Instructions to use kingjones777/BTL-4-ROCmFP4-STRIX-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 kingjones777/BTL-4-ROCmFP4-STRIX-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 kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP
# Run inference directly in the terminal:
llama cli -hf kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP
# Run inference directly in the terminal:
llama cli -hf kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP

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 kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP
# Run inference directly in the terminal:
./llama-cli -hf kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP

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 kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP
# Run inference directly in the terminal:
./build/bin/llama-cli -hf kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP

Use Docker

docker model run hf.co/kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP

LM Studio
Jan

vLLM

How to use kingjones777/BTL-4-ROCmFP4-STRIX-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "kingjones777/BTL-4-ROCmFP4-STRIX-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": "kingjones777/BTL-4-ROCmFP4-STRIX-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP

Ollama
How to use kingjones777/BTL-4-ROCmFP4-STRIX-GGUF with Ollama:
```
ollama run hf.co/kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP
```

Unsloth Studio

How to use kingjones777/BTL-4-ROCmFP4-STRIX-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 kingjones777/BTL-4-ROCmFP4-STRIX-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 kingjones777/BTL-4-ROCmFP4-STRIX-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for kingjones777/BTL-4-ROCmFP4-STRIX-GGUF to start chatting

How to use kingjones777/BTL-4-ROCmFP4-STRIX-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use kingjones777/BTL-4-ROCmFP4-STRIX-GGUF with Docker Model Runner:
```
docker model run hf.co/kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP
```

Lemonade

How to use kingjones777/BTL-4-ROCmFP4-STRIX-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP

Run and chat with the model

lemonade run user.BTL-4-ROCmFP4-STRIX-GGUF-Q4_0_ROCMFP

List all available models

lemonade list

Hermes Agent

How to use kingjones777/BTL-4-ROCmFP4-STRIX-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use kingjones777/BTL-4-ROCmFP4-STRIX-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "kingjones777/BTL-4-ROCmFP4-STRIX-GGUF:Q4_0_ROCMFP" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

kingjones777 commited on 11 days ago

Commit

f02ff5b

verified ·

1 Parent(s): add84ef

docs: credit ROCmFPX (charlie12345/caf), llama.cpp, AMD ROCm

Browse files

Files changed (1) hide show

README.md +29 -0

README.md CHANGED Viewed

@@ -134,3 +134,32 @@ Compiled from Hugging Face repository metadata — file sizes, shipped files, qu
 *Base model: [`badtheorylabs/BTL-4`](https://huggingface.co/badtheorylabs/BTL-4). Generated from Hub metadata; download counts move over time.*
 <!-- PEER-TABLE:END -->

 *Base model: [`badtheorylabs/BTL-4`](https://huggingface.co/badtheorylabs/BTL-4). Generated from Hub metadata; download counts move over time.*
 <!-- PEER-TABLE:END -->
+<!-- CREDITS:START -->
+## Acknowledgements
+This build would not exist without the work below. Please star and follow these
+projects — the quantisation format used here is their engineering, not mine.
+**[ROCmFPX](https://github.com/charlie12345/ROCmFPX) — maintained by
+[`charlie12345`](https://github.com/charlie12345) / `caf`**
+The ROCmFP4 / ROCmFPX tensor formats (ggml types 100–106) exist only in this fork.
+Every ROCmFP4 file in this repository was produced with its `llama-quantize`, and
+runs on its runtime. The fork also credits collaborators **ciru-ai**, **Tom Turney**,
+**PlunderStruck** and **Aydan S.**, and acknowledges AMD for hardware support.
+Licensed MIT, based on upstream llama.cpp.
+**[llama.cpp](https://github.com/ggml-org/llama.cpp) — ggml-org and contributors**
+The inference engine, GGUF format and conversion tooling everything here is built on.
+**[AMD ROCm](https://github.com/ROCm/ROCm)**
+The compute platform these builds target — ROCm 7.2.4 on gfx1151 / Radeon 8060S.
+**Base model authors** — see `base_model` in the metadata above; all model weights,
+licences and capabilities are theirs. This repository contributes quantisation and
+measurement only.
+If you use these files, please credit ROCmFPX alongside this repository.
+<!-- CREDITS:END -->