61 - 90 of 315 available models.
model

An open-source visual language model that interprets images via text prompts, fast and powerful.

9m

7.9K

2

model

FunctionGemma is a 270M open model for fine-tuned, offline function-calling agents on small devices.

6m

7.4K

1

model

Granite Embedding Multilingual is a 278 million parameter, encoder‑only XLM‑RoBERTa‑style

11m

7.4K

4

model

32B long-context instruct model with RL alignment, IF, tool use, and enterprise optimization.

10m

6.6K

1

model

3B long-context instruct model with RL alignment, IF, tool calling, and enterprise readiness.

10m

5.7K

2

model

Granite-4.0-h-nano: lightweight instruct model trained via SFT, RL, and merging on diverse data.

9m

5.5K

1

model

Snowflake’s Arctic-Embed v2.0 boosts multilingual retrieval and efficiency

8m

5.4K

model

Embedding Gemma is a state-of-the-art text embedding model from Google DeepMind

9m

4.5K

model

3B long-context instruct model with RL alignment, IF, tool use, and enterprise optimization.

10m

4.1K

model

all-MiniLM-L6-v2 is a sentence-transformers, maps sentences & paragraphs to a 384 dimensional vector

9m

3.8K

1

model

Multilingual MoE text embedding model with 768D vectors, 100 languages, 512 token context

3m

3.5K

model + 1 more

Google’s latest Gemma, small yet strong for chat and generation

1m

1.2K

model

744B MoE language model with 40B active params for reasoning, coding, and agentic tasks (FP8)

5m

963

model

SmolVLM: lightweight multimodal model for video, image, and text analysis, optimized for devices

6m

830

model

Image generation model, uses a base latent diffusion model plus a refiner.

6m

809

model

30.5B MoE coding model with tool calling, browser automation, and 256K context support

5m

804

model

Ministral 3: compact vision-enabled model with near-24B performance, optimized for local edge use

7m

801

model

9B multimodal model with vision, speech, and full-duplex streaming for text, image, video, audio

5m

789

model

TranslateGemma: lightweight Gemma 3–based translation models for 55 languages, deployable anywhere

6m

756

model

Google’s latest Gemma, in its QAT (quantization aware trained) variant

10m

729

model

TranslateGemma: lightweight Gemma 3–based translation models for 55 languages, deployable anywhere

6m

714

model

Ministral 3: compact vision-enabled model with near-24B performance, optimized for local edge use

7m

673