lam · Ollama

laguna-xs.2

Laguna XS.2 is a 33B total parameter Mixture-of-Experts model with 3B activated parameters per token designed for agentic coding and long-horizon work on a local machine.

tools thinking

7,300 Pulls 7 Tags Updated 1 week ago

llama3-gradient

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

8b 70b

935.2K Pulls 35 Tags Updated 2 years ago

lfm2

LFM2 is a family of hybrid models designed for on-device deployment. LFM2-24B-A2B is the largest model in the family, scaling the architecture to 24 billion parameters while keeping inference efficient.

tools 24b

1.1M Pulls 6 Tags Updated 2 months 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

114.1M 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

3.8M Pulls 14 Tags Updated 1 year ago

nemotron3

NVIDIA Nemotron 3 Nano Omni is a multimodal large language model that unifies video, audio, image, and text understanding to support enterprise-grade Q&A, summarization, transcription, and document intelligence workflows.

vision tools thinking audio 33b

569.9K Pulls 4 Tags Updated 1 week ago

qwen3-coder-next

Qwen3-Coder-Next is a coding-focused language model from Alibaba's Qwen team, optimized for agentic coding workflows and local development.

tools cloud

1.3M Pulls 4 Tags Updated 3 months ago

lfm2.5-thinking

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

tools 1.2b

1.2M Pulls 5 Tags Updated 3 months ago

minimax-m2.5

MiniMax-M2.5 is a state-of-the-art large language model designed for real-world productivity and coding tasks.

tools thinking cloud

508.1K Pulls 1 Tag Updated 2 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

423.3K Pulls 15 Tags Updated 4 months ago

deepseek-ocr

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

vision 3b

439K Pulls 3 Tags Updated 5 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

269.7K Pulls 10 Tags Updated 4 months ago

mistral-large-3

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

vision tools cloud

49.1K Pulls 1 Tag Updated 5 months 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

3.7M Pulls 59 Tags Updated 6 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

1.9M Pulls 17 Tags Updated 11 months ago

minimax-m2

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

tools thinking cloud

441.4K Pulls 1 Tag Updated 6 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.

tools cloud

65.4K Pulls 1 Tag Updated 7 months ago

llama3.2

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

tools 1b 3b

68.4M Pulls 63 Tags Updated 1 year 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

28.5M Pulls 58 Tags Updated 7 months 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

29.5M Pulls 133 Tags Updated 1 year ago