gbrixi/evo2_7b_vllm

Evo 2 (vLLM)

Evo 2 is a state-of-the-art DNA language model trained autoregressively on trillions of DNA tokens.

For instructions, details, and examples, please refer to the Evo 2 gitHub and paper.

This is the vLLM checkpoint of arcinstitute/evo2_7b: the same model, converted to safetensors for the vLLM backend of Evo 2. Load it with

from evo2 import Evo2

model = Evo2('evo2_7b', backend='vllm')

For the Vortex backend, use arcinstitute/evo2_7b.

Evo 2 20B and 7B vLLM checkpoints, trained up to 1 million sequence length, are available here:

Checkpoint name	Num layers	Num parameters
evo2_20b	50	20B
evo2_7b	32	7B

We also share 7B and 1B base vLLM checkpoints trained on 8192 context length:

Checkpoint name	Num layers	Num parameters
evo2_7b_base	32	7B
evo2_1b_base	25	1B

Also available: evo2_7b_262k (7B, 262,144-token context) and evo2_7b_microviridae (7B base fine-tuned on Microviridae genomes).