Instructions to use HuggingFaceBio/Carbon-500M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use HuggingFaceBio/Carbon-500M-GGUF with 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:Q4_K_M # Run inference directly in the terminal: llama cli -hf HuggingFaceBio/Carbon-500M-GGUF:Q4_K_M
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:Q4_K_M # Run inference directly in the terminal: llama cli -hf HuggingFaceBio/Carbon-500M-GGUF:Q4_K_M
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:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf HuggingFaceBio/Carbon-500M-GGUF:Q4_K_M
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:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf HuggingFaceBio/Carbon-500M-GGUF:Q4_K_M
Use Docker
docker model run hf.co/HuggingFaceBio/Carbon-500M-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use HuggingFaceBio/Carbon-500M-GGUF with Ollama:
ollama run hf.co/HuggingFaceBio/Carbon-500M-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use HuggingFaceBio/Carbon-500M-GGUF with Docker Model Runner:
docker model run hf.co/HuggingFaceBio/Carbon-500M-GGUF:Q4_K_M
- Lemonade
How to use HuggingFaceBio/Carbon-500M-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull HuggingFaceBio/Carbon-500M-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Carbon-500M-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
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: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
- Source weights: HuggingFaceBio/Carbon-500M
- Other GGUF variants: 500M · 3B · 8B
License
Apache-2.0, inherited from the source model.
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Install (macOS, Linux)
# 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: