HuggingFaceBio/Carbon-X
text-generation model by HuggingFaceBio
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Blog | Hugging Face Bio | Code An open 14B language model for DNA understanding and generation, from the Carbon family. Each comparison model is shown at the reasoning effort with its highest average score. Costs use standard API pricing; for Carbon-X, measured throughput per H200-hour at $5/hour. Carbon-X is a 14.8B-parameter decoder-only language model trained jointly on DNA sequences and natural-language text. You give it raw DNA inside an ordinary chat conversation and it answers in English: it predicts whether mutations are benign or pathogenic, identifies regions that control gene activity, classifies sequences by organism group, predicts the next bases of a sequence, and explains its reasoning. Responses can contain both DNA and natural language. DNA and text share a single token stream in a single decoder. There is no separate DNA encoder. A hybrid tokenizer keeps a BPE vocabulary for text and encodes DNA as non-overlapping 6-mers, so…
Read the full model card ↗ · Preview checked 2026-10-27T22:04:47.761Z
Inside the original model card — Document outline
- Carbon-X
- Table of Contents
- Model Summary
- Key features
- How to use
- Serving with vLLM
- Tokenizer: working with DNA inputs
- Prompting tips
- Evaluation
- Training
- Model
- Vocabulary extension
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
HuggingFaceBio/Carbon-X is a text-generation model repository published by HuggingFaceBio on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 3,534
- Cumulative likes
- 282
- Hugging Face trending score
- 105
- Reported safetensors parameters
- 14,822,046,720
- Architecture
- Qwen3ForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-21T10:21:04.000Z
- Last modified
- 2026-10-29T14:46:50.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Qwen/Qwen3-14B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.