Instructions to use TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired 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("TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired")

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 TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired"

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

MLX LM

How to use TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Hermes Agent

How to use TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired 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 "TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired"

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 TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired"

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 "TiGa-RCE/Bonsai-27B-MLX-BF16-Config-Repaired" \
  --custom-provider-id mlx-lm \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

TiGa-RCE commited on Jul 27

Commit

1a760b1

verified ·

1 Parent(s): 0d885c2

Cross-link Bonsai MLX experiment family and runtime gate

Browse files

Files changed (1) hide show

README.md +16 -0

README.md CHANGED Viewed

@@ -17,6 +17,22 @@ base_model:
 # Bonsai 27B MLX BF16 Config-Repaired
 This is a mechanically converted MLX BF16 archival baseline for the Bonsai 27B
 quantization experiment on Apple Silicon. It exists to make later Q4, Q8, oQ4,
 and oQ8 builds reproducible without treating an opaque local directory as the

 # Bonsai 27B MLX BF16 Config-Repaired
+## Experiment family and current status
+This is the archival baseline for one **unfinished** MLX/oMLX compatibility and
+quantization experiment:
+- **BF16 baseline — this repository**
+- [oQ2e S32 calibration smoke](https://huggingface.co/TiGa-RCE/Bonsai-27B-oQ2e-S32-Smoke)
+- [oQ4e S32 calibration smoke](https://huggingface.co/TiGa-RCE/Bonsai-27B-oQ4e-S32-Smoke)
+These public repositories are reproducible checkpoints, not the conclusion of
+the experiment. The experiment remains incomplete until maintained
+MLX/MLX-LM/oMLX support can load and generate through the relevant Bonsai paths
+without the current local compatibility patches, explicit calibration proxies,
+or imatrix-boundary workarounds. The larger predeclared evaluations follow
+that runtime gate.
 This is a mechanically converted MLX BF16 archival baseline for the Bonsai 27B
 quantization experiment on Apple Silicon. It exists to make later Q4, Q8, oQ4,
 and oQ8 builds reproducible without treating an opaque local directory as the