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# ibm/biomed.sm.mv-te-84m-MoleculeNet-ligand_scaffold-FREESOLV-101 biomed.sm.mv-te-84m is a multimodal biomedical foundation model for small molecules created using MMELON (Multi-view Molecular Embedding with Late Fusion), a flexible approach to aggregate multiple views (sequence, image, graph) of…

# ibm/biomed.sm.mv-te-84m-MoleculeNet-ligand_scaffold-QM7-101 biomed.sm.mv-te-84m is a multimodal biomedical foundation model for small molecules created using MMELON (Multi-view Molecular Embedding with Late Fusion), a flexible approach to aggregate multiple views (sequence, image, graph) of…

# ibm/biomed.sm.mv-te-84m-MoleculeNet-ligand_scaffold-BBBP-101 biomed.sm.mv-te-84m is a multimodal biomedical foundation model for small molecules created using MMELON (Multi-view Molecular Embedding with Late Fusion), a flexible approach to aggregate multiple views (sequence, image, graph) of…

# ibm/biomed.sm.mv-te-84m-MoleculeNet-ligand_scaffold-ESOL-101 biomed.sm.mv-te-84m is a multimodal biomedical foundation model for small molecules created using MMELON (Multi-view Molecular Embedding with Late Fusion), a flexible approach to aggregate multiple views (sequence, image, graph) of…

# ibm/biomed.sm.mv-te-84m-MoleculeNet-ligand_scaffold-CLINTOX-101 biomed.sm.mv-te-84m is a multimodal biomedical foundation model for small molecules created using MMELON (Multi-view Molecular Embedding with Late Fusion), a flexible approach to aggregate multiple views (sequence, image, graph) of…

# ibm/biomed.sm.mv-te-84m-MoleculeNet-ligand_scaffold-TOXCAST-101 biomed.sm.mv-te-84m is a multimodal biomedical foundation model for small molecules created using MMELON (Multi-view Molecular Embedding with Late Fusion), a flexible approach to aggregate multiple views (sequence, image, graph) of…

# ibm/biomed.sm.mv-te-84m-MoleculeNet-ligand_scaffold-LIPOPHILICITY-101 biomed.sm.mv-te-84m is a multimodal biomedical foundation model for small molecules created using MMELON (Multi-view Molecular Embedding with Late Fusion), a flexible approach to aggregate multiple views (sequence, image,…

# ibm/biomed.sm.mv-te-84m-MoleculeNet-ligand_scaffold-TOX21-101 biomed.sm.mv-te-84m is a multimodal biomedical foundation model for small molecules created using MMELON (Multi-view Molecular Embedding with Late Fusion), a flexible approach to aggregate multiple views (sequence, image, graph) of…

# ibm/biomed.sm.mv-te-84m-MoleculeNet-ligand_scaffold-SIDER-101 biomed.sm.mv-te-84m is a multimodal biomedical foundation model for small molecules created using MMELON (Multi-view Molecular Embedding with Late Fusion), a flexible approach to aggregate multiple views (sequence, image, graph) of…

# ibm/biomed.sm.mv-te-84m-MoleculeNet-ligand_scaffold-MUV-101 biomed.sm.mv-te-84m is a multimodal biomedical foundation model for small molecules created using MMELON (Multi-view Molecular Embedding with Late Fusion), a flexible approach to aggregate multiple views (sequence, image, graph) of…

Dataset for paper "Teach Multimodal LLMs to Comprehend Electrocardiographic Images".

The plant DNA large language models (LLMs) contain a series of foundation models based on different model architectures, which are pre-trained on various plant reference genomes. All the models have a comparable model size between 90 MB and 150 MB, BPE tokenizer is used for tokenization and 8000…

The plant DNA large language models (LLMs) contain a series of foundation models based on different model architectures, which are pre-trained on various plant reference genomes. All the models have a comparable model size between 90 MB and 150 MB, BPE tokenizer is used for tokenization and 8000…

Indus (previously known as nasa-smd-ibm-v0.1) is a RoBERTa-based, Encoder-only transformer model, domain-adapted for NASA Science Mission Directorate (SMD) applications. It's fine-tuned on scientific journals and articles relevant to NASA SMD, aiming to enhance natural language technologies like…

Indus-Retriever (nasa-smd-ibm-st-v2) is a Bi-encoder sentence transformer model, that is fine-tuned from nasa-smd-ibm-v0.1 encoder model. it is an updated version of nasa-smd-ibm-st with better performance (shown below). It's trained with 271 million examples along with a domain-specific dataset of…

license: mit language: - en metrics: - f1 tags: - medical

MediFlow se trata de un modelo inicializado con xlnet-large-cased y adaptado con preguntas y especialidades para poder realizar Derivaciones Automatizadas en Servicios Hospitalarios. El dataset se puede encontrar de manera pública y se trata de MedDialog EN.

[OTO–HNS2024] A Deep Learning Framework for Analysis of the Eustachian Tube and the Internal Carotid Artery Ameen Amanian, Aseem Jain, Yuliang Xiao, Chanha Kim, Andy S. Ding, Manish Sahu, Russell Taylor, Mathias Unberath, Bryan K. Ward, Deepa Galaiya, Masaru Ishii, Francis X.

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

> [!IMPORTANT] > Better using New version of ChemLLM! > AI4Chem/ChemLLM-7B-Chat-1.5-DPO or AI4Chem/ChemLLM-7B-Chat-1.5-SFT

Chemma-2B is a continually pretrained gemma-2b model for organic molecules. It is pretrained on 40B tokens covering 110M+ molecules from PubChem as well as their chemical properties (molecular weight, synthetic accessibility score, drug-likeness etc.) and similarities (Tanimoto distance between…

## Quick Start ```Python from transformers import AutoTokenizer, AutoModel

# Mistral-7B-DSM5 This model is fine-tuned from the Mistral-7b-Instruct-v0.2. We propose a method where an Instruct-Tuned language model first acquires knowledge in a specific domain through RAG (Retrieval-Augmented Generation) techniques.

!alt text

TinyDNABERT is a specialized deep learning model designed for understanding the language of DNA and performing DNA sequence classification tasks. This model is a compact and efficient version of the DNABERT model, optimized to reduce memory usage while maintaining high performance.

ChemFIE-SA is a BERT-like sequence classifier for predicting synthesis accessibility given a SELFIES string of a compound, fine-tuned from gbyuvd/chemselfies-base-bertmlm on DeepSA's expanded dataset from Wang et al. 2023.

This model is a BERT-like sequence classifier for 221 human protein drug targets, fine-tuned from gbyuvd/chemselfies-base-bertmlm on a dataset derived ChemBL34 (Zdrazil et al. 2023). It predicts potential drug targets using chemical structures represented as SELFIES (Self-Referencing Embedded…

The Mistral-DNA-v1-138M-bacteria Large Language Model (LLM) is a pretrained generative DNA text model with 17.31M parameters x 8 experts = 138.5M parameters. It is derived from Mistral-7B-v0.1 model, which was simplified for DNA: the number of layers and the hidden size were reduced.

Model Card for "medllama" ---------------------------

This is a ReactionT5 pre-trained to predict the products of reactions.

Universal Cell Embeddings (UCE) is a foundation model designed for single-cell RNA sequencing data analysis. UCE generates a universal representation of cells that captures the molecular diversity across different cell types, tissues, and species.

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## Model Overview AgroNT is a DNA language model trained on primarily edible plant genomes. More specifically, AgroNT uses the transformer architecture with self-attention and a masked language modeling objective to leverage highly available genotype data from 48 different plant speices to learn…

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

# Medical-Llama3-v2 Fine-Tuned Llama3 for Medical Q&A This repository provides a fine-tuned version of the powerful Llama3 8B model, specifically designed to answer medical questions in an informative way. It leverages the rich knowledge contained in the AI Medical Chatbot dataset…

This is an official model checkpoint for Asclepius-Mistral-7B-v0.3 (arxiv). This model is an enhanced version of Asclepius-7B, by replacing the base model with Mistral-7B-v0.3 and increasing the max sequence length to 8192.

This is an official model checkpoint for Asclepius-Llama3-8B (arxiv). This model is an enhanced version of Asclepius-7B, by replacing the base model with Llama-3 and increasing the max sequence length to 8192.

The Me-LLaMA model consists of two foundation models: Me-LLaMA 13B and Me-LLaMA 70B, along with their chat-enhanced counterparts, Me-LLaMA 13B-chat and Me-LLaMA 70B-chat. These models are designed for superior chat and instruction-following capabilities.

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

This model is developed by Basel Anaya.

# MMedLM 💻Github Repo 🖨️arXiv Paper

This model is deprecated. please use the updated sentence transformer model here: https://huggingface.co/nasa-impact/nasa-smd-ibm-st-v2. Alternatively, you can also use distilled version of the model here: https://huggingface.co/nasa-impact/nasa-ibm-st.38m

# JSL-MedLlama-3-8B-v2.0

Reference: R. Luu and M.J. Buehler, "BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials," Adv. Science, 2023, DOI: https://doi.org/10.1002/advs.202306724

Medical mT5: An Open-Source Multilingual Text-to-Text LLM for the Medical Domain

# ChemLLM-7B-Chat-1.5-DPO: LLM for Chemistry and Molecule Science ChemLLM-7B-Chat-1.5-DPO, The First Open-source Large Language Model for Chemistry and Molecule Science, Build based on InternLM-2 with ❤