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SettingsResearch demo · not for clinical or commercial use
Corollary
  1. Catalog
  2. Multi-Modal Foundation
  3. MIST 28M base

Multi-Modal Foundation · mist-models

MIST 28M base

MIST 28M base — pretrained molecular language model (fill-mask) used as the starting point for downstream property-prediction fine-tunes.

Verify the licence before commercial useThe See model card licence carries terms worth reading before you depend on it.See model card
Availability
On demand
Typical latency
12s
Credits per run
~28
Compute tier
S · Micro

< 1s

Runs on On-demand GPU

Runs on our servers with on-demand compute. A first run needs time to load the model; active capacity can be reused and scales down when idle.

Run this model

MIST 28M base

Use the model's mask token, commonly [MASK] or <mask>.

Needs sequence with a mask

About this model

MIST 28M base — pretrained molecular language model (fill-mask) used as the starting point for downstream property-prediction fine-tunes. Served through the generic Modal runner, which pulls mist-models/mist-28M-ti624ev1 from the Hugging Face Hub and runs it as a fill-mask pipeline. Inputs and outputs were derived from the repository's declared pipeline tag rather than written by hand — check the model card before relying on a result.

Standardized I/O contract

Every model in the Hub speaks the same contract, which is what lets the Router and the agent call any of them without special-casing.

Inputs

  • sequencetextarea · required

    Sequence with a mask

Outputs

  • labelstable

    Labels with confidence scores, highest first.

Specification

Hardware
CPU only
GPU memory
16 GB
Version
hub
Licence
See model card
Backend
On demandOn-demand GPU
MCP server
mcp-sandbox-server

Tasks

fill-mask

Source

  • Model card
  • Repository
chemistryfill-mask