Displaying 1 to 30 of 74 repositories
Nomic Embed Text v1 is an open‑source, fully auditable text embedding model
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Multimodal LLM with video, audio, image, and text understanding for enterprise applications
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Multilingual MoE text embedding model with 768D vectors, 100 languages, 512 token context
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3.1K
State-of-the-art multilingual MoE text embedding model for retrieval across ~100 languages
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2.2K
Efficient 284B MoE language model with 1M token context and multi-mode reasoning capabilities
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3
Multimodal AI model with 35B MoE architecture for coding agents, reasoning, and vision tasks
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1T MoE multimodal agentic model with long-horizon coding, swarm orchestration, and native vision
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119B MoE model with switchable reasoning mode, multimodal vision, and 256k context window
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119B parameter hybrid model with reasoning, vision, and code capabilities (1M token context)
2m
8.7K
Multimodal LLM with 35B parameters for coding, agentic tasks, and vision-language understanding
3m
10K+
Gemma 4: multimodal open AI models by Google, optimized for reasoning, coding, and long context.
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397B MoE model with 17B activation for reasoning, coding, agents, and multimodal understanding
3m
100K+
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397B-parameter MoE multimodal LLM with 17B active params, 262K context, 201 languages
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744B MoE language model with 40B active params for reasoning, coding, and agentic tasks (FP8)
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Advanced coding agent model with 80B params (3B active MoE) for code generation and debugging
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Efficient 80B MoE coding model with 3B activated params, 256K context, and agentic capabilities
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Image generation model, uses a base latent diffusion model plus a refiner.
5m
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GLM-4.7-Flash is a top 30B-A3B MoE, balancing strong performance with efficient deployment.
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GLM-4.7-Flash is a top 30B-A3B MoE, balancing strong performance with efficient deployment.
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3
Devstral Small 2 is an FP8 instruct LLM for agentic SWE tasks, codebase tooling, and SWE-bench.
6m
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4
FunctionGemma is a 270M open model for fine-tuned, offline function-calling agents on small devices.
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7.1K
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FunctionGemma is a 270M open model for fine-tuned, offline function-calling agents on small devices.
6m
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Kimi K2 Thinking: open-source agent with deep reasoning, stable tool use, fast INT4, 256k context.
7m
50K+
4
Kimi K2 Thinking: open-source agent with deep reasoning, stable tool use, fast INT4, 256k context.
7m
10K+
2
DeepSeek-V3.2 boosts efficiency and reasoning with DSA, scalable RL, agentic data—IMO/IOI wins.
7m
50K+
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Ministral 3: compact vision-enabled model with near-24B performance, optimized for local edge use
7m
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4
Ministral 3: compact vision-enabled model with near-24B performance, optimized for local edge use
7m
50K+
4
Multilingual reranking model for text retrieval, scoring document relevance across 119 languages.
7m
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3