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 bluevoid-pl/zeta-2.1-GGUF:# Run inference directly in the terminal:
llama cli -hf bluevoid-pl/zeta-2.1-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 bluevoid-pl/zeta-2.1-GGUF:# Run inference directly in the terminal:
./llama-cli -hf bluevoid-pl/zeta-2.1-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 bluevoid-pl/zeta-2.1-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf bluevoid-pl/zeta-2.1-GGUF:Use Docker
docker model run hf.co/bluevoid-pl/zeta-2.1-GGUF:Quick Links
Zeta 2.1 GUFF
This is direct GUFF of zed-industries/zeta-2.1.
Quantizations prefixed with I in this repo do use input of dataset zed-industries/zeta and groups_merged.txt for imatrix.
Zeta 2.1 is a code edit prediction (also known as next-edit suggestion) model finetuned from ByteDance-Seed/Seed-Coder-8B-Base.
Given code context, edits history and an editable region around the cursor, it predicts the rewritten content for that region.
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Model tree for bluevoid-pl/zeta-2.1-GGUF
Base model
ByteDance-Seed/Seed-Coder-8B-Base
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf bluevoid-pl/zeta-2.1-GGUF:# Run inference directly in the terminal: llama cli -hf bluevoid-pl/zeta-2.1-GGUF: