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 Colby/starcoder-7b-agent-0.2-gguf:
# Run inference directly in the terminal:
llama-cli -hf Colby/starcoder-7b-agent-0.2-gguf:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Colby/starcoder-7b-agent-0.2-gguf:
# Run inference directly in the terminal:
llama-cli -hf Colby/starcoder-7b-agent-0.2-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 Colby/starcoder-7b-agent-0.2-gguf:
# Run inference directly in the terminal:
./llama-cli -hf Colby/starcoder-7b-agent-0.2-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 Colby/starcoder-7b-agent-0.2-gguf:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Colby/starcoder-7b-agent-0.2-gguf:
Use Docker
docker model run hf.co/Colby/starcoder-7b-agent-0.2-gguf:
Quick Links

starcoder-7b-agent-0.2-gguf

GGUF conversion of Colby/starcoder-7b-agent-0.2, round-2 LoRA fine-tune built on Colby/starcoder-7b-agent-0.1-merged (flattened round 1).

Trained on Roman1111111/claude-opus-4.6-10000x, togethercomputer/CoderForge-Preview, Crownelius/Opus-4.6-Reasoning-3300x, and Colby/starcoder-agent-format-sft.

Chat format: StarCoderChat with and / blocks.

Quantizations

File Format Size
starcoder-7b-agent-0.2-f16.gguf FP16 ~14 GB
starcoder-7b-agent-0.2-q8_0.gguf Q8_0 ~7 GB
starcoder-7b-agent-0.2-q5_k_m.gguf Q5_K_M ~5 GB
starcoder-7b-agent-0.2-q4_k_m.gguf Q4_K_M ~4 GB

Ollama usage

hf download Colby/starcoder-7b-agent-0.2-gguf starcoder-7b-agent-0.2-q4_k_m.gguf
ollama create starcoder-agent:7b -f Modelfile.starcoder-agent
ollama run starcoder-agent:7b
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starcoder
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