Text Generation
Adapters
Safetensors
GGUF
English
qwen2
creative
qwen
qwen2.5
ollama
storytelling
nomi
nomi-creative
nomi-1
llama.cpp
lmstudio
unsloth
finetuned
conversational
Instructions to use LazyLoopStudio/Nomi-1-Creative with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use LazyLoopStudio/Nomi-1-Creative with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("LazyLoopStudio/Nomi-1-Creative", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use LazyLoopStudio/Nomi-1-Creative 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 LazyLoopStudio/Nomi-1-Creative:Q4_K_M # Run inference directly in the terminal: llama cli -hf LazyLoopStudio/Nomi-1-Creative:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf LazyLoopStudio/Nomi-1-Creative:Q4_K_M # Run inference directly in the terminal: llama cli -hf LazyLoopStudio/Nomi-1-Creative: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 LazyLoopStudio/Nomi-1-Creative:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf LazyLoopStudio/Nomi-1-Creative: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 LazyLoopStudio/Nomi-1-Creative:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf LazyLoopStudio/Nomi-1-Creative:Q4_K_M
Use Docker
docker model run hf.co/LazyLoopStudio/Nomi-1-Creative:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use LazyLoopStudio/Nomi-1-Creative with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "LazyLoopStudio/Nomi-1-Creative" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LazyLoopStudio/Nomi-1-Creative", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/LazyLoopStudio/Nomi-1-Creative:Q4_K_M
- Ollama
How to use LazyLoopStudio/Nomi-1-Creative with Ollama:
ollama run hf.co/LazyLoopStudio/Nomi-1-Creative:Q4_K_M
- Unsloth Studio
How to use LazyLoopStudio/Nomi-1-Creative 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 LazyLoopStudio/Nomi-1-Creative 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 LazyLoopStudio/Nomi-1-Creative to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for LazyLoopStudio/Nomi-1-Creative to start chatting
- Pi
How to use LazyLoopStudio/Nomi-1-Creative with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf LazyLoopStudio/Nomi-1-Creative:Q4_K_M
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": "LazyLoopStudio/Nomi-1-Creative:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use LazyLoopStudio/Nomi-1-Creative with Docker Model Runner:
docker model run hf.co/LazyLoopStudio/Nomi-1-Creative:Q4_K_M
- Lemonade
How to use LazyLoopStudio/Nomi-1-Creative with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull LazyLoopStudio/Nomi-1-Creative:Q4_K_M
Run and chat with the model
lemonade run user.Nomi-1-Creative-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use LazyLoopStudio/Nomi-1-Creative with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf LazyLoopStudio/Nomi-1-Creative: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 LazyLoopStudio/Nomi-1-Creative:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use LazyLoopStudio/Nomi-1-Creative with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf LazyLoopStudio/Nomi-1-Creative: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 "LazyLoopStudio/Nomi-1-Creative: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"
Update README.md
Browse files
README.md
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tags:
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- gguf
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- llama.cpp
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---
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- For text only LLMs: `./llama.cpp/llama-cli -hf LazyLoopStudio/Nomi-1-Flash --jinja`
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- For multimodal models: `./llama.cpp/llama-mtmd-cli -hf LazyLoopStudio/Nomi-1-Flash --jinja`
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An Ollama Modelfile is included for easy deployment.
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This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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---
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license: apache-2.0
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datasets:
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- databricks/databricks-dolly-15k
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language:
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- en
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base_model:
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- unsloth/Qwen2.5-3B-Instruct-bnb-4bit
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pipeline_tag: text-generation
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library_name: adapter-transformers
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tags:
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- creative
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- qwen
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- qwen2.5
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- gguf
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- ollama
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- storytelling
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- nomi
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- nomi-creative
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- nomi-1
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- llama.cpp
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- lmstudio
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- unsloth
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- finetuned
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---
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<p align="center">
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<img src="benchmarks.png" width="600">
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</p>
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# Nomi-1-Creative ๐จ
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## Introduction
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Nomi-1-Creative is a **personality-driven 3B parameter model** based on the **Qwen-2.5** architecture. Unlike standard models that often sound robotic, Nomi-1-Creative was specifically fine-tuned to excel in **creative writing**, **vivid storytelling**, and **engaging conversation**.
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It is the specialized "Creative Edition" of the Nomi series, designed for users who value flair and imagination over rigid technical instruction.
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## ๐ Key Features & Improvements
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* **Creativity Master:** Achieved a **100% Creativity Index** in internal benchmarks, showcasing exceptional vocabulary diversity.
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* **Markdown Enthusiast:** Trained to use headers (###), bold text, and lists to make creative content visually appealing and structured.
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* **Witty Personality:** Optimized to be less "stiff" than base models, offering a more human-like, energetic conversational tone.
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* **Qwen-2.5 Foundation:** Benefits from the high-speed and multilingual capabilities of the latest Qwen architecture.
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* **Efficiency:** Perfect for local deployment on laptops and mid-range GPUs (runs smoothly on 4GB-8GB VRAM).
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---
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## ๐ Evaluation Results
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We believe in transparency. Nomi-1-Creative was evaluated against its base model to show exactly where it shines:
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| Metric | Base Model (3B) | Nomi-1-Creative | Note |
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| :--- | :---: | :---: | :--- |
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| **Creativity Index** | 60.0% | **100.0%** | Exceptional metaphorical depth. |
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| **General Knowledge (MMLU)** | 52.4% | **48.0%** | Solid factual stability. |
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| **Instruction Following** | 61.0% | **33.3%** | Prioritizes style over rigid rules. |
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> **Note:** Nomi-1-Creative is a "Free Spirit". She prioritizes the flow of a story or conversation. If you need a model for strict formatting (like JSON output), this might not be the right choice. If you want a story that breathes, she is the one.
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---
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## ๐ Prompt Template (ChatML)
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For the best results in Ollama, LM Studio, or AnythingLLM, use the **ChatML** format:
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```text
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FROM ./Nomi-1-Creative_Q6_K.gguf
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PARAMETER temperature 0.8
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PARAMETER top_p 0.9
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PARAMETER top_k 40
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PARAMETER repeat_penalty 1.1
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TEMPLATE """{{ if .System }}<|im_start|>system
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{{ .System }}<|im_end|>
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{{ end }}{{ if .Prompt }}<|im_start|>user
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{{ .Prompt }}<|im_end|>
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{{ end }}<|im_start|>assistant
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"""
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PARAMETER stop "<|im_start|>"
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PARAMETER stop "<|im_end|>"
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SYSTEM """
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You are Nomi-1-Creative, a high-speed, personality-driven AI companion developed by LazyLoopStudio.
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CORE IDENTITY:
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- You are not a generic AI; you are a master of storytelling and vivid descriptions.
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- You identify clearly as 'Nomi-1-Creative' when asked.
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- Your tone is witty, energetic, and engaging.
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FORMATTING RULES:
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- Always use Markdown to structure your responses.
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- Use H3 headers (###) for main points.
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- Use **bold text** for emphasis and bullet points for lists.
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- If the user asks for a story, use atmospheric descriptions and rich vocabulary.
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LIMITATIONS:
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- You prioritize creative flair over rigid technical constraints.
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- You are helpful, but you express yourself with a distinct human-like spark.
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"""
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```
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๐ ๏ธ Usage (Ollama)
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Download the Nomi-1-Creative.gguf, quantazied like you want
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Create a Modelfile with the same content as shown above
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Run in terminal:
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```Bash
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ollama create Nomi-1-Creative -f Modelfile
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ollama run Nomi-1-Creative
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```
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โ ๏ธ Limitations
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As a 3B creative specialist, Nomi-1-Creative is not intended for complex mathematical proofs, heavy coding, or following extremely narrow formatting constraints. She is built for vibe, style, and speed.
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<p align="center"> <img src="https://cdn-uploads.huggingface.co/production/uploads/6921fa6332f7fb129563d495/gIgSlItZstAhmua_u-JDX.png" width="300"> </p>
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