at real-world enterprise use cases.

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

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).

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