Instructions to use lilyanatia/Bonsai-8B-requantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use lilyanatia/Bonsai-8B-requantized 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 lilyanatia/Bonsai-8B-requantized:IQ1_S
# Run inference directly in the terminal:
llama cli -hf lilyanatia/Bonsai-8B-requantized:IQ1_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf lilyanatia/Bonsai-8B-requantized:IQ1_S
# Run inference directly in the terminal:
llama cli -hf lilyanatia/Bonsai-8B-requantized:IQ1_S

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 lilyanatia/Bonsai-8B-requantized:IQ1_S
# Run inference directly in the terminal:
./llama-cli -hf lilyanatia/Bonsai-8B-requantized:IQ1_S

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 lilyanatia/Bonsai-8B-requantized:IQ1_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf lilyanatia/Bonsai-8B-requantized:IQ1_S

Use Docker

docker model run hf.co/lilyanatia/Bonsai-8B-requantized:IQ1_S

LM Studio
Jan
Ollama
How to use lilyanatia/Bonsai-8B-requantized with Ollama:
```
ollama run hf.co/lilyanatia/Bonsai-8B-requantized:IQ1_S
```
Unsloth Desktop

How to use lilyanatia/Bonsai-8B-requantized with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf lilyanatia/Bonsai-8B-requantized:IQ1_S

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": "lilyanatia/Bonsai-8B-requantized:IQ1_S"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use lilyanatia/Bonsai-8B-requantized with Docker Model Runner:
```
docker model run hf.co/lilyanatia/Bonsai-8B-requantized:IQ1_S
```

Lemonade

How to use lilyanatia/Bonsai-8B-requantized with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull lilyanatia/Bonsai-8B-requantized:IQ1_S

Run and chat with the model

lemonade run user.Bonsai-8B-requantized-IQ1_S

List all available models

lemonade list

Hermes Agent

How to use lilyanatia/Bonsai-8B-requantized with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf lilyanatia/Bonsai-8B-requantized:IQ1_S

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 lilyanatia/Bonsai-8B-requantized:IQ1_S

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use lilyanatia/Bonsai-8B-requantized with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf lilyanatia/Bonsai-8B-requantized:IQ1_S

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 "lilyanatia/Bonsai-8B-requantized:IQ1_S" \
  --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"

requantized Bonsai-8B for software that doesn't support Q1_0_g128 quantization.

Downloads last month: 324

GGUF

Model size

8B params

Architecture

qwen3

Hardware compatibility

1-bit

2-bit

View +1 variant

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for lilyanatia/Bonsai-8B-requantized

Base model

prism-ml/Bonsai-8B-unpacked

Quantized

prism-ml/Bonsai-8B-gguf

Quantized

(3)

this model

Spaces using lilyanatia/Bonsai-8B-requantized 2

Collection including lilyanatia/Bonsai-8B-requantized

Bonsai requantized

Collection

requantized Bonsai for software that doesn't support Q1_0 quantization. • 3 items • Updated Apr 19 • 2