Instructions to use Ex0bit/MiniMax-SLURPY-DQ-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Ex0bit/MiniMax-SLURPY-DQ-MLX 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("Ex0bit/MiniMax-SLURPY-DQ-MLX")

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 Ex0bit/MiniMax-SLURPY-DQ-MLX with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "Ex0bit/MiniMax-SLURPY-DQ-MLX"

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": "Ex0bit/MiniMax-SLURPY-DQ-MLX"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

MLX LM

How to use Ex0bit/MiniMax-SLURPY-DQ-MLX with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "Ex0bit/MiniMax-SLURPY-DQ-MLX"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "Ex0bit/MiniMax-SLURPY-DQ-MLX"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "Ex0bit/MiniMax-SLURPY-DQ-MLX",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Hermes Agent

How to use Ex0bit/MiniMax-SLURPY-DQ-MLX 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 "Ex0bit/MiniMax-SLURPY-DQ-MLX"

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 Ex0bit/MiniMax-SLURPY-DQ-MLX

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Ex0bit/MiniMax-SLURPY-DQ-MLX with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "Ex0bit/MiniMax-SLURPY-DQ-MLX"

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 "Ex0bit/MiniMax-SLURPY-DQ-MLX" \
  --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"

Ex0bit commited on Apr 16

Commit

b904c53

verified ·

1 Parent(s): 0e34c2c

Update README.md

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README.md +3 -3

README.md CHANGED Viewed

@@ -25,7 +25,7 @@ quantized_by: Ex0bit
 ![image](https://cdn-uploads.huggingface.co/production/uploads/63adf1fa42fd3b8dbaeb0c92/JuwTD-9eczmeBf5P8NLDP.png)
-# MiniMax-SLURPY-PRISM-3BPW-MLX
 **Per-tensor mixed-precision quantization of [MiniMax-SLURPY](https://huggingface.co/Ex0bit/MiniMax-SLURPY) for Apple Silicon — 2.54 BPW with 498 per-tensor-projection allocations (plus 16,122 per-expert PRISM decisions collapsed into MLX's SwitchGLU format).**
@@ -37,7 +37,7 @@ Created by [Ex0bit](https://hf.co/Ex0bit)
 <div align="center">
-### 💡 This model is free for active members, or available for purchase to all others here: https://ko-fi.com/s/0daff0e074. Support My Research & Development efforts. Members Receive access to the latest PRISM-PRO Model drops on Day-0
 [![Ko-fi](https://img.shields.io/badge/Ko--fi-Support%20PRISM-ff5e5b?logo=ko-fi&logoColor=white)](https://ko-fi.com/Ex0bit)
@@ -64,7 +64,7 @@ Created by [Ex0bit](https://hf.co/Ex0bit)
 ## What SLURPY inherits
-A mathematically unique blend of [MiniMax-M2.5](https://huggingface.co/MiniMaxAI/MiniMax-M2.5) and [MiniMax-M2.7](https://huggingface.co/MiniMaxAI/MiniMax-M2.7) — neither parent, entirely its own model.
 SLURPY inherits M2.5's architect-first coding style and MIT freedom, absorbs M2.7's RL-tuned precision on multi-agent collaboration and real-world engineering — without a single training step.

 ![image](https://cdn-uploads.huggingface.co/production/uploads/63adf1fa42fd3b8dbaeb0c92/JuwTD-9eczmeBf5P8NLDP.png)
+# MiniMax-SLURPY-DQ-MLX
 **Per-tensor mixed-precision quantization of [MiniMax-SLURPY](https://huggingface.co/Ex0bit/MiniMax-SLURPY) for Apple Silicon — 2.54 BPW with 498 per-tensor-projection allocations (plus 16,122 per-expert PRISM decisions collapsed into MLX's SwitchGLU format).**
 <div align="center">
+### 💡 Support our Research & Development efforts. PRISM Members Receive access to the latest PRISM-PRO Model drops on Day-0
 [![Ko-fi](https://img.shields.io/badge/Ko--fi-Support%20PRISM-ff5e5b?logo=ko-fi&logoColor=white)](https://ko-fi.com/Ex0bit)
 ## What SLURPY inherits
+A mathematically unique Designer Baby of [MiniMax-M2.5](https://huggingface.co/MiniMaxAI/MiniMax-M2.5) and [MiniMax-M2.7](https://huggingface.co/MiniMaxAI/MiniMax-M2.7) — neither parent, entirely its own model.
 SLURPY inherits M2.5's architect-first coding style and MIT freedom, absorbs M2.7's RL-tuned precision on multi-agent collaboration and real-world engineering — without a single training step.