Filter by
(1)
Snowflake’s Arctic-Embed v2.0 boosts multilingual retrieval and efficiency
11m
10K+
Multilingual MoE text embedding model with 768D vectors, 100 languages, 512 token context
5m
10K+
IBM's Granite 3.0 large language model (LLM), optimized for local large language model operations
2y
10K+
8
3B long-context instruct model with RL alignment, IF, tool use, and enterprise optimization.
1y
10K+
State-of-the-art multilingual MoE text embedding model for retrieval across ~100 languages
5m
10K+
119B MoE model with switchable reasoning mode, multimodal vision, and 256k context window
5m
10K+
IBM's Granite 3.0 large language model (LLM), optimized for local large language model operations
2y
10K+
1
IBM's Granite 3.0 large language model (LLM), optimized for local large language model operations
2y
10K+
4
IBM's Granite 3.1 large language model (LLM), optimized for local large language model operations
1y
10K+
9
Base image for the gstack (Claude Code + Garry's Stack) kit for Docker Sandboxes
16h
10K+
1
Minimal terminal coding agent with extensible tools, skills, and TUI
4d
9.9K
Base image for the Hermes Agent kit for Docker Sandboxes
16h
8.9K
1
The self-improving AI agent by Nous Research — creates skills from experience, supports 200+ mode.
9d
7.9K
6