Instructions to use prism-ml/Bonsai-1.7B-mlx-1bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use prism-ml/Bonsai-1.7B-mlx-1bit with MLX:

# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("prism-ml/Bonsai-1.7B-mlx-1bit")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

text = generate(model, tokenizer, prompt=prompt, verbose=True)

Notebooks
Google Colab
Kaggle
Local Apps Settings
LM Studio

How to use prism-ml/Bonsai-1.7B-mlx-1bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "prism-ml/Bonsai-1.7B-mlx-1bit"

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "prism-ml/Bonsai-1.7B-mlx-1bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use prism-ml/Bonsai-1.7B-mlx-1bit with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "prism-ml/Bonsai-1.7B-mlx-1bit"

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-mlx-1bit

Run Hermes

hermes

MLX LM

How to use prism-ml/Bonsai-1.7B-mlx-1bit with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "prism-ml/Bonsai-1.7B-mlx-1bit"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "prism-ml/Bonsai-1.7B-mlx-1bit"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "prism-ml/Bonsai-1.7B-mlx-1bit",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

pashak commited on Apr 18

Commit

fac480d

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1 Parent(s): 75d4ce4

Update README.md

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@@ -3,12 +3,14 @@ license: apache-2.0
 library_name: mlx
 pipeline_tag: text-generation
 tags:
-  - 1-bit
-  - mlx
-  - apple-silicon
-  - on-device
-  - prismml
-  - bonsai
 ---
 <p align="center">
@@ -165,4 +167,4 @@ If you use 1-bit Bonsai 1.7B, please cite:
 ## Contact
-For questions, feedback, or collaboration inquiries: **contact@prismml.com**

 library_name: mlx
 pipeline_tag: text-generation
 tags:
+- 1-bit
+- mlx
+- apple-silicon
+- on-device
+- prismml
+- bonsai
+base_model:
+- prism-ml/Bonsai-1.7B-unpacked
 ---
 <p align="center">
 ## Contact
+For questions, feedback, or collaboration inquiries: **contact@prismml.com**