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
- 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 Studio
How to use HuggingFaceBio/Carbon-500M-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for HuggingFaceBio/Carbon-500M-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for HuggingFaceBio/Carbon-500M-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for HuggingFaceBio/Carbon-500M-GGUF to start chatting
- 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
| license: apache-2.0 | |
| library_name: gguf | |
| base_model: HuggingFaceBio/Carbon-500M | |
| language: | |
| - dna | |
| tags: | |
| - dna | |
| - genomic | |
| - llama.cpp | |
| - gguf | |
| - hybriddna | |
| # Carbon-500M GGUF | |
| ## Running with llama.cpp | |
| Carbon is a **base** DNA model (not instruction-tuned). Use the raw completion | |
| front-end so llama.cpp does not apply any chat templating: | |
| ```bash | |
| llama-completion \ | |
| -hf HuggingFaceBio/Carbon-500M-GGUF:Q8_0 \ | |
| --prompt "<dna>ATGCGCTAGCTACGATCGATCGTAGCTAGCTAGCTAGCTACG" \ | |
| -n 128 --temp 0 --no-display-prompt | |
| ``` | |
| If you use `llama-cli` instead, pass `-no-cnv` so it does not wrap the prompt | |
| in assistant-style markers (otherwise the model may emit annotation tags such | |
| as `<protein_coding_region>` instead of DNA). | |
| ## 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). | |
| ## Requires a recent llama.cpp | |
| HybridDNATokenizer support was merged in [ggml-org/llama.cpp#23410](https://github.com/ggml-org/llama.cpp/pull/23410), so any build from `master` after that works: | |
| ```bash | |
| git clone https://github.com/ggml-org/llama.cpp | |
| cd llama.cpp && cmake -B build && cmake --build build -j | |
| ``` | |
| ## Usage | |
| ### Download | |
| ```bash | |
| hf download HuggingFaceBio/Carbon-500M-GGUF carbon-500m-bf16.gguf --local-dir . | |
| ``` | |
| ### Basic DNA completion | |
| ```bash | |
| ./build/bin/llama-completion -m carbon-500m-bf16.gguf \ | |
| -p '<dna>ATGCGCTAGCTACGATCGATCGTAGCTAGCTAGCTAGCTACG' \ | |
| -n 64 --temp 0 -no-cnv | |
| ``` | |
| ### As a draft model for speculative decoding | |
| Carbon-500M shares the HybridDNA vocab with the larger models, so it makes an excellent draft model: | |
| ```bash | |
| # 8B target + 500M draft -> ~2x speedup at temp=0 | |
| ./build/bin/llama-speculative \ | |
| -m carbon-8b-bf16.gguf \ | |
| -md carbon-500m-bf16.gguf \ | |
| -p '<dna>ATGCGCTAGCTACGATCGATCGTAGCTAGCTAGCTAGCTACG' \ | |
| -n 256 --temp 0 | |
| ``` | |
| ## See also | |
| - Source weights: [HuggingFaceBio/Carbon-500M](https://huggingface.co/HuggingFaceBio/Carbon-500M) | |
| - Other GGUF variants: [500M](https://huggingface.co/HuggingFaceBio/Carbon-500M-GGUF) 路 [3B](https://huggingface.co/HuggingFaceBio/Carbon-3B-GGUF) 路 [8B](https://huggingface.co/HuggingFaceBio/Carbon-8B-GGUF) | |
| ## License | |
| Apache-2.0, inherited from the source model. | |