31 - 60 of 13,078,353 available results.
model

Nomic Embed Text v1 is an open‑source, fully auditable text embedding model

1m

10K+

4

model

397B-parameter MoE multimodal LLM with 17B active params, 262K context, 201 languages

3m

10K+

1

model

Qwen3 is the latest Qwen LLM, built for top-tier coding, math, reasoning, and language tasks.

8m

10K+

1

model

Granite Docling is a multimodal model for efficient document conversion.

9m

10K+

2

model

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

10m

10K+

3

model

Devstral Small 2 is an FP8 instruct LLM for agentic SWE tasks, codebase tooling, and SWE-bench.

6m

10K+

4

model

Safety reasoning models for policy-based text classification and foundational safety tasks.

8m

10K+

2

model

GLM-4.7-Flash is a top 30B-A3B MoE, balancing strong performance with efficient deployment.

5m

10K+

3

model

Qwen3 Embedding: multilingual models for advanced text/ranking tasks like retrieval & clustering.

8m

10K+

2

model

Multilingual reranking model for text retrieval, scoring document relevance across 119 languages.

7m

10K+

3

model

OpenAI’s open-weight models designed for powerful reasoning, agentic tasks

8m

10K+

2

model

Mistral fine-tuned via NVIDIA NeMo for smoother enterprise use

1y

10K+

7

model

Multilingual reranking model for text retrieval, scoring document relevance across 119 languages.

7m

10K+

model

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

4m

10K+

3

model

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

8m

10K+

2

model

Multimodal AI model with 35B MoE architecture for coding agents, reasoning, and vision tasks

2m

10K+

model

Designed for reasoning, agent and general capabilities, and versatile developer-friendly features

10m

10K+

2

model

24B multimodal instruction model by Mistral AI, tuned for accuracy, tool use & fewer repeats

9m

10K+

1

model

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

9m

10K+

4

model

mxbai-embed-large-v1 is a top English embed model by Mixedbread AI, great for RAG and more.

1y

10K+

3

model

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

8m

10K+

image

IBM's Granite 3.0 large language model (LLM), optimized for local large language model operations

1y

10K+

1

model

Agentic coding LLM (24B) fine-tuned from Mistral-Small-3.1 with a 128K context window

9m

10K+

4

model

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

6m

10K+

2

model

7B long-context instruct model with RL alignment, IF, tool use, and enterprise optimization.

9m

8.4K

4

model

Experimental Qwen variant—lean, fast, and a bit mysterious

1y

8.1K

3

model

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

9m

7.8K

2

model

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

11m

7.1K

4

model

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

6m

7.1K

1

image

4-bit quantized version of model Granite-7b-lab

1y

7.1K

5