Instructions to use prism-ml/Bonsai-1.7B-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use prism-ml/Bonsai-1.7B-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="prism-ml/Bonsai-1.7B-gguf",
	filename="Bonsai-1.7B-Q1_0.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 prism-ml/Bonsai-1.7B-gguf with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf prism-ml/Bonsai-1.7B-gguf:Q1_0
# Run inference directly in the terminal:
llama-cli -hf prism-ml/Bonsai-1.7B-gguf:Q1_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf prism-ml/Bonsai-1.7B-gguf:Q1_0
# Run inference directly in the terminal:
llama-cli -hf prism-ml/Bonsai-1.7B-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-1.7B-gguf:Q1_0
# Run inference directly in the terminal:
./llama-cli -hf prism-ml/Bonsai-1.7B-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-1.7B-gguf:Q1_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf prism-ml/Bonsai-1.7B-gguf:Q1_0

Use Docker

docker model run hf.co/prism-ml/Bonsai-1.7B-gguf:Q1_0

LM Studio
Jan

vLLM

How to use prism-ml/Bonsai-1.7B-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-1.7B-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-1.7B-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/prism-ml/Bonsai-1.7B-gguf:Q1_0

Ollama
How to use prism-ml/Bonsai-1.7B-gguf with Ollama:
```
ollama run hf.co/prism-ml/Bonsai-1.7B-gguf:Q1_0
```

Unsloth Studio

How to use prism-ml/Bonsai-1.7B-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 prism-ml/Bonsai-1.7B-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 prism-ml/Bonsai-1.7B-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for prism-ml/Bonsai-1.7B-gguf to start chatting

How to use prism-ml/Bonsai-1.7B-gguf with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf prism-ml/Bonsai-1.7B-gguf:Q1_0

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": "prism-ml/Bonsai-1.7B-gguf:Q1_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use prism-ml/Bonsai-1.7B-gguf with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf prism-ml/Bonsai-1.7B-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-1.7B-gguf:Q1_0

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use prism-ml/Bonsai-1.7B-gguf with Docker Model Runner:
```
docker model run hf.co/prism-ml/Bonsai-1.7B-gguf:Q1_0
```

Lemonade

How to use prism-ml/Bonsai-1.7B-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull prism-ml/Bonsai-1.7B-gguf:Q1_0

Run and chat with the model

lemonade run user.Bonsai-1.7B-gguf-Q1_0

List all available models

lemonade list

pashak commited on Apr 17

Commit

61edf31

1 Parent(s): 3ae84d2

Add Q1_0-suffixed gguf copy; update README quickstart paths

Browse files

Files changed (3) hide show

.gitattributes +1 -0
Bonsai-1.7B-Q1_0.gguf +3 -0
README.md +3 -3

.gitattributes CHANGED Viewed

@@ -36,3 +36,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 Bonsai-1.7B.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

 Bonsai-1.7B.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
+*.gguf filter=lfs diff=lfs merge=lfs -text

Bonsai-1.7B-Q1_0.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:3d7c6c90dd98717a203adb22d5eacd2581850e40aa5327e144b97766cae5f7e3
+size 248302272

README.md CHANGED Viewed

@@ -119,7 +119,7 @@ cmake -B build -DGGML_CUDA=ON && cmake --build build -j
 # Run inference
 ./build/bin/llama-cli \
-    -m Bonsai-1.7B.gguf \
     -p "Explain quantum computing in simple terms." \
     -n 256 \
     --temp 0.5 \
@@ -140,7 +140,7 @@ cmake -B build && cmake --build build -j
 # Run inference
 ./build/bin/llama-cli \
-    -m Bonsai-1.7B.gguf \
     -p "Explain quantum computing in simple terms." \
     -n 256 \
     --temp 0.5 \
@@ -153,7 +153,7 @@ cmake -B build && cmake --build build -j
 ```bash
 ./build/bin/llama-server \
-    -m Bonsai-1.7B.gguf \
     --host 0.0.0.0 \
     --port 8080 \
     -ngl 99

 # Run inference
 ./build/bin/llama-cli \
+    -m Bonsai-1.7B-Q1_0.gguf \
     -p "Explain quantum computing in simple terms." \
     -n 256 \
     --temp 0.5 \
 # Run inference
 ./build/bin/llama-cli \
+    -m Bonsai-1.7B-Q1_0.gguf \
     -p "Explain quantum computing in simple terms." \
     -n 256 \
     --temp 0.5 \
 ```bash
 ./build/bin/llama-server \
+    -m Bonsai-1.7B-Q1_0.gguf \
     --host 0.0.0.0 \
     --port 8080 \
     -ngl 99