hyenadna-medium-450k-seqlen-hf
Welcome! HyenaDNA is a long-range genomic foundation model pretrained on context lengths of up to 1 million tokens at single nucleotide resolution.
Params
28 M
Context
—
Downloads 30d
221 K
Likes
2
Download history
tracking started — chart appears after 7 days of snapshots (4 recorded)221 K downloads in the last 30 days
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 0.1 GB | 0.6 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ curl -s https://aimodelscomparison.com/api/v1/models/hyenadna-medium-450k-seqlen-hf
{
"hf_id": "LongSafari/hyenadna-medium-450k-seqlen-hf",
"params_b": 0.03,
"context_length": null,
"license": { "id": "bsd-3-clause", "commercial": "yes" },
"downloads_30d": 220797,
"vram_estimates": [
{ "quant": "f32", "gb": 0.6 }
],
"updated_at": "2026-09-18T01:00:38Z"
}
Specifications
- Architecture
- HyenaDNAForCausalLM
- Parameters
- 28 M
- Tensor type
- F32
- Vocabulary
- 12
- Licence
- bsd-3-clause
- First seen on the Hub
- 2023-11-03
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-18
Compare with any text-generation model