How to use from
llama.cpp
Install from brew
brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf gaianet/Seed-Coder-8B-Instruct-GGUF:
# Run inference directly in the terminal:
llama-cli -hf gaianet/Seed-Coder-8B-Instruct-GGUF:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf gaianet/Seed-Coder-8B-Instruct-GGUF:
# Run inference directly in the terminal:
llama-cli -hf gaianet/Seed-Coder-8B-Instruct-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 gaianet/Seed-Coder-8B-Instruct-GGUF:
# Run inference directly in the terminal:
./llama-cli -hf gaianet/Seed-Coder-8B-Instruct-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 gaianet/Seed-Coder-8B-Instruct-GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf gaianet/Seed-Coder-8B-Instruct-GGUF:
Use Docker
docker model run hf.co/gaianet/Seed-Coder-8B-Instruct-GGUF:
Quick Links

Seed-Coder-8B-Instruct-GGUF

Original Model

ByteDance-Seed/Seed-Coder-8B-Instruct

Run with Gaianet

Prompt template

prompt template: seed-instruct

Context size

chat_ctx_size: 32000

Run with GaiaNet

Quantized with llama.cpp b5341

Downloads last month
228
GGUF
Model size
8B params
Architecture
llama
Hardware compatibility
Log In to add your hardware

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for gaianet/Seed-Coder-8B-Instruct-GGUF