Text Generation
MiniMax H3
GGUF
English
Chinese
ollama
qwen2
prompt-rewriter
video-generation
conversational
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
- llama.cpp
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
File size: 1,618 Bytes
30f7125 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | ---
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.
|