Instructions to use HuggingFaceBio/Carbon-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HuggingFaceBio/Carbon-8B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="HuggingFaceBio/Carbon-8B")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("HuggingFaceBio/Carbon-8B")
model = AutoModelForCausalLM.from_pretrained("HuggingFaceBio/Carbon-8B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use HuggingFaceBio/Carbon-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HuggingFaceBio/Carbon-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HuggingFaceBio/Carbon-8B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/HuggingFaceBio/Carbon-8B

SGLang

How to use HuggingFaceBio/Carbon-8B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "HuggingFaceBio/Carbon-8B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HuggingFaceBio/Carbon-8B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "HuggingFaceBio/Carbon-8B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HuggingFaceBio/Carbon-8B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use HuggingFaceBio/Carbon-8B with Docker Model Runner:
```
docker model run hf.co/HuggingFaceBio/Carbon-8B
```

Fix links to the tech report and Carbon evals

by lewtun HF Staff - opened 14 days ago

base: refs/heads/main

←

from: refs/pr/3

Discussion Files changed

-3

Files changed (1) hide show

README.md +3 -3

README.md CHANGED Viewed

@@ -12,7 +12,7 @@ tags:
 ![](figures/carbon-8b-banner.png)
 <p align="center">
-  <a href="https://huggingface.co/HuggingFaceBio/Carbon-3B/blob/main/tech-report.pdf"><b>Technical Report</b> 🧬</a>
 </p>
 # Carbon-8B
@@ -21,7 +21,7 @@ A larger, higher-capacity member of the **Carbon** family of generative DNA foun
 Carbon-8B is the 8B-parameter sibling of [Carbon-3B](https://huggingface.co/HuggingFaceBio/Carbon-3B). It is intended for users who can afford additional inference cost in exchange for stronger downstream performance. For the full design rationale, tokenizer specification, evaluation protocol, and usage details, please refer to the **[Carbon-3B model card](https://huggingface.co/HuggingFaceBio/Carbon-3B)** and the Carbon technical report — this card focuses only on what is specific to Carbon-8B.
-- Technical report: https://github.com/huggingface/carbon/blob/main/tech-report.pdf
 - Demo: https://huggingface.co/spaces/HuggingFaceBio/carbon-demo
 ## Model Summary
@@ -134,7 +134,7 @@ Training infrastructure, framework ([Megatron-LM-Carbon](https://github.com/hugg
 ## Evaluation
-All evaluations are zero-shot and use the [public Carbon evaluation pipeline](https://github.com/huggingface/carbon/tree/main/evaluation). See the [Carbon-3B card](https://huggingface.co/HuggingFaceBio/Carbon-3B#evaluation) for the full task suite, metrics, and methodology.
 ### Downstream tasks

 ![](figures/carbon-8b-banner.png)
 <p align="center">
+  <a href="https://www.biorxiv.org/content/10.64898/2026.05.22.727119v1"><b>Technical Report</b> 🧬</a>
 </p>
 # Carbon-8B
 Carbon-8B is the 8B-parameter sibling of [Carbon-3B](https://huggingface.co/HuggingFaceBio/Carbon-3B). It is intended for users who can afford additional inference cost in exchange for stronger downstream performance. For the full design rationale, tokenizer specification, evaluation protocol, and usage details, please refer to the **[Carbon-3B model card](https://huggingface.co/HuggingFaceBio/Carbon-3B)** and the Carbon technical report — this card focuses only on what is specific to Carbon-8B.
+- Technical report: https://www.biorxiv.org/content/10.64898/2026.05.22.727119v1
 - Demo: https://huggingface.co/spaces/HuggingFaceBio/carbon-demo
 ## Model Summary
 ## Evaluation
+All evaluations are zero-shot and use the [public Carbon evaluation pipeline](https://github.com/huggingface/carbon/tree/main/carbon/evaluation). See the [Carbon-3B card](https://huggingface.co/HuggingFaceBio/Carbon-3B#evaluation) for the full task suite, metrics, and methodology.
 ### Downstream tasks