How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf TheDrummer/UnslopNemo-12B-v2-GGUF:# Run inference directly in the terminal:
llama cli -hf TheDrummer/UnslopNemo-12B-v2-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 TheDrummer/UnslopNemo-12B-v2-GGUF:# Run inference directly in the terminal:
./llama-cli -hf TheDrummer/UnslopNemo-12B-v2-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 TheDrummer/UnslopNemo-12B-v2-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf TheDrummer/UnslopNemo-12B-v2-GGUF:Use Docker
docker model run hf.co/TheDrummer/UnslopNemo-12B-v2-GGUF:Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
(Previously BeaverAI/Rocinante-12B-v2d-GGUF)
UnslopNemo v2 (Experiment)
I unslopped roughly 90% of my RP dataset in an attempt to make the model more expressive.
Feedback
- Feedback is very important for this one. If you have any thoughts, positive or negative, please share it in the discussion: https://huggingface.co/TheDrummer/UnslopNemo-v1-GGUF/discussions/1
Usage
- Mistral, ChatML, or Text Completion
- Play around with your samplers. You might have better results if you disable the usual enabled stuff.
- Downloads last month
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Hardware compatibility
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf TheDrummer/UnslopNemo-12B-v2-GGUF:# Run inference directly in the terminal: llama cli -hf TheDrummer/UnslopNemo-12B-v2-GGUF: