How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Undi95/ZettaPi-13B-GGUF:# Run inference directly in the terminal:
llama-cli -hf Undi95/ZettaPi-13B-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 Undi95/ZettaPi-13B-GGUF:# Run inference directly in the terminal:
./llama-cli -hf Undi95/ZettaPi-13B-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 Undi95/ZettaPi-13B-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf Undi95/ZettaPi-13B-GGUF:Use Docker
docker model run hf.co/Undi95/ZettaPi-13B-GGUF:Quick Links
Just messing around with OpenOrcaxOpenChat
Description
This repo contains contain quantized files of ZettaPi-13B.
Models and LoRA used
- Open-Orca/OpenOrcaxOpenChat-Preview2-13B
- The-Face-Of-Goonery/Huginn-13b-FP16
- CalderaAI/13B-Legerdemain-L2
- PygmalionAI/pygmalion-2-13b
- Undi95/MMSoul-13b-lora
Prompt template: Alpaca
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
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Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf Undi95/ZettaPi-13B-GGUF:# Run inference directly in the terminal: llama-cli -hf Undi95/ZettaPi-13B-GGUF: