: A more recent large language model (LLM) assistant designed to help researchers navigate knowledge in battery science .
| Feature | Description | |---------|-------------| | | Transformer‑based encoder‑decoder with cross‑modal attention layers. | | Parameters | Approximately 1.5 billion trainable weights (base model) with optional fine‑tuned variants up to 6 B. | | Training Data | 1.2 TB of paired text‑image data plus a curated corpus of scientific papers (chemistry, materials science). | | Modalities | Text, static images (up to 1024 × 1024 px), and limited video‑frame input (single‑frame inference). | | Safety | Built‑in toxic‑content filter and a “chemistry‑aware” guardrail that flags potentially hazardous synthesis instructions. | lisa+model+chemal+and+gegg+sets+175+link
Dozens of professional photographs capturing different angles and expressions. : A more recent large language model (LLM)
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