About 7.62B parameters
Safetensors metadata reports 7,615,616,512 parameters, or about 7.62B.
Open Source Model Profile · EQUES
JPharmatron-7B is a 7.62B-parameter Qwen2 text-generation model from EQUES. Its model card describes it as a language model for pharmaceutical applications and research, and captured metadata records cc-by-sa-4.0.
EQUES publishes JPharmatron-7B as a transformers text-generation model. Captured config identifies Qwen2ForCausalLM with a qwen2 model type, and Safetensors metadata reports 7,615,616,512 parameters. Card data records cc-by-sa-4.0. Hub tags include pharmacy, biology, chemistry, medical, en, ja, arxiv:2505.16661, and EQUES/JPharmatron-7B-base as base model and finetune. The card says EQUES Inc. developed it.
Safetensors metadata reports 7,615,616,512 parameters, or about 7.62B.
Captured metadata records a cc-by-sa-4.0 license. The model card also lists CC-BY-SA-4.0.
The model card describes JPharmatron-7B as designed for pharmaceutical applications and research, with Japanese and English as listed languages.
The publisher states the model is not validated for medical use or any other risk-sensitive use.
Source: EQUES/JPharmatron-7B
Captured: Unknown. Processed: 2026-09-07T19:35:05.056862+00:00.
JPharmatron-7B JPharmatron-7B is a 7B large language model designed for pharmaceutical applications and researches. Model Details Model Description The JPharmatron-7B is continually pre-trained using 8.8B tokens from Japanese and English datasets, based on Qwen2.5-7B. Compared to the JPharmatron-7B-base model, JPharmatron-7B has enhanced chat capabilities, obtained from Qwen2.5-7B-Instruct via model merging. Developed by: EQUES Inc. Funded by [optional]: GENIAC Project Model type: Causal decoder-only Language(s) (NLP): Japanese, English License: CC-BY-SA-4.0 Model Sources [optional] Repository: https://github.com/EQUES-Inc/pharma-LL…
F001F002F003F004F005F006F007F008F009F010F011F012F013F014F015