lam · Ollama

llama3-gradient

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

8b 70b

307.7K Pulls 35 Tags Updated 1 year ago

llama3.1

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

tools 8b 70b 405b

109.6M Pulls 93 Tags Updated 1 year ago

llama3.3

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

tools 70b

3.2M Pulls 14 Tags Updated 1 year ago

lfm2.5-thinking

LFM2.5 is a new family of hybrid models designed for on-device deployment.

1.2b

27.7K Pulls 5 Tags Updated 1 week ago

qwen3-vl

The most powerful vision-language model in the Qwen model family to date.

vision tools thinking cloud 2b 4b 8b 30b 32b 235b

1.3M Pulls 59 Tags Updated 3 months ago

olmo-3

Olmo is a series of Open language models designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets.

7b 32b

114.5K Pulls 15 Tags Updated 1 month ago

deepseek-ocr

DeepSeek-OCR is a vision-language model that can perform token-efficient OCR.

vision 3b

143.1K Pulls 3 Tags Updated 2 months ago

olmo-3.1

Olmo is a series of Open language models designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets.

tools 32b

68.3K Pulls 10 Tags Updated 1 month ago

minimax-m2

MiniMax M2 is a high-efficiency large language model built for coding and agentic workflows.

cloud

47.6K Pulls 1 Tag Updated 3 months ago

kimi-k2

A state-of-the-art mixture-of-experts (MoE) language model. Kimi K2-Instruct-0905 demonstrates significant improvements in performance on public benchmarks and real-world coding agent tasks.

cloud

34.6K Pulls 1 Tag Updated 4 months ago

mistral-large-3

A general-purpose multimodal mixture-of-experts model for production-grade tasks and enterprise workloads.

cloud

14.4K Pulls 1 Tag Updated 2 months ago

qwen3

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.

tools thinking 0.6b 1.7b 4b 8b 14b 30b 32b 235b

18.4M Pulls 58 Tags Updated 3 months ago

qwen2.5vl

Flagship vision-language model of Qwen and also a significant leap from the previous Qwen2-VL.

vision 3b 7b 32b 72b

1.2M Pulls 17 Tags Updated 8 months ago

phi4-reasoning

Phi 4 reasoning and reasoning plus are 14-billion parameter open-weight reasoning models that rival much larger models on complex reasoning tasks.

14b

1.1M Pulls 9 Tags Updated 9 months ago

llama4

Meta's latest collection of multimodal models.

vision tools 16x17b 128x17b

1.1M Pulls 11 Tags Updated 7 months ago

granite3.3

IBM Granite 2B and 8B models are 128K context length language models that have been fine-tuned for improved reasoning and instruction-following capabilities.

tools 2b 8b

862.1K Pulls 3 Tags Updated 9 months ago

granite3.2-vision

A compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infographics, plots, diagrams, and more.

vision tools 2b

702.9K Pulls 5 Tags Updated 11 months ago

llama3.2

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

tools 1b 3b

55.3M Pulls 63 Tags Updated 1 year ago

qwen2.5

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.

tools 0.5b 1.5b 3b 7b 14b 32b 72b

20M Pulls 133 Tags Updated 1 year ago

qwen2.5-coder

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

tools 0.5b 1.5b 3b 7b 14b 32b

10.7M Pulls 199 Tags Updated 8 months ago