Physical Long-Horizon Reasoning
Collection
SFT, RL
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5 items
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Updated
KAIROS-MM-Qwen2.5-VL-SFT-GGUF
KAIROS-MM-Qwen2.5-VL-7B-SFT is a multimodal reasoning model based on Qwen2.5-VL, designed to enable robots and vision AI agents to reason about the real world using physics understanding, prior knowledge, and common sense. The model understands space, time, and fundamental physical principles, and is well suited for planning, decision making, and long horizon video reasoning in embodied and agentic systems. It serves as a planning and reasoning backbone for embodied agents, allowing them to infer what actions to take next based on visual observations, temporal context, and physical constraints.
KAIROS-MM-Qwen2.5-VL-SFT [GGUF]
| File Name | Quant Type | File Size | File Link |
|---|---|---|---|
| KAIROS-MM-Qwen2.5-VL-SFT.BF16.gguf | BF16 | 15.2 GB | Download |
| KAIROS-MM-Qwen2.5-VL-SFT.F16.gguf | F16 | 15.2 GB | Download |
| KAIROS-MM-Qwen2.5-VL-SFT.Q8_0.gguf | Q8_0 | 8.1 GB | Download |
| KAIROS-MM-Qwen2.5-VL-SFT.mmproj-bf16.gguf | mmproj-bf16 | 1.36 GB | Download |
| KAIROS-MM-Qwen2.5-VL-SFT.mmproj-f16.gguf | mmproj-f16 | 1.36 GB | Download |
| KAIROS-MM-Qwen2.5-VL-SFT.mmproj-q8_0.gguf | mmproj-q8_0 | 856 MB | Download |
Quants Usage
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Model tree for prithivMLmods/KAIROS-MM-Qwen2.5-VL-SFT-GGUF
Base model
Qwen/Qwen2.5-VL-7B-Instruct