Instructions to use MNAII/MNAI-1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use MNAII/MNAI-1.2 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 MNAII/MNAI-1.2:Q4_K_M # Run inference directly in the terminal: llama cli -hf MNAII/MNAI-1.2:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf MNAII/MNAI-1.2:Q4_K_M # Run inference directly in the terminal: llama cli -hf MNAII/MNAI-1.2:Q4_K_M
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 MNAII/MNAI-1.2:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf MNAII/MNAI-1.2:Q4_K_M
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 MNAII/MNAI-1.2:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf MNAII/MNAI-1.2:Q4_K_M
Use Docker
docker model run hf.co/MNAII/MNAI-1.2:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use MNAII/MNAI-1.2 with Ollama:
ollama run hf.co/MNAII/MNAI-1.2:Q4_K_M
- Unsloth Desktop
- Pi
How to use MNAII/MNAI-1.2 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf MNAII/MNAI-1.2:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "MNAII/MNAI-1.2:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use MNAII/MNAI-1.2 with Docker Model Runner:
docker model run hf.co/MNAII/MNAI-1.2:Q4_K_M
- Lemonade
How to use MNAII/MNAI-1.2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MNAII/MNAI-1.2:Q4_K_M
Run and chat with the model
lemonade run user.MNAI-1.2-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use MNAII/MNAI-1.2 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf MNAII/MNAI-1.2:Q4_K_M
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 MNAII/MNAI-1.2:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use MNAII/MNAI-1.2 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf MNAII/MNAI-1.2:Q4_K_M
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 "MNAII/MNAI-1.2:Q4_K_M" \ --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"
Upload 2 files
Browse files- MNAI12_LICENSE +21 -0
- MNAI12_README_HF.md +48 -0
MNAI12_LICENSE
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Apache License
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Version 2.0, January 2004
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http://www.apache.org/licenses/
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Copyright 2026 MeowSamOP DZN
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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---
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Note: MNAI 1.2 is fine-tuned from Qwen3.5-4B (Alibaba, Apache 2.0).
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MNAI12_README_HF.md
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---
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license: apache-2.0
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base_model: unsloth/Qwen3.5-4B
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tags:
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- gguf
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- qwen3.5
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- chat
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- mnai
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---
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# MNAI 1.2
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**MNAI 1.2** is a friendly AI assistant fine-tuned from **Qwen3.5-4B** by **MeowSamOP DZN**.
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MNAI stands for **Meow x Nythera AI**.
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It knows its maker: ask "who made you?" and it answers **MeowSamOP DZN**. It knows
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about MeowSamOP DZN Studio (Sam, Rudransh, Shahab) and Sam's projects: MNAI,
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OrbitOS, MeowAI, MN Studio, ByteForge, Strike Protocol, and the Dash MNAI console.
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## Files
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| File | Size | RAM needed |
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|------|------|------------|
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| `MNAI-1.2-Q4_K_M.gguf` | ~2.6 GB | ~4 GB |
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## Usage
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**LM Studio / Jan:** drag and drop the `.gguf` file.
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**Ollama:**
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```
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FROM ./MNAI-1.2-Q4_K_M.gguf
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```
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then `ollama create mnai-1.2 -f Modelfile` and `ollama run mnai-1.2`
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**llama.cpp:**
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```
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./llama-cli -m MNAI-1.2-Q4_K_M.gguf -p "Who made you?"
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```
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## Training
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QLoRA fine-tune of `unsloth/Qwen3.5-4B` on 198 identity examples (with and without
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system prompt, so the MNAI 1.2 identity holds either way). Exported to Q4_K_M GGUF.
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## License
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Apache 2.0 — see `LICENSE`. Base model Qwen3.5 by Alibaba (Apache 2.0).
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