Instructions to use prism-ml/Bonsai-8B-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 prism-ml/Bonsai-8B-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 prism-ml/Bonsai-8B-gguf:Q1_0
# Run inference directly in the terminal:
llama cli -hf prism-ml/Bonsai-8B-gguf:Q1_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf prism-ml/Bonsai-8B-gguf:Q1_0
# Run inference directly in the terminal:
llama cli -hf prism-ml/Bonsai-8B-gguf:Q1_0

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 prism-ml/Bonsai-8B-gguf:Q1_0
# Run inference directly in the terminal:
./llama-cli -hf prism-ml/Bonsai-8B-gguf:Q1_0

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 prism-ml/Bonsai-8B-gguf:Q1_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf prism-ml/Bonsai-8B-gguf:Q1_0

Use Docker

docker model run hf.co/prism-ml/Bonsai-8B-gguf:Q1_0

LM Studio
Jan

vLLM

How to use prism-ml/Bonsai-8B-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "prism-ml/Bonsai-8B-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": "prism-ml/Bonsai-8B-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/prism-ml/Bonsai-8B-gguf:Q1_0

Ollama
How to use prism-ml/Bonsai-8B-gguf with Ollama:
```
ollama run hf.co/prism-ml/Bonsai-8B-gguf:Q1_0
```
Unsloth Desktop

How to use prism-ml/Bonsai-8B-gguf with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf prism-ml/Bonsai-8B-gguf:Q1_0

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "prism-ml/Bonsai-8B-gguf:Q1_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use prism-ml/Bonsai-8B-gguf with Docker Model Runner:
```
docker model run hf.co/prism-ml/Bonsai-8B-gguf:Q1_0
```

Lemonade

How to use prism-ml/Bonsai-8B-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull prism-ml/Bonsai-8B-gguf:Q1_0

Run and chat with the model

lemonade run user.Bonsai-8B-gguf-Q1_0

List all available models

lemonade list

Hermes Agent

How to use prism-ml/Bonsai-8B-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 prism-ml/Bonsai-8B-gguf:Q1_0

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 prism-ml/Bonsai-8B-gguf:Q1_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use prism-ml/Bonsai-8B-gguf with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf prism-ml/Bonsai-8B-gguf:Q1_0

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 "prism-ml/Bonsai-8B-gguf:Q1_0" \
  --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"

pashak commited on Apr 17

Commit

e8af289

1 Parent(s): ebc009b

Add Q1_0-suffixed gguf copy; update README quickstart paths

Browse files

Files changed (3) hide show

.gitattributes +1 -0
Bonsai-8B-Q1_0.gguf +3 -0
README.md +3 -3

.gitattributes CHANGED Viewed

@@ -38,3 +38,4 @@ Bonsai-8B.gguf filter=lfs diff=lfs merge=lfs -text
 frontier.png filter=lfs diff=lfs merge=lfs -text
 assets/frontier.png filter=lfs diff=lfs merge=lfs -text
 assets/intel_density_8B.png filter=lfs diff=lfs merge=lfs -text

 frontier.png filter=lfs diff=lfs merge=lfs -text
 assets/frontier.png filter=lfs diff=lfs merge=lfs -text
 assets/intel_density_8B.png filter=lfs diff=lfs merge=lfs -text
+*.gguf filter=lfs diff=lfs merge=lfs -text

Bonsai-8B-Q1_0.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54
+size 1158654496

README.md CHANGED Viewed

@@ -124,7 +124,7 @@ cmake -B build -DGGML_CUDA=ON && cmake --build build -j
 # Run inference
 ./build/bin/llama-cli \
-    -m Bonsai-8B.gguf \
     -p "Explain quantum computing in simple terms." \
     -n 256 \
     --temp 0.5 \
@@ -145,7 +145,7 @@ cmake -B build && cmake --build build -j
 # Run inference
 ./build/bin/llama-cli \
-    -m Bonsai-8B.gguf \
     -p "Explain quantum computing in simple terms." \
     -n 256 \
     --temp 0.5 \
@@ -158,7 +158,7 @@ cmake -B build && cmake --build build -j
 ```bash
 ./build/bin/llama-server \
-    -m Bonsai-8B.gguf \
     --host 0.0.0.0 \
     --port 8080 \
     -ngl 99

 # Run inference
 ./build/bin/llama-cli \
+    -m Bonsai-8B-Q1_0.gguf \
     -p "Explain quantum computing in simple terms." \
     -n 256 \
     --temp 0.5 \
 # Run inference
 ./build/bin/llama-cli \
+    -m Bonsai-8B-Q1_0.gguf \
     -p "Explain quantum computing in simple terms." \
     -n 256 \
     --temp 0.5 \
 ```bash
 ./build/bin/llama-server \
+    -m Bonsai-8B-Q1_0.gguf \
     --host 0.0.0.0 \
     --port 8080 \
     -ngl 99