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| <title>Lysos · Open-source antibiotic designer · Gemma 4 + AMD MI300X</title> |
| <meta name="description" content="Three-stage fine-tune of Gemma 4 31B-it on AMD MI300X. Multi-agent debate engine. End-to-end live agentic workspace for antimicrobial-resistance drug design." /> |
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| <div class="wrap"> |
|
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| <div class="hero"> |
| <h1>Lysos</h1> |
| <div class="tagline"> |
| Open-source generative antibiotic designer for the AMR pandemic.<br/> |
| Three-stage fine-tune of Gemma 4 31B-it on AMD MI300X. Multi-agent debate engine. End-to-end live agentic workspace. |
| </div> |
| <div class="badges"> |
| <span class="badge amd">🏆 AMD Developer Hackathon 2026</span> |
| <span class="badge">Track 2 · Fine-Tuning on AMD GPUs</span> |
| <span class="badge green">MIT License</span> |
| </div> |
| </div> |
|
|
| <h2>Live links</h2> |
| <div class="grid"> |
| <div class="card"> |
| <div class="label">Source</div> |
| <h3><a href="https://github.com/Rahul-Rajpurohitk/lysos">GitHub repo →</a></h3> |
| <p>FastAPI backend · React+Vite frontend · training pipeline · agentic harness · MIT</p> |
| </div> |
| <div class="card"> |
| <div class="label">Production model</div> |
| <h3><a href="https://huggingface.co/rahul24raj/lysos-base-dpo">rahul24raj/lysos-base-dpo →</a></h3> |
| <p>Stage 2.5 DPO · LoRA r=32 · adapter on Gemma 4 31B-it</p> |
| </div> |
| <div class="card"> |
| <div class="label">SFT model</div> |
| <h3><a href="https://huggingface.co/rahul24raj/lysos-base">rahul24raj/lysos-base →</a></h3> |
| <p>Stage 2 SFT · LoRA r=64 · 222,606 AMR examples</p> |
| </div> |
| <div class="card"> |
| <div class="label">Pretraining model</div> |
| <h3><a href="https://huggingface.co/rahul24raj/txgemma-4-31b">rahul24raj/txgemma-4-31b →</a></h3> |
| <p>Stage 1 · continued pretraining for therapeutics · LoRA r=64 α=256</p> |
| </div> |
| <div class="card"> |
| <div class="label">Training dataset</div> |
| <h3><a href="https://huggingface.co/datasets/rahul24raj/lysos-amr-stage2">lysos-amr-stage2 →</a></h3> |
| <p>222,606 AMR records · 8 priority pathogens · ChEMBL + literature + curated negatives</p> |
| </div> |
| <div class="card"> |
| <div class="label">Demo videos</div> |
| <h3><a href="https://github.com/Rahul-Rajpurohitk/lysos/releases/tag/v1.0-hackathon-submission">v1.0 release →</a></h3> |
| <p>Merged 9:08 walkthrough + 3 individual scenes (agentic flow, system tour, full)</p> |
| </div> |
| </div> |
|
|
| <div class="video-card"> |
| <div class="label" style="color: var(--text-dim); font-size: 10px; letter-spacing: 1px; text-transform: uppercase; font-weight: 700;">9-MINUTE FULL WALKTHROUGH</div> |
| <h3 style="margin: 8px 0; font-size: 22px; color: var(--text);">Watch the demo</h3> |
| <p style="margin: 0 0 12px; color: var(--text-dim); font-size: 13px;"> |
| Multi-agent debate · live workspace · real-time scoring · resistance escape map · Pareto frontier |
| </p> |
| <a href="https://github.com/Rahul-Rajpurohitk/lysos/releases/download/v1.0-hackathon-submission/lysos-demo-merged.mp4">▶ Play (41 MB)</a> |
| </div> |
|
|
| <h2>The three-stage fine-tune</h2> |
| <p style="color: var(--text-dim);">Every stage trains a LoRA adapter on top of <code style="color: var(--purple-2);">google/gemma-4-31B-it</code>. All adapters are public on Hugging Face.</p> |
| <div class="stages"> |
| <div class="stage"> |
| <div class="num">STAGE 1</div> |
| <div class="name">TxGemma-4 31B</div> |
| <div class="meta">LoRA r=64, α=256 · ~2 hr on 1× MI300X<br/>Continued pretraining for therapeutics</div> |
| </div> |
| <div class="stage"> |
| <div class="num">STAGE 2</div> |
| <div class="name">lysos-base</div> |
| <div class="meta">LoRA r=64, α=128 · ~3 hr on 1× MI300X<br/>SFT on 222,606 AMR examples</div> |
| </div> |
| <div class="stage"> |
| <div class="num">STAGE 2.5</div> |
| <div class="name">lysos-base-dpo</div> |
| <div class="meta">LoRA r=32, α=64, β=0.1 · ~45 min on 1× MI300X<br/>DPO on 10K hard-negative Pareto pairs</div> |
| </div> |
| </div> |
|
|
| <h2>The multi-agent debate</h2> |
| <p style="color: var(--text-dim);">When you fire <code style="color: var(--purple-2);">/wf design_with_debate</code>, four agent roles take turns — each is a separate LLM call.</p> |
| <div class="agent-flow"> |
| <span class="agent a-d">DESIGNER</span> |
| <span class="arr">─ proposes 3 ──▶</span> |
| <span class="agent a-c">CRITIC</span> |
| <span class="arr">── critiques ──▶</span> |
| <span class="agent a-e">EDITOR</span> |
| <span class="arr">── refines ──▶</span> |
| <span class="agent a-s">STRATEGIST</span> |
| </div> |
| <p style="color: var(--text-dim); font-size: 13px; text-align: center; margin-top: 14px;"> |
| Strategist picks winner + runner-up + next action.<br/> |
| Winner SMILES auto-loads to 2D builder + 3D pocket viewer + 12-axis reward radar + resistance escape map. |
| </p> |
|
|
| <h2>Why MI300X is load-bearing</h2> |
| <p style="color: var(--text-dim);"> |
| 192 GB HBM3 lets us fit Gemma 4 31B base in bf16 + LoRA adapter + KV cache + agent context |
| <strong style="color: var(--text);">coresident on one GPU</strong>. Same GPU trains and serves. |
| No tensor parallelism, no model sharding, no migration step. |
| Total wall-clock for the three-stage fine-tune: <strong style="color: var(--purple-2);">~6 hours on 1 GPU</strong>. |
| </p> |
|
|
| <h2>Run it locally</h2> |
| <pre>git clone https://github.com/Rahul-Rajpurohitk/lysos.git |
| cd lysos |
| python3 -m venv .venv && source .venv/bin/activate |
| pip install -e . |
| uvicorn workspace.api.server:app --host 0.0.0.0 --port 7860 & |
|
|
| cd workspace/web && npm install && npm run dev |
| # open http://localhost:5173</pre> |
|
|
| <footer> |
| <p> |
| <strong>License</strong>: MIT (code) · Apache-2.0 / Gemma terms (weights) · CC-BY (datasets)<br/> |
| Built for the <a href="https://lablab.ai">AMD Developer Hackathon 2026</a> · Track 2: Fine-Tuning on AMD GPUs |
| </p> |
| </footer> |
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