OLMo 1B · Ollama

olmo2

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.

7b 13b

3.7M Pulls 9 Tags Updated 1 year ago

aga/OLMoE

A Mixture-of-Experts LLM with 1B active and 7B total parameters.

7b

177 Pulls 6 Tags Updated 1 year ago

lly/olmoe-1b-7b-0125-instruct

Copy of https://huggingface.co/allenai/OLMoE-1B-7B-0125-Instruct-GGUF

160 Pulls 1 Tag Updated 1 year ago

tomasmcm/zephyr-1b-olmo-sft-qlora

This model is a fine-tuned version of allenai/OLMo-1B-hf on the HuggingFaceH4/ultrachat_200k dataset

53 Pulls 1 Tag Updated 2 years ago

transkatgirl/OLMo-2-1B

Base model

20 Pulls 1 Tag Updated 1 year ago

deepseek-v3

A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.

671b

3.8M Pulls 5 Tags Updated 1 year ago

yi-coder

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.

1.5b 9b

1M Pulls 67 Tags Updated 1 year ago

transkatgirl/OLMo-2-13B

Base model

7 Pulls 3 Tags Updated 1 year ago

starcoder2

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

3b 7b 15b

2.9M Pulls 67 Tags Updated 1 year ago

oamazonasgabriel/lfm2.5-8b-a1b

A general-purpose 8.3B Mixture-of-Experts model from Liquid AI that activates only ~1.5B parameters per token — delivering strong reasoning, tool calling, and multilingual support while fitting comfortably in 8 GB VRAM.

18 Pulls 1 Tag Updated 1 week ago

PhysicsObsession/blaze

Blaze is a lightweight yet remarkably capable AI model, fine-tuned from the robust foundation of LLaMA 3.2 (1B parameters). Designed with a focus on efficiency and performance. We believe in providing credit to the original creator.

tools

48 Pulls 1 Tag Updated 10 months ago

adi0adi/ollama_stheno-8b_v3.1_q6k

Model made ideally for 1-on-1 roleplay, but one that is able to handle scenarios, RPGs and storywriting fine. One of more capable among 8b, uses reliable L3.

15.9K Pulls 1 Tag Updated 1 year ago

org/deepseek-v3-fast

Single file version with (Dynamic Quants) A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.

115 Pulls 4 Tags Updated 1 year ago

oamazonasgabriel/lfm2.5-2.6b

LFM2.5-2.6B by Liquid AI — deploy agents everywhere. A 2.6B dense reasoning model (Q4_K_M, ~1.7 GB) with native tool calling, 128K context, and 16-language support. Runs on any 8 GB GPU.

172 Pulls 1 Tag Updated yesterday

oleg_pivo2014/met2e

Met2e is a new model from the MET2 series, based on the latest large M21 dataset, offering a set of models based on Qwen.

0.8b 3b

26 Pulls 4 Tags Updated 9 months ago

ArcOffical/pico-1b

PiCo 1B is a compact, high-performance language model with ~1.46 billion parameters. Despite its small size, it achieves competitive performance across reasoning, knowledge, and coding benchmarks, particularly excelling in science reasoning tasks.

17 Pulls 1 Tag Updated 1 week ago

oamazonasgabriel/lfm2-1.2b-tool

LFM2-1.2B-Tool — a specialized 1.2B tool-calling model from Liquid AI, fine-tuned exclusively for concise and precise function calling. Uses a hybrid LIV+GQA architecture, outperforms thinking models of similar size without chain-of-thought overhead.

41 Pulls 1 Tag Updated 1 month ago

HSR-projects/OpenMODEL-1.0

OpenMODEL-1.0 is created by HSR-projects trained using Nvidia GeForce RTX 5090 with 16B tokens

tools

13 Pulls 1 Tag Updated 4 months ago

huihui_ai/deepseek-v3

A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.

7,196 Pulls 2 Tags Updated 1 year ago

huihui_ai/deepseek-v3-abliterated

A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.

671b

4,040 Pulls 5 Tags Updated 1 year ago