Text Generation
GGUF
English
Chinese
rocmfpx
rocmfp4
amd
rocm
strix-halo
quantized
humanizer
text-rewriting
gemma4
imatrix
conversational
Instructions to use Harsha001/humanizer-12b-ROCmFPX 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 Harsha001/humanizer-12b-ROCmFPX 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 Harsha001/humanizer-12b-ROCmFPX:Q4_0_ROCMFP # Run inference directly in the terminal: llama cli -hf Harsha001/humanizer-12b-ROCmFPX:Q4_0_ROCMFP
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Harsha001/humanizer-12b-ROCmFPX:Q4_0_ROCMFP # Run inference directly in the terminal: llama cli -hf Harsha001/humanizer-12b-ROCmFPX:Q4_0_ROCMFP
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf Harsha001/humanizer-12b-ROCmFPX:Q4_0_ROCMFP # Run inference directly in the terminal: ./build/bin/llama cli -hf Harsha001/humanizer-12b-ROCmFPX:Q4_0_ROCMFP
Use Docker
docker model run hf.co/Harsha001/humanizer-12b-ROCmFPX:Q4_0_ROCMFP
- Llama new
- LM Studio
- Jan
- vLLM
How to use Harsha001/humanizer-12b-ROCmFPX with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Harsha001/humanizer-12b-ROCmFPX" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Harsha001/humanizer-12b-ROCmFPX", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Harsha001/humanizer-12b-ROCmFPX:Q4_0_ROCMFP
- Ollama
How to use Harsha001/humanizer-12b-ROCmFPX with Ollama:
ollama run hf.co/Harsha001/humanizer-12b-ROCmFPX:Q4_0_ROCMFP
- Unsloth Desktop
- Docker Model Runner
How to use Harsha001/humanizer-12b-ROCmFPX with Docker Model Runner:
docker model run hf.co/Harsha001/humanizer-12b-ROCmFPX:Q4_0_ROCMFP
- Lemonade
How to use Harsha001/humanizer-12b-ROCmFPX with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Harsha001/humanizer-12b-ROCmFPX:Q4_0_ROCMFP
Run and chat with the model
lemonade run user.humanizer-12b-ROCmFPX-Q4_0_ROCMFP
List all available models
lemonade list
- Atomic Chat
File size: 486 Bytes
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Copyright 2026 Stephen Yu
This product is licensed under the Apache License, Version 2.0 (see LICENSE).
This applies to the code in this repository and to the released model weights.
The model weights are fine-tuned from google/gemma-4-12B
(https://huggingface.co/google/gemma-4-12B), which Google releases under the
Apache License, Version 2.0. The previous release in lite/ is fine-tuned from
google/gemma-4-E4B. This project is not affiliated with or endorsed by Google.
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