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| id | url | short_desc | |
|---|---|---|---|
| llama3.1 | https://ollama.ai//library/llama3.1 | Llama 3.1 is a new state-of-the-art model from Meta available in 8B, 70B and 405B parameter sizes. | |
| gemma2 | https://ollama.ai//library/gemma2 | Google Gemma 2 is a high-performing and efficient model by now available in three sizes: 2B, 9B, and 27B. | |
| mistral-nemo | https://ollama.ai//library/mistral-nemo | A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA. | |
| mistral-large | https://ollama.ai//library/mistral-large | Mistral Large 2 is Mistral's new flagship model that is significantly more capable in code generation, mathematics, and reasoning with 128k context window and support for dozens of languages. | |
| qwen2 | https://ollama.ai//library/qwen2 | Qwen2 is a new series of large language models from Alibaba group | |
| deepseek-coder-v2 | https://ollama.ai//library/deepseek-coder-v2 | An open-source Mixture-of-Experts code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. | |
| phi3 | https://ollama.ai//library/phi3 | Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art open models by Microsoft. | |
| mistral | https://ollama.ai//library/mistral | The 7B model released by Mistral AI, updated to version 0.3. | |
| mixtral | https://ollama.ai//library/mixtral | A set of Mixture of Experts (MoE) model with open weights by Mistral AI in 8x7b and 8x22b parameter sizes. | |
| codegemma | https://ollama.ai//library/codegemma | CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following. | |
| command-r | https://ollama.ai//library/command-r | Command R is a Large Language Model optimized for conversational interaction and long context tasks. | |
| command-r-plus | https://ollama.ai//library/command-r-plus | Command R+ is a powerful, scalable large language model purpose-built to excel at real-world enterprise use cases. | |
| llava | https://ollama.ai//library/llava | 🌋 LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. Updated to version 1.6. | |
| llama3 | https://ollama.ai//library/llama3 | Meta Llama 3: The most capable openly available LLM to date | |
| gemma | https://ollama.ai//library/gemma | Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1 | |
| qwen | https://ollama.ai//library/qwen | Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters | |
| llama2 | https://ollama.ai//library/llama2 | Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters. | |
| codellama | https://ollama.ai//library/codellama | A large language model that can use text prompts to generate and discuss code. | |
| dolphin-mixtral | https://ollama.ai//library/dolphin-mixtral | Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of experts models that excels at coding tasks. Created by Eric Hartford. | |
| nomic-embed-text | https://ollama.ai//library/nomic-embed-text | A high-performing open embedding model with a large token context window. | |
| llama2-uncensored | https://ollama.ai//library/llama2-uncensored | Uncensored Llama 2 model by George Sung and Jarrad Hope. | |
| phi | https://ollama.ai//library/phi | Phi-2: a 2.7B language model by Microsoft Research that demonstrates outstanding reasoning and language understanding capabilities. | |
| deepseek-coder | https://ollama.ai//library/deepseek-coder | DeepSeek Coder is a capable coding model trained on two trillion code and natural language tokens. | |
| dolphin-mistral | https://ollama.ai//library/dolphin-mistral | The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8. | |
| orca-mini | https://ollama.ai//library/orca-mini | A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware. | |
| mxbai-embed-large | https://ollama.ai//library/mxbai-embed-large | State-of-the-art large embedding model from mixedbread.ai | |
| zephyr | https://ollama.ai//library/zephyr | Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants. | |
| dolphin-llama3 | https://ollama.ai//library/dolphin-llama3 | 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. | |
| starcoder2 | https://ollama.ai//library/starcoder2 | StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters. | |
| mistral-openorca | https://ollama.ai//library/mistral-openorca | Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset. | |
| yi | https://ollama.ai//library/yi | Yi 1.5 is a high-performing, bilingual language model. | |
| llama2-chinese | https://ollama.ai//library/llama2-chinese | Llama 2 based model fine tuned to improve Chinese dialogue ability. | |
| llava-llama3 | https://ollama.ai//library/llava-llama3 | A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks. | |
| vicuna | https://ollama.ai//library/vicuna | General use chat model based on Llama and Llama 2 with 2K to 16K context sizes. | |
| tinyllama | https://ollama.ai//library/tinyllama | The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens. | |
| nous-hermes2 | https://ollama.ai//library/nous-hermes2 | The powerful family of models by Nous Research that excels at scientific discussion and coding tasks. | |
| wizard-vicuna-uncensored | https://ollama.ai//library/wizard-vicuna-uncensored | Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford. | |
| codestral | https://ollama.ai//library/codestral | Codestral is Mistral AI’s first-ever code model designed for code generation tasks. | |
| starcoder | https://ollama.ai//library/starcoder | StarCoder is a code generation model trained on 80+ programming languages. | |
| wizardlm2 | https://ollama.ai//library/wizardlm2 | State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases. | |
| openchat | https://ollama.ai//library/openchat | A family of open-source models trained on a wide variety of data, surpassing ChatGPT on various benchmarks. Updated to version 3.5-0106. | |
| aya | https://ollama.ai//library/aya | Aya 23, released by Cohere, is a new family of state-of-the-art, multilingual models that support 23 languages. | |
| tinydolphin | https://ollama.ai//library/tinydolphin | An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset by Eric Hartford and based on TinyLlama. | |
| stable-code | https://ollama.ai//library/stable-code | 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. | |
| openhermes | https://ollama.ai//library/openhermes | OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully open datasets. | |
| wizardcoder | https://ollama.ai//library/wizardcoder | State-of-the-art code generation model | |
| codeqwen | https://ollama.ai//library/codeqwen | CodeQwen1.5 is a large language model pretrained on a large amount of code data. | |
| wizard-math | https://ollama.ai//library/wizard-math | Model focused on math and logic problems | |
| granite-code | https://ollama.ai//library/granite-code | A family of open foundation models by IBM for Code Intelligence | |
| stablelm2 | https://ollama.ai//library/stablelm2 | 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. | |
| neural-chat | https://ollama.ai//library/neural-chat | A fine-tuned model based on Mistral with good coverage of domain and language. | |
| all-minilm | https://ollama.ai//library/all-minilm | Embedding models on very large sentence level datasets. | |
| phind-codellama | https://ollama.ai//library/phind-codellama | Code generation model based on Code Llama. | |
| dolphincoder | https://ollama.ai//library/dolphincoder | A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2. | |
| nous-hermes | https://ollama.ai//library/nous-hermes | General use models based on Llama and Llama 2 from Nous Research. | |
| sqlcoder | https://ollama.ai//library/sqlcoder | SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks | |
| llama3-gradient | https://ollama.ai//library/llama3-gradient | This model extends LLama-3 8B's context length from 8k to over 1m tokens. | |
| xwinlm | https://ollama.ai//library/xwinlm | Conversational model based on Llama 2 that performs competitively on various benchmarks. | |
| starling-lm | https://ollama.ai//library/starling-lm | Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness. | |
| yarn-llama2 | https://ollama.ai//library/yarn-llama2 | An extension of Llama 2 that supports a context of up to 128k tokens. | |
| deepseek-llm | https://ollama.ai//library/deepseek-llm | An advanced language model crafted with 2 trillion bilingual tokens. | |
| llama3-chatqa | https://ollama.ai//library/llama3-chatqa | A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG). | |
| falcon | https://ollama.ai//library/falcon | A large language model built by the Technology Innovation Institute (TII) for use in summarization, text generation, and chat bots. | |
| orca2 | https://ollama.ai//library/orca2 | Orca 2 is built by Microsoft research, and are a fine-tuned version of Meta's Llama 2 models. The model is designed to excel particularly in reasoning. | |
| wizardlm | https://ollama.ai//library/wizardlm | General use model based on Llama 2. | |
| solar | https://ollama.ai//library/solar | A compact, yet powerful 10.7B large language model designed for single-turn conversation. | |
| samantha-mistral | https://ollama.ai//library/samantha-mistral | A companion assistant trained in philosophy, psychology, and personal relationships. Based on Mistral. | |
| dolphin-phi | https://ollama.ai//library/dolphin-phi | 2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research. | |
| stable-beluga | https://ollama.ai//library/stable-beluga | Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy. | |
| moondream | https://ollama.ai//library/moondream | moondream2 is a small vision language model designed to run efficiently on edge devices. | |
| snowflake-arctic-embed | https://ollama.ai//library/snowflake-arctic-embed | A suite of text embedding models by Snowflake, optimized for performance. | |
| bakllava | https://ollama.ai//library/bakllava | BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA architecture. | |
| wizardlm-uncensored | https://ollama.ai//library/wizardlm-uncensored | Uncensored version of Wizard LM model | |
| deepseek-v2 | https://ollama.ai//library/deepseek-v2 | A strong, economical, and efficient Mixture-of-Experts language model. | |
| medllama2 | https://ollama.ai//library/medllama2 | Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset. | |
| yarn-mistral | https://ollama.ai//library/yarn-mistral | An extension of Mistral to support context windows of 64K or 128K. | |
| llama-pro | https://ollama.ai//library/llama-pro | An expansion of Llama 2 that specializes in integrating both general language understanding and domain-specific knowledge, particularly in programming and mathematics. | |
| nous-hermes2-mixtral | https://ollama.ai//library/nous-hermes2-mixtral | The Nous Hermes 2 model from Nous Research, now trained over Mixtral. | |
| meditron | https://ollama.ai//library/meditron | Open-source medical large language model adapted from Llama 2 to the medical domain. | |
| nexusraven | https://ollama.ai//library/nexusraven | Nexus Raven is a 13B instruction tuned model for function calling tasks. | |
| codeup | https://ollama.ai//library/codeup | Great code generation model based on Llama2. | |
| llava-phi3 | https://ollama.ai//library/llava-phi3 | A new small LLaVA model fine-tuned from Phi 3 Mini. | |
| glm4 | https://ollama.ai//library/glm4 | A strong multi-lingual general language model with competitive performance to Llama 3. | |
| everythinglm | https://ollama.ai//library/everythinglm | Uncensored Llama2 based model with support for a 16K context window. | |
| codegeex4 | https://ollama.ai//library/codegeex4 | A versatile model for AI software development scenarios, including code completion. | |
| magicoder | https://ollama.ai//library/magicoder | 🎩 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. | |
| stablelm-zephyr | https://ollama.ai//library/stablelm-zephyr | A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware. | |
| codebooga | https://ollama.ai//library/codebooga | A high-performing code instruct model created by merging two existing code models. | |
| mistrallite | https://ollama.ai//library/mistrallite | MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts. | |
| wizard-vicuna | https://ollama.ai//library/wizard-vicuna | Wizard Vicuna is a 13B parameter model based on Llama 2 trained by MelodysDreamj. | |
| duckdb-nsql | https://ollama.ai//library/duckdb-nsql | 7B parameter text-to-SQL model made by MotherDuck and Numbers Station. | |
| megadolphin | https://ollama.ai//library/megadolphin | MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself. | |
| goliath | https://ollama.ai//library/goliath | A language model created by combining two fine-tuned Llama 2 70B models into one. | |
| notux | https://ollama.ai//library/notux | A top-performing mixture of experts model, fine-tuned with high-quality data. | |
| falcon2 | https://ollama.ai//library/falcon2 | Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens. | |
| open-orca-platypus2 | https://ollama.ai//library/open-orca-platypus2 | Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. Designed for chat and code generation. | |
| notus | https://ollama.ai//library/notus | A 7B chat model fine-tuned with high-quality data and based on Zephyr. | |
| dbrx | https://ollama.ai//library/dbrx | DBRX is an open, general-purpose LLM created by Databricks. | |
| internlm2 | https://ollama.ai//library/internlm2 | InternLM2.5 is a 7B parameter model tailored for practical scenarios with outstanding reasoning capability. | |
| alfred | https://ollama.ai//library/alfred | A robust conversational model designed to be used for both chat and instruct use cases. | |
| llama3-groq-tool-use | https://ollama.ai//library/llama3-groq-tool-use | A series of models from Groq that represent a significant advancement in open-source AI capabilities for tool use/function calling. | |
| mathstral | https://ollama.ai//library/mathstral | MathΣtral: a 7B model designed for math reasoning and scientific discovery by Mistral AI. | |
| firefunction-v2 | https://ollama.ai//library/firefunction-v2 | An open weights function calling model based on Llama 3, competitive with GPT-4o function calling capabilities. | |
| nuextract | https://ollama.ai//library/nuextract | A 3.8B model fine-tuned on a private high-quality synthetic dataset for information extraction, based on Phi-3. |
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