How to use from
llama.cpp
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf HuggingFaceBio/Carbon-500M-GGUF:
# Run inference directly in the terminal:
llama cli -hf HuggingFaceBio/Carbon-500M-GGUF:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf HuggingFaceBio/Carbon-500M-GGUF:
# Run inference directly in the terminal:
llama cli -hf HuggingFaceBio/Carbon-500M-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 HuggingFaceBio/Carbon-500M-GGUF:
# Run inference directly in the terminal:
./llama-cli -hf HuggingFaceBio/Carbon-500M-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 HuggingFaceBio/Carbon-500M-GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf HuggingFaceBio/Carbon-500M-GGUF:
Use Docker
docker model run hf.co/HuggingFaceBio/Carbon-500M-GGUF:
Quick Links

Carbon-500M GGUF

Available files

Quant File Size
BF16 carbon-500m-bf16.gguf 982.2 MB
Q8_0 carbon-500m-q8_0.gguf 524.6 MB
Q6_K carbon-500m-q6_k.gguf 443.2 MB
Q5_K_M carbon-500m-q5_k_m.gguf 405.1 MB
Q4_K_M carbon-500m-q4_k_m.gguf 369.2 MB

K-quants are produced with --token-embedding-type Q8_0 --output-tensor-type Q8_0 so the sensitive embedding/output tensors stay at Q8_0 precision (important for this model's tight DNA-vs-text logit margins).

How to use

Click Use this model > llama.cpp on this page for a ready-made snippet. To install llama.cpp, follow llama.app or download a prebuilt binary from the releases page.

Carbon-500M is a base DNA model, not a chat model, so use text completion rather than the chat UI. Start the prompt with <dna>:

llama completion -hf HuggingFaceBio/Carbon-500M-GGUF:Q8_0 -p '<dna>ATGCGCTAGCTACGATCGATCGTAGCTAGCTAGCTAGCTACG' -n 128 --temp 0

llama serve -hf HuggingFaceBio/Carbon-500M-GGUF:Q8_0 serves the same model over HTTP; send raw prompts to its /completion endpoint.

Carbon-500M shares its vocabulary with Carbon-3B and Carbon-8B, so it works as their draft model for speculative decoding: add -hfd HuggingFaceBio/Carbon-500M-GGUF:Q8_0 when running either of them.

See also

License

Apache-2.0, inherited from the source model.

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