Instructions to use prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF", dtype="auto")

llama-cpp-python

How to use prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF",
	filename="KAIROS-MM-Qwen2.5-VL-7B-SFT.IQ4_XS.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF:Q4_K_M

Use Docker

docker model run hf.co/prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF with Ollama:
```
ollama run hf.co/prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF:Q4_K_M
```

Unsloth Studio

How to use prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF to start chatting

Docker Model Runner
How to use prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF with Docker Model Runner:
```
docker model run hf.co/prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF:Q4_K_M
```

Lemonade

How to use prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull prithivMLmods/KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-GGUF-Q4_K_M

List all available models

lemonade list

KAIROS-MM-Qwen2.5-VL-7B-SFT-GGUF-AIO-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-7B-SFT-GGUF-AIO [GGUF]

File Name	Quant Type	File Size	File Link
KAIROS-MM-Qwen2.5-VL-7B-SFT.IQ4_XS.gguf	IQ4_XS	4.25 GB	Download
KAIROS-MM-Qwen2.5-VL-7B-SFT.Q2_K.gguf	Q2_K	3.02 GB	Download
KAIROS-MM-Qwen2.5-VL-7B-SFT.Q3_K_L.gguf	Q3_K_L	4.09 GB	Download
KAIROS-MM-Qwen2.5-VL-7B-SFT.Q3_K_M.gguf	Q3_K_M	3.81 GB	Download
KAIROS-MM-Qwen2.5-VL-7B-SFT.Q3_K_S.gguf	Q3_K_S	3.49 GB	Download
KAIROS-MM-Qwen2.5-VL-7B-SFT.Q4_K_M.gguf	Q4_K_M	4.68 GB	Download
KAIROS-MM-Qwen2.5-VL-7B-SFT.Q4_K_S.gguf	Q4_K_S	4.46 GB	Download
KAIROS-MM-Qwen2.5-VL-7B-SFT.Q5_K_M.gguf	Q5_K_M	5.44 GB	Download
KAIROS-MM-Qwen2.5-VL-7B-SFT.Q5_K_S.gguf	Q5_K_S	5.32 GB	Download
KAIROS-MM-Qwen2.5-VL-7B-SFT.Q6_K.gguf	Q6_K	6.25 GB	Download
KAIROS-MM-Qwen2.5-VL-7B-SFT.Q8_0.gguf	Q8_0	8.1 GB	Download
KAIROS-MM-Qwen2.5-VL-7B-SFT.f16.gguf	F16	15.2 GB	Download
KAIROS-MM-Qwen2.5-VL-7B-SFT.mmproj-Q8_0.gguf	mmproj-Q8_0	856 MB	Download
KAIROS-MM-Qwen2.5-VL-7B-SFT.mmproj-f16.gguf	mmproj-f16	1.35 GB	Download