Instructions to use Hal0ai/hal0-brain-sft-ROCmFPX-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Hal0ai/hal0-brain-sft-ROCmFPX-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Hal0ai/hal0-brain-sft-ROCmFPX-GGUF",
	filename="hal0-brain-sft-F16.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Hal0ai/hal0-brain-sft-ROCmFPX-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 Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16

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 Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16

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 Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16

Use Docker

docker model run hf.co/Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16

LM Studio
Jan

vLLM

How to use Hal0ai/hal0-brain-sft-ROCmFPX-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Hal0ai/hal0-brain-sft-ROCmFPX-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": "Hal0ai/hal0-brain-sft-ROCmFPX-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16

Ollama
How to use Hal0ai/hal0-brain-sft-ROCmFPX-GGUF with Ollama:
```
ollama run hf.co/Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16
```

Unsloth Studio

How to use Hal0ai/hal0-brain-sft-ROCmFPX-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 Hal0ai/hal0-brain-sft-ROCmFPX-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 Hal0ai/hal0-brain-sft-ROCmFPX-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Hal0ai/hal0-brain-sft-ROCmFPX-GGUF to start chatting

How to use Hal0ai/hal0-brain-sft-ROCmFPX-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16

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": "Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Hal0ai/hal0-brain-sft-ROCmFPX-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 Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16

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 Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use Hal0ai/hal0-brain-sft-ROCmFPX-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16

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 "Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16" \
  --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"

Docker Model Runner
How to use Hal0ai/hal0-brain-sft-ROCmFPX-GGUF with Docker Model Runner:
```
docker model run hf.co/Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16
```

Lemonade

How to use Hal0ai/hal0-brain-sft-ROCmFPX-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Hal0ai/hal0-brain-sft-ROCmFPX-GGUF:F16

Run and chat with the model

lemonade run user.hal0-brain-sft-ROCmFPX-GGUF-F16

List all available models

lemonade list

hal0-brain-sft-ROCmFPX-GGUF / README.md

thinmint

Publish verified F16 and ROCmFPX agent quants

29b8461 verified 8 days ago

preview code

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	---
	license: apache-2.0
	pipeline_tag: text-generation
	base_model: Hal0ai/hal0-brain-sft
	base_model_relation: quantized
	tags:
	- hal0
	- hal0-brain
	- gguf
	- rocmfpx
	- rocmfp4
	- rocmfp8
	- agent
	- tool-use
	language:
	- en
	---

	![HAL0 BRAIN — advanced reasoning, tool calling, and platform management](hal0-brain-banner.png)

	# HAL0 BRAIN — ROCmFPX GGUF

	Advanced reasoning · Tool calling · Platform management

	HAL0 BRAIN is a mini-agent administrator trained on the hal0 system: its services, profiles, slots, model lifecycle, diagnostics, and tool workflows. This repository packages the verified F16 reference plus two agent-oriented ROCmFPX quants for structured reasoning, tool calling, and platform management.

	## Files

	\| File \| Preset \| Bytes \| SHA-256 \| `general.file_type` \| Observed tensor types \|
	\|---\|---:\|---:\|---\|---:\|---\|
	\| `hal0-brain-sft-F16.gguf` \| F16 reference \| 2,166,552,096 \| `ed9d28c4eac1d7c291bc80d9410c243a3d28e655921ccaf90f2b6619aa24d2c3` \| 1 \| 170 `F16`, 49 `F32` \|
	\| `hal0-brain-sft-Q4_0_ROCMFP4_COHERENT.gguf` \| `Q4_0_ROCMFP4_COHERENT` \| 664,952,352 \| `062219355646f09e184cfb30cbfdfc429d70275f3be4d996d32644ec2b20db44` \| 102 \| 169 `Q4_0_ROCMFP4`, 1 `Q6_K`, 49 `F32` \|
	\| `hal0-brain-sft-Q8_0_ROCMFPX_AGENT.gguf` \| `Q8_0_ROCMFPX_AGENT` \| 1,144,682,016 \| `eeb38e45877d26a5923d2ec22e1c887a0b12f0c40f9df72015bd73f11d1263e4` \| 115 \| 58 `Q8_0_ROCMFPX`, 112 protected `Q8_0`, 49 `F32` \|
	\| `chat-long-context.hal0profile.json` \| portable hal0 profile \| — \| profile checksum `sha256:241af4cd2636ac1da32a8a7ca0d856724445242cfcde88a208b702b155bdee47` \| — \| `hal0.profile` schema 1 \|

	The Agent presets deliberately retain higher-precision tensors where structured behavior is most sensitive. The filenames are descriptive, but the format claims above come from ROCmFPX-aware GGUF inspection—not filename inference.

	## Provenance

	- Base model: [`Hal0ai/hal0-brain-sft`](https://huggingface.co/Hal0ai/hal0-brain-sft)
	- Verified F16 GGUF source: [`Hal0ai/hal0-brain-sft-GGUF`](https://huggingface.co/Hal0ai/hal0-brain-sft-GGUF) at revision `6b190df6e816cc806f7fa7ae3de7248f5551e00b`
	- F16 source SHA-256: `ed9d28c4eac1d7c291bc80d9410c243a3d28e655921ccaf90f2b6619aa24d2c3`
	- Quantizer: [`charlie12345/ROCmFPX`](https://github.com/charlie12345/ROCmFPX) at commit `61f2f2d7bc4955e9bca821095ef69125837133b5`
	- Architecture: Llama-compatible GGUF, approximately 1.08B parameters
	- License: Apache-2.0

	Both quantized files were produced independently from F16. Neither was requantized from another low-bit artifact.

	## Runtime compatibility

	\| Artifact \| Stock llama.cpp \| ROCmFPX CPU reference \| ROCmFPX HIP/ROCm \| ROCmFPX Vulkan \|
	\|---\|---:\|---:\|---:\|---:\|
	\| F16 \| ✅ \| ✅ \| ✅ \| ✅ \|
	\| Q4 ROCmFP4 Coherent \| ❌ \| ✅ \| ✅ \| ✅ \|
	\| Q8 ROCmFPX Agent \| ❌ \| ✅ \| ✅ \| ✅ \|

	The Q4 and Q8 files contain custom GGML tensor types and require a ROCmFPX-capable runner. Current stock llama.cpp rejects the Q4 tensor type ID `100` and Q8 tensor type ID `103` as invalid/unknown. LM Studio, Ollama, or another stock llama.cpp package must not be assumed compatible.

	hal0 pins the unified runner by immutable digest:

	```text
	ghcr.io/hal0ai/hal0-rocmfpx@sha256:fd6b02a720e633e402e929e19eedefff52aeec18e5de8f43e525689e523985f3
	```

	That runner contains the MiniCPM5 pre-tokenizer mapping required by this model and supports both ROCm/HIP and Vulkan ROCmFPX paths.

	## Download

	Install the Hugging Face CLI and authenticate only if your environment requires it:

	```bash
	pip install -U huggingface_hub
	```

	F16:

	```bash
	hf download Hal0ai/hal0-brain-sft-ROCmFPX-GGUF \
	hal0-brain-sft-F16.gguf --local-dir .
	```

	ROCmFP4 Coherent Agent:

	```bash
	hf download Hal0ai/hal0-brain-sft-ROCmFPX-GGUF \
	hal0-brain-sft-Q4_0_ROCMFP4_COHERENT.gguf --local-dir .
	```

	ROCmFP8 Agent:

	```bash
	hf download Hal0ai/hal0-brain-sft-ROCmFPX-GGUF \
	hal0-brain-sft-Q8_0_ROCMFPX_AGENT.gguf --local-dir .
	```

	Portable hal0 long-context profile:

	```bash
	hf download Hal0ai/hal0-brain-sft-ROCmFPX-GGUF \
	chat-long-context.hal0profile.json --local-dir .
	```

	## Run with ROCmFPX

	ROCm/HIP:

	```bash
	llama-cli \
	-m hal0-brain-sft-Q8_0_ROCMFPX_AGENT.gguf \
	-dev ROCm0 -ngl 999 -fa on -c 8192 -b 512 -ub 512 --jinja
	```

	Vulkan:

	```bash
	llama-cli \
	-m hal0-brain-sft-Q4_0_ROCMFP4_COHERENT.gguf \
	-dev Vulkan0 -ngl 999 -fa on -c 8192 -b 512 -ub 512 --jinja
	```

	OpenAI-compatible server:

	```bash
	llama-server \
	-m hal0-brain-sft-Q8_0_ROCMFPX_AGENT.gguf \
	--host 0.0.0.0 --port 8080 \
	-dev Vulkan0 -ngl 999 -fa on -c 8192 -b 512 -ub 512 --jinja
	```

	Choose `ROCm0` or `Vulkan0` according to the devices reported by the ROCmFPX runner. Long context and large batches consume substantial memory; tune them for the host.

	## Tool-calling contract

	hal0's catalog declares the `hal0-function-xml` prompt contract. A complete tool call has this shape:

	```xml
	<function name="memory_add">
	<param name="text">Remember that the brain slot uses the ROCmFPX runner.</param>
	</function>
	```

	The hal0 integration validates the tool schema, allows at most one complete tool call per turn, and stops after `</function>`.

	## Portable hal0 profile

	`chat-long-context.hal0profile.json` is a checksummed, portable `hal0.profile` schema-1 envelope. It includes:

	```text
	-fa on -ctk q8_0 -ctv q8_0 -b 2048 -ub 512 --parallel 1
	--no-mmap --no-context-shift --poll 100 --poll-batch 1 --metrics --no-webui
	```

	These are performance-oriented defaults, not a hardware guarantee. Reduce context/batch settings or use another profile when the host cannot sustain them.

	### Dashboard import

	Open Profiles, choose Import, select `chat-long-context.hal0profile.json`, review the dry-run result, and commit the import. If `chat-long-context` already exists, choose another name rather than overwriting it implicitly.

	### REST API dry-run and import

	Dry-run validates the envelope and checksum without changing the profile catalog:

	```bash
	PROFILE=chat-long-context.hal0profile.json
	jq -n --slurpfile envelope "$PROFILE" \
	'{envelope:$envelope[0],name:"chat-long-context",dry_run:true}' \|
	curl --fail-with-body -sS http://127.0.0.1:8080/api/profiles/import \
	-H 'content-type: application/json' --data-binary @-
	```

	Commit only after the dry-run reports `valid: true`, `checksum_ok: true`, and no unwanted collision:

	```bash
	PROFILE=chat-long-context.hal0profile.json
	jq -n --slurpfile envelope "$PROFILE" \
	'{envelope:$envelope[0],name:"chat-long-context",dry_run:false}' \|
	curl --fail-with-body -sS http://127.0.0.1:8080/api/profiles/import \
	-H 'content-type: application/json' --data-binary @-
	```

	## Validation record

	- ROCmFPX-aware inspection confirmed every file type and tensor count in the table.
	- ROCmFPX CPU reference execution loaded and benchmarked both custom artifacts.
	- The catalog runner image includes the required MiniCPM5 tokenizer mapping and ROCmFPX ROCm/Vulkan kernels.
	- Stock llama.cpp `e8e6c7af2456fd50bb62f7a2bbd642e6fb14ae77` rejected Q4 type `100` and Q8 type `103` before tensor loading.

	## Related

	- [hal0](https://github.com/Hal0ai/hal0)
	- [ROCmFPX](https://github.com/charlie12345/ROCmFPX)
	- [Hal0ai model collection](https://huggingface.co/collections/Hal0ai/hal0-brain-6a5e1859dbae8e442c659141)