Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF:# Run inference directly in the terminal:
llama cli -hf cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF: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:# Run inference directly in the terminal:
./llama-cli -hf cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF: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:# Run inference directly in the terminal:
./build/bin/llama-cli -hf cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF:Use Docker
docker model run hf.co/cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF: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.
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Model tree for cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF
Base model
trollek/NinjaMouse2-2.5B-v0.2
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF:# Run inference directly in the terminal: llama cli -hf cgus/NinjaMouse2-2.5B-v0.2-iMat-GGUF: