Instructions to use Outlier-Ai/Outlier-Quick-26B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Outlier-Ai/Outlier-Quick-26B-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-Quick-26B-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-Quick-26B-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-Quick-26B-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-Quick-26B-MLX-4bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

MLX LM

How to use Outlier-Ai/Outlier-Quick-26B-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-Quick-26B-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-Quick-26B-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-Quick-26B-MLX-4bit",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Hermes Agent

How to use Outlier-Ai/Outlier-Quick-26B-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-Quick-26B-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-Quick-26B-MLX-4bit

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Outlier-Ai/Outlier-Quick-26B-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-Quick-26B-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-Quick-26B-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 4

Commit

24e224b

verified ·

1 Parent(s): dcd8777

docs: SEO tag pass (+9 tags)

Browse files

Files changed (1) hide show

README.md +60 -52

README.md CHANGED Viewed

@@ -1,61 +1,69 @@
 ---
 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: google/gemma-4-26b-a4b-it
 tags:
-  - mlx
-  - safetensors
-  - gemma4
-  - gemma
-  - gemma-4
-  - moe
-  - mixture-of-experts
-  - 4bit
-  - 4-bit
-  - quantized
-  - apple-silicon
-  - mac
-  - macos
-  - metal
-  - m1
-  - m2
-  - m3
-  - m4
-  - mlx-lm
-  - local-llm
-  - on-device
-  - edge-ai
-  - offline
-  - outlier
-  - outlier-app
-  - thinking
-  - reasoning
-  - function-calling
-  - tool-use
-  - text-generation
-  - conversational
-  - instruct
-  - chat
-  - multilingual
-  - mmlu-verified
 pipeline_tag: text-generation
 model-index:
 - name: Outlier-Ai/Outlier-Quick-26B-MLX-4bit
   results:
@@ -82,7 +90,7 @@ model-index:
     metrics:
     - type: pass@1
       name: pass@1
-      value: 0.1280
       verified: false
 ---

 ---
 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: google/gemma-4-26b-a4b-it
 tags:
+- 4-bit
+- 4bit
+- apple-silicon
+- chat
+- chatgpt-alternative
+- claude-alternative
+- conversational
+- edge-ai
+- function-calling
+- gemma
+- gemma-4
+- gemma4
+- instruct
+- local-llm
+- m1
+- m2
+- m3
+- m4
+- mac
+- mac-mini
+- mac-studio
+- macbook-air
+- macbook-pro
+- macos
+- metal
+- mixture-of-experts
+- mlx
+- mlx-lm
+- mmlu-verified
+- moe
+- multilingual
+- no-cloud
+- offline
+- on-device
+- outlier
+- outlier-app
+- private
+- private-ai
+- quantized
+- reasoning
+- safetensors
+- text-generation
+- thinking
+- tool-use
 pipeline_tag: text-generation
 model-index:
 - name: Outlier-Ai/Outlier-Quick-26B-MLX-4bit
   results:
     metrics:
     - type: pass@1
       name: pass@1
+      value: 0.128
       verified: false
 ---