BioMedLM

BioMedLM is a biomedical language model based on the GPT architecture, developed collaboratively by the Stanford University and DataBricks teams. It has 270 million parameters and is trained on specialized knowledge in the biomedical field, enabling it to effectively answer complex questions related to medicine and biology. It can be easily fine-tuned on a single A100 GPU and run inference on a laptop. BioMedLM achieves a score of 57.3% on MedMCQA and 69.0% on the MMLU medical genetics exam. Features include a biomedical question answering system, patient consultation response, literature retrieval and summarization, data privacy and on-premise deployment, and complete record of model training data.

Best AI Websites & Tools

BioMedLM

BioMedLM Visit Over Time

BioMedLM Visit Trend

BioMedLM Visit Geography

BioMedLM Traffic Sources

BioMedLM Alternatives

DataGemma — Connects large language models with Google’s data-sharing platform to reduce AI hallucination phenomena.

ell — A lightweight programming library for language models, treating prompts as functions.

MiniCPM3-4B — High-performance third-generation MiniCPM series model.

Zamba2-mini — A cutting-edge small language model designed for edge applications.

Phi-3 — An efficient and cost-effective small language model

Grok-2 — A cutting-edge language model with advanced reasoning capabilities.

Peach-9B-8k-Roleplay — A large language model for dialogue generation through role-playing

Llama3.1-8B-Chinese-Chat — An instruction-tuned language model tailored for bilingual users.

Meta Llama 3.1-405B — Large multilingual pre-trained language model

DCLM-baseline — High-performance language model benchmark dataset

DCLM-7B — 700 million parameter language model, demonstrating the effectiveness of data organization technology.

Qwen2-Audio — Large audio language model launched by Alibaba Cloud

H2O-Danube2-1.8B — Open-source tiny language model, suitable for enterprise applications

Enchanted — An iOS/macOS app for conversing with private self-hosted language models

Gemma-2-27B-Chinese-Chat — The first instruction-tuned language model for Chinese and English users

Arcee Spark — A highly efficient and compact 7B parameter language model

Gemma-2-9B-Chinese-Chat — Multifunctional Chinese-English Dialogue Model

Index-1.9B-Character — A 1.9 billion parameter role-playing model that supports few-shot role customization.

Llama3-70B-SteerLM-RM — A 70-billion parameter multi-faceted reward model

Multi-Token Prediction — A multi-token prediction model designed to boost the efficiency and performance of language models

VideoLLaMA2-7B — A large video-language model that provides video question answering and video captioning.

MDLM — An efficient masked diffusion language model.

Samba — Official implementation of an efficient infinite context language model

UltraMedical — A specialized general-purpose model for the biomedical field

Refuel LLM-2 — An advanced language model designed for data annotation, cleaning, and enrichment.

Llama3-Aloe-8B-Alpha — Aloe is a high-performance language model specifically designed for the medical field, offering advanced text generation and dialogue capabilities.

MAP-NEO — MAP-NEO is an entirely open-source large language model offering advanced natural language processing capabilities.

Gemma-2B-10M — The Gemma 2B model supports 10M sequence length, optimizes memory usage, and is suitable for large-scale language model applications.

Trustworthy Language Model (TLM) Playground — Try Cleanlab's Trustworthy Language Model (TLM) in your browser