(1)
IBM's Granite 3.0 large language model (LLM), optimized for local large language model operations
2y
10K+
8
An open-source visual language model that interprets images via text prompts, fast and powerful.
1y
10K+
2
32B long-context instruct model with RL alignment, IF, tool use, and enterprise optimization.
1y
10K+
1
3B long-context instruct model with RL alignment, IF, tool calling, and enterprise readiness.
1y
10K+
2
Multilingual MoE text embedding model with 768D vectors, 100 languages, 512 token context
6m
10K+
Snowflake’s Arctic-Embed v2.0 boosts multilingual retrieval and efficiency
12m
10K+
IBM's Granite 3.0 large language model (LLM), optimized for local large language model operations
2y
10K+
1
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
6m
10K+
Base image for the gstack (Claude Code + Garry's Stack) kit for Docker Sandboxes
17h
10K+
2
119B MoE model with switchable reasoning mode, multimodal vision, and 256k context window
6m
10K+
IBM's Granite 3.1 large language model (LLM), optimized for local large language model operations
2y
10K+
9
IBM's Granite 3.0 large language model (LLM), optimized for local large language model operations
2y
10K+
4
Base image for the Google Antigravity kit for Docker Sandboxes
17h
10K+
Base image for the Hermes Agent kit for Docker Sandboxes
17h
10K+
3