TxGemma
AI models for faster drug development
TxGemma launched on March 29, 2025 with 134 votes, #326 of 7,215 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
TxGemma is the open model based on Google's Gemma 2, specialized for therapeutics development. Predict molecule properties, analyze data, or chat about results. Available on HF & Vertex AI.
TxGemma is a collection of open models designed to improve efficiency of therapeutic development using language models.
Developing a new therapeutic is risky, notoriously slow, and can cost billions of dollars. 90% of drug candidates fail beyond phase 1 trials . Today, we're excited to release TxGemma, a collection of open models designed to improve the efficiency of therapeutic development by leveraging the power of large language models. Building on Google DeepMind's Gemma , a family of lightweight, state-of-the-art open models, TxGemma is specifically trained to understand and predict the properties of therapeutic entities throughout the entire discovery process, from identifying promising targets to helping predict clinical trial outcomes. This can potentially shorten the time from lab to bedside, and…from developers.googleblog.com
Does a similar job
all alternatives →
TranslateGemma Jan 2026 · blog.google · ▲275Open translation on Google models, supporting 55 languages

Kitten TTS – 25MB CPU-Only, Open-Source TTS Model2025 · github.com · ▲1,003Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
Needle2: 14MB agentic LLM for phones, wearables, smart home and robotsAug 2026 · cactuscompute.com · ▲537Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art

PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Product Hunt launch ↗
Launched alongside, March 2025
the whole month →
Mimic Human Research & Save Findings in AI Knowledge Base
AI · 2025 · sider.ai




