Instructions to use Outlier-Ai/Outlier-Lite-9B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Outlier-Ai/Outlier-Lite-9B-MLX-4bit 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("Outlier-Ai/Outlier-Lite-9B-MLX-4bit")

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 Outlier-Ai/Outlier-Lite-9B-MLX-4bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "Outlier-Ai/Outlier-Lite-9B-MLX-4bit"

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": "Outlier-Ai/Outlier-Lite-9B-MLX-4bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

MLX LM

How to use Outlier-Ai/Outlier-Lite-9B-MLX-4bit with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "Outlier-Ai/Outlier-Lite-9B-MLX-4bit"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "Outlier-Ai/Outlier-Lite-9B-MLX-4bit"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "Outlier-Ai/Outlier-Lite-9B-MLX-4bit",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Hermes Agent

How to use Outlier-Ai/Outlier-Lite-9B-MLX-4bit 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 "Outlier-Ai/Outlier-Lite-9B-MLX-4bit"

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 Outlier-Ai/Outlier-Lite-9B-MLX-4bit

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Outlier-Ai/Outlier-Lite-9B-MLX-4bit with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "Outlier-Ai/Outlier-Lite-9B-MLX-4bit"

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 "Outlier-Ai/Outlier-Lite-9B-MLX-4bit" \
  --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"

ur-dad-matt commited on May 1

Commit

dafb389

verified ·

1 Parent(s): 80a01c1

docs: multilingual tags, eval_results MMLU 77.36%

Browse files

Files changed (1) hide show

README.md +47 -0

README.md CHANGED Viewed

@@ -1,6 +1,20 @@
 ---
 language:
   - en
 license: apache-2.0
 library_name: mlx
 base_model: Qwen/Qwen3.5-9B
@@ -11,7 +25,40 @@ tags:
   - 4-bit
   - text-generation
   - qwen3.5
 pipeline_tag: text-generation
 ---
 # Outlier Lite 9B (MLX-4bit)

 ---
 language:
   - en
+  - zh
+  - fr
+  - es
+  - pt
+  - de
+  - it
+  - ru
+  - ja
+  - ko
+  - ar
+  - vi
+  - th
+  - nl
+  - pl
 license: apache-2.0
 library_name: mlx
 base_model: Qwen/Qwen3.5-9B
   - 4-bit
   - text-generation
   - qwen3.5
+  - function-calling
+  - tool-use
+  - thinking
+  - instruct
+  - conversational
+  - chat
+  - macos
+  - mac
+  - m1
+  - m2
+  - m3
+  - m4
+  - local-llm
+  - offline
+  - on-device
+  - mmlu-verified
 pipeline_tag: text-generation
+model-index:
+- name: Outlier-Ai/Outlier-Lite-9B-MLX-4bit
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-shot)
+      type: cais/mmlu
+      config: all
+      split: test
+    metrics:
+    - type: acc
+      name: accuracy
+      value: 77.36
+      verified: false
 ---
 # Outlier Lite 9B (MLX-4bit)