Instructions to use ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni",
	filename="martha_9b_v2_F16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST
# Run inference directly in the terminal:
llama cli -hf ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST
# Run inference directly in the terminal:
llama cli -hf ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST
# Run inference directly in the terminal:
./llama-cli -hf ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST

Use Docker

docker model run hf.co/ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST

LM Studio
Jan

Ollama

How to use ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni with Ollama:

ollama run hf.co/ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST

Unsloth Studio

How to use ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni to start chatting

How to use ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST

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 ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST

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 "ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

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

Docker Model Runner
How to use ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni with Docker Model Runner:
```
docker model run hf.co/ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST
```

Lemonade

How to use ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ZERO-POINT-AI/Miss_MARTHA-9B-Qwen3.5-Omni:Q4_K_M_LATEST

Run and chat with the model

lemonade run user.Miss_MARTHA-9B-Qwen3.5-Omni-Q4_K_M_LATEST

List all available models

lemonade list

𝒥.S𝐼NCLA𝐼R🇿🇪Ʀ🇴PO𝐼NT-🅰🅸 commited on Mar 31

Commit

26ef95a

verified ·

1 Parent(s): 3f95b11

Proper derivative work license — Apache 2.0 + attribution

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@@ -1,4 +1,10 @@
-Copyright 2026 Zero Point Intelligence Ltd
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
@@ -9,15 +15,63 @@ You may obtain a copy of the License at
 Unless required by applicable law or agreed to in writing, software
 distributed under the License is distributed on an "AS IS" BASIS,
 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
----
-ADDITIONAL TERMS
-Derivative works must credit Zero Point Intelligence Ltd as the
-origin model provider. This is a condition of use.
-Original model developed by Zero Point Intelligence Ltd, Scotland.
-https://huggingface.co/ZERO-POINT-INTELLIGENCE-LTD

+                              ZERO POINT INTELLIGENCE LTD
+                                    MODEL LICENSE
+                            ================================
+Copyright 2026 Zero Point Intelligence Ltd. Dundee, Scotland.
+https://zeropointai.uk | https://huggingface.co/ZERO-POINT-INTELLIGENCE-LTD
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
 Unless required by applicable law or agreed to in writing, software
 distributed under the License is distributed on an "AS IS" BASIS,
 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+================================================================================
+DERIVATIVE WORK NOTICE
+================================================================================
+This model is a DERIVATIVE WORK based on Qwen3.5 by Alibaba Cloud / Tongyi Lab,
+originally released under the Apache 2.0 license.
+The weights in this repository are MATHEMATICALLY UNIQUE. A ghost pass technique
+(1e-6 scale bfloat16 noise injection across all floating-point parameters) has
+been applied to produce a distinct derivative. SHA256 proof of uniqueness is
+provided in integrity_manifest.json.
+Original base model: Qwen3.5 by Alibaba Cloud
+Original license: Apache 2.0
+Original repository: https://huggingface.co/Qwen
+================================================================================
+YOUR RIGHTS
+================================================================================
+You are FREE to:
+  * USE this model for any purpose — personal, commercial, research, whatever.
+  * MODIFY the weights, architecture, configs — make it yours.
+  * DISTRIBUTE copies, modified or unmodified.
+  * FINE-TUNE, merge, quantize, distill — go nuts.
+  * BUILD PRODUCTS on top of this model — no permission needed.
+  * FORK IT. Ship it. Profit from it. We don't care.
+You MUST:
+  * Include this license in any distribution.
+  * State changes made if you modify the model.
+  * Credit Zero Point Intelligence Ltd as the derivative work publisher.
+  * Credit Alibaba Cloud / Qwen as the original base model creator.
+You CANNOT:
+  * Claim you created the original base model.
+  * Remove attribution notices.
+  * Use the Zero Point Intelligence Ltd name or MARTHA trademark to
+    endorse your derivative without written permission.
+================================================================================
+NO WARRANTY
+================================================================================
+THIS MODEL IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. ZERO POINT
+INTELLIGENCE LTD MAKES NO GUARANTEES ABOUT ACCURACY, SAFETY, FITNESS FOR
+PURPOSE, OR ANYTHING ELSE. USE AT YOUR OWN RISK. IF IT BREAKS SOMETHING,
+THAT'S ON YOU.
+================================================================================
+Built in Scotland. Open source. No gatekeepers. No bullshit.
+Zero Point Intelligence Ltd
+Dundee, Scotland
+2026