Instructions to use cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF",
	filename="NinjaMouse2-2.5B-v0.2-FP32.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF: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 cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF: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 cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF:Q4_K_M

Use Docker

docker model run hf.co/cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF with Ollama:
```
ollama run hf.co/cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF:Q4_K_M
```

Unsloth Studio new

How to use cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF 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 cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF 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 cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF to start chatting

Docker Model Runner
How to use cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF with Docker Model Runner:
```
docker model run hf.co/cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF:Q4_K_M
```

Lemonade

How to use cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.NinjaMouse2-2.5B-v0.2-iMat-GGUF-Q4_K_M

List all available models

lemonade list

NinjaMouse2-v0.2-iMat-GGUF

Model: NinjaMouse2-2.5B-v0.2
Model creator: trollek

Quantization notes

Made with llama.cpp b3154, all quants were created with imatrix file based on Exllamav2 default dataset.

Original model card

NinjaMouse2-v0.2

A brand spanking new model with a silly name. Brought to you by Anoia, the Goddess of Things That Get Stuck in Drawers, and the psychologial damage of having optic nerves.

With improved image prompting and assistance.

Template

It uses the default template of danube2:

<|prompt|>{{instruction}}</s><|answer|>{{response}}</s>

Image prompting

And can be used with the Ollama ComfyUI extension:

Ollama

ollama pull trollek/ninjamouse2:34l-v02-q6_K
ollama pull trollek/ninjamouse2:34l-v02-q5_K_S
ollama pull trollek/ninjamouse2:34l-v02-q4_K_S

Trying to fine-tune the chat model even further was a mistake, but a valuable one to make. So was the name. The model is delightful though and does quite well, but will be the last Kung Fu Mouse that I make. It does what I wanted the first one to do, and I am kind of proud of this one considering how many failures it took.

The rodents and I thank you for your support.

Downloads last month: 71

GGUF

Model size

3B params

Architecture

llama

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

View +1 variant

Inference Providers NEW

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Model tree for cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF

Base model

trollek/NinjaMouse2-2.5B-v0.2

Quantized

(1)

this model

cgus
/

NinjaMouse2-2.5B-v0.2-iMat-GGUF