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Carbon 500M, 3B, 8B genomic models and GGUF variants for llama.cpp • 7 items • Updated • 51
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 HuggingFaceBio/Carbon-8B-GGUF:# Run inference directly in the terminal:
llama cli -hf HuggingFaceBio/Carbon-8B-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-8B-GGUF:# Run inference directly in the terminal:
./llama-cli -hf HuggingFaceBio/Carbon-8B-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-8B-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf HuggingFaceBio/Carbon-8B-GGUF:Use Docker
docker model run hf.co/HuggingFaceBio/Carbon-8B-GGUF:Quick Links
Carbon-8B GGUF
Available files
| Quant | File | Size |
|---|---|---|
| BF16 | carbon-8b-bf16.gguf |
15.4 GB |
| Q8_0 | carbon-8b-q8_0.gguf |
8.2 GB |
| Q6_K | carbon-8b-q6_k.gguf |
6.6 GB |
| Q5_K_M | carbon-8b-q5_k_m.gguf |
5.9 GB |
| Q4_K_M | carbon-8b-q4_k_m.gguf |
5.2 GB |
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-8B 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-8B-GGUF:Q8_0 -p '<dna>ATGCGCTAGCTACGATCGATCGTAGCTAGCTAGCTAGCTACG' -n 128 --temp 0
llama serve -hf HuggingFaceBio/Carbon-8B-GGUF:Q8_0 serves the same model over HTTP; send raw prompts to its /completion endpoint.
- Metadata conditioning: prefix the prompt with tags, e.g.
<vertebrate_mammalian><protein_coding_region><dna>ATGCGCTAG. - Speculative decoding: add
-hfd HuggingFaceBio/Carbon-500M-GGUF:Q8_0to use Carbon-500M, which shares the vocabulary, as a draft model (about 2x faster at temperature 0). - Long context: for up to 65k tokens (about 393 kbp), add
-c 65536 --rope-scaling yarn --rope-scale 4 --yarn-orig-ctx 32768. - Likelihoods:
llama perplexity -hf HuggingFaceBio/Carbon-8B-GGUF:Q8_0 -f dna.txtgives corpus perplexity. For per-sequence log-likelihoods, use the Pythonscore()from the source card.
See also
- Source weights: HuggingFaceBio/Carbon-8B
- Other GGUF variants: 500M · 3B · 8B
License
Apache-2.0, inherited from the source model.
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Model tree for HuggingFaceBio/Carbon-8B-GGUF
Base model
HuggingFaceBio/Carbon-8B
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf HuggingFaceBio/Carbon-8B-GGUF:# Run inference directly in the terminal: llama cli -hf HuggingFaceBio/Carbon-8B-GGUF: