Instructions to use alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf alibaybay/MiniMax-H3-Prompt-Rewriter-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 alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf alibaybay/MiniMax-H3-Prompt-Rewriter-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 alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF:Q4_K_M

Use Docker

docker model run hf.co/alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF:Q4_K_M

Ollama
How to use alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF with Ollama:
```
ollama run hf.co/alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF with Docker Model Runner:
```
docker model run hf.co/alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF:Q4_K_M
```

Lemonade

How to use alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.MiniMax-H3-Prompt-Rewriter-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

MiniMax-H3-Prompt-Rewriter-GGUF / README.md

alibaybay

Upload README.md with huggingface_hub

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	---
	license: apache-2.0
	base_model: Qwen/Qwen2.5-Omni-7B
	tags:
	- gguf
	- ollama
	- qwen2
	- minimax-h3
	- prompt-rewriter
	- video-generation
	language:
	- en
	- zh
	pipeline_tag: text-generation
	---

	# MiniMax-H3 Prompt Rewriter (Qwen2.5-Omni-7B + LoRA) - GGUF

	This repository contains the quantized GGUF weights for MiniMax-H3 Prompt Rewriter, created by merging the LoRA adapter [lightx2v/MiniMax-H3-Prompt-Rewriter-LoRA-Omni](https://huggingface.co/lightx2v/MiniMax-H3-Prompt-Rewriter-LoRA-Omni) with [Qwen/Qwen2.5-Omni-7B](https://huggingface.co/Qwen/Qwen2.5-Omni-7B) (Thinker backbone).

	Quantized using llama.cpp on Modal.com GPU infrastructure.

	## Available Quantizations

	\| File \| Size \| Description \| Recommended For \|
	\| :--- \| :--- \| :--- \| :--- \|
	\| MiniMax-H3-Prompt-Rewriter-Q4_K_M.gguf \| ~4.5 GB \| 4-bit medium quantization \| CPU & low-VRAM GPUs (Ollama) \|
	\| MiniMax-H3-Prompt-Rewriter-Q8_0.gguf \| ~7.5 GB \| 8-bit high-fidelity quantization \| Near-FP16 accuracy \|

	## Quick Start with Ollama

	You can run this model directly via Ollama:

	`ash
	ollama run hf.co/alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF:Q4_K_M
	`

	Or using the included Modelfile:
	`ash
	ollama create minimax-h3-rewriter -f ./Modelfile
	ollama run minimax-h3-rewriter
	`

	## Prompt Rewriting Schema
	The model restructures short user requests into the official MiniMax-H3 video & audio generation schema:
	- integrated_multimodal_description: Shot breakdown, camera motions, and visual styling.
	- overall_soundscape: Ambient sound, physical foley, non-verbal sound.
	-
	on_diegetic_music: Instrumentation, tempo, and background score.