cloudkites
/

medpodgp

@@ -1,182 +1,189 @@
----
-license: other
-license_name: medpodgp-eula
-license_link: LICENSE.md
-language:
-- en
-tags:
-- medical
-- clinical
-- healthcare
-- on-device
-- local-ai
-- speech-to-text
-- desktop-app
-pretty_name: MedPod GP — On-Device Medical AI Assistant
----
-# MedPod GP — On-Device Medical AI Assistant
-**MedPod GP** is a **desktop medical AI assistant** for clinicians and general
-practitioners that runs **entirely on your own computer**. Dictate and transcribe
-clinical encounters, chat with a medical language model, analyse medical images,
-search trusted reference packs, and draft structured EMR-ready notes — all
-**on-device**, with **no cloud account, no telemetry, and no network calls for
-inference**.
-A product of **CloudKites AI Lab (CloudKites Pty Ltd)**, Sydney, Australia.
-> 💚 **Free to download, use, and share.** MedPod GP is distributed **free of
-> charge**. You may use it and **redistribute the complete, unmodified official
-> installer** for free (no selling, no paid bundling). See **License** below.
-> ⚕️ **Clinical decision-support / documentation aid — not a medical device.**
-> MedPod GP does not diagnose, treat, or replace professional medical judgement.
-> All AI output must be reviewed and verified by a qualified clinician. See the
-> **Medical disclaimer & intended use** section below.
----
-## ⬇️ Installation (Windows)
-MedPod GP installs in **two steps**: first the **application**, then the **AI
-models** it runs. Both are downloaded from this page. **You must complete both
-steps** — the app needs its models installed before its AI features will work.
-### Step 1 — Install the MedPod GP app
-Download **one** build and run the installer:
-| Build | For | Installer |
-|---|---|---|
-| **GPU (CUDA)** | NVIDIA GPU (Compute Capability ≥ 7.0) — fastest; bundles the CUDA 13.2 + cuDNN 9 runtime | [**MedpodInstaller-1.3.0-cuda.exe**](https://huggingface.co/cloudkites/medpodgp/resolve/main/MedpodInstaller-1.3.0-cuda.exe) |
-| **CPU** | Any 64-bit Windows PC with **AVX2** (Intel Haswell 2013+ / AMD 2015+) | [**MedpodInstaller-1.3.0-cpu.exe**](https://huggingface.co/cloudkites/medpodgp/resolve/main/MedpodInstaller-1.3.0-cpu.exe) |
-The installers are **code-signed** (Microsoft Azure Trusted Signing) and
-self-contained — the GPU build bundles the NVIDIA CUDA/cuDNN runtime, so there is
-nothing else to install for the app itself.
-### Step 2 — Install the AI models
-**After installing the app**, download and run the **model installers** below. Each
-is a **code-signed Windows installer (`.exe`)** that places its AI model into
-MedPod GP's local models folder. Install the models for the features you want:
-| Model installer | Powers | Required? | Size |
-|---|---|---|---|
-| [**MedpodModels-medgemma.exe**](https://huggingface.co/cloudkites/medpodgp/resolve/main/MedpodModels-medgemma.exe) | **MedText** (medical chat), **MedVision** (image analysis), and AI note generation — MedGemma 1.5 | **Required** (core) | ~3.0 GB |
-| [**MedpodModels-asr.exe**](https://huggingface.co/cloudkites/medpodgp/resolve/main/MedpodModels-asr.exe) | **MedAudio** voice transcription — Qwen3-ASR | Required for transcription | ~1.4 GB |
-| [**MedpodModels-summariser.exe**](https://huggingface.co/cloudkites/medpodgp/resolve/main/MedpodModels-summariser.exe) | Auto-summarising long inputs before chat — Qwen3.5 summariser | Recommended | ~540 MB |
-> **Which models do I need?** At minimum install **MedpodModels-medgemma.exe** so
-> **MedText**, **MedVision**, and AI note generation work. Add
-> **MedpodModels-asr.exe** to use **MedAudio** voice transcription, and
-> **MedpodModels-summariser.exe** (recommended) so long notes and transcripts are
-> condensed before the chat model reads them. For the full experience, install all
-> three. **MedSearch** reference search works on its own — it needs no AI model.
-Once the app and at least the MedGemma model are installed, launch **MedPod GP** —
-it detects the installed models automatically and you can start working.
-**Documentation:**
-[User Guide (PDF)](https://huggingface.co/cloudkites/medpodgp/resolve/main/USER_GUIDE.pdf) ·
-[Product Information (PDF)](https://huggingface.co/cloudkites/medpodgp/resolve/main/PRODUCT_INFORMATION.pdf) ·
-[License](https://huggingface.co/cloudkites/medpodgp/resolve/main/LICENSE.md)
----
-## ✨ Features
-MedPod GP combines five clinical capabilities in one private, offline workspace:
-- **🎤 MedAudio — clinical transcription.** Record a consultation live (with a
-  real-time audio spectrogram) and transcribe it on-device with **Qwen3-ASR
-  0.6B**, then run clinical actions on the transcript.
-- **💬 MedText — medical chat.** Ask clinical questions of a hot-swappable medical
-  language model: **MedGemma 1.5 4B**, **Qwen3.5 4B**, or **Qwen3.5 2B**. Long
-  inputs are auto-summarised before the model reads them.
-- **🩻 MedVision — medical image analysis.** Upload a medical image and analyse it
-  with the **MedGemma 1.5** vision pipeline, with structured prompts for around
-  **10 imaging types**.
-- **🔎 MedSearch — reference search.** Fast full-text search over bundled medical
-  reference packs (eTG, AMH, foundation) — answers in milliseconds, fully offline.
-- **📝 Medical Note Drafting.** A cross-tab panel that captures content from any
-  tab into a structured clinical note and generates an **EMR-formatted final
-  note**, with **Markdown / PDF export**.
-- **100% private & offline.** Every model runs on your CPU or NVIDIA GPU; nothing
-  leaves your device. No account, no telemetry.
----
-## 💻 Which build for my computer?
-| Your PC | Recommended build | Notes |
-|---|---|---|
-| Has an NVIDIA GPU (Compute Capability ≥ 7.0) | **GPU (CUDA)** | Fastest transcription, chat, and image analysis. Bundles CUDA/cuDNN — nothing extra to install |
-| CPU-only, modern processor with **AVX2** (≈ 2014 onward), 16 GB+ RAM | **CPU** | Runs every feature; large models and image analysis are slower |
-If you are unsure whether your processor supports AVX2, the **CPU** build runs on
-essentially every Windows PC built since about 2014. Choose the **GPU (CUDA)**
-build whenever you have a supported NVIDIA graphics card.
----
-## ⚕️ Medical disclaimer & intended use
-**MedPod GP is a clinical decision-support and documentation aid intended for use
-by qualified healthcare professionals. It is NOT a medical device and has not been
-cleared or approved by any medical-device regulator (e.g. TGA, FDA, CE/MDR).**
-- It does **not** diagnose, treat, cure, or prevent any disease or condition.
-- It does **not** replace the clinical judgement of a qualified clinician.
-- **All AI-generated output — transcripts, chat responses, image findings, note
-  drafts, and search results — must be reviewed, corrected, and verified by a
-  qualified clinician before any clinical use or entry into a patient record.**
-- The responsible clinician remains accountable for all clinical decisions and
-  documentation.
-- Do not rely on MedPod GP in emergencies or as a sole source of clinical
-  information.
----
-## 📜 License
-MedPod GP is **proprietary software distributed free of charge** © 2026 CloudKites
-Pty Ltd (CloudKites AI Lab), ABN 91 633 195 874. It is provided in compiled
-(binary) form for Windows.
-- ✅ **Free to use** — for qualified clinicians and healthcare settings, on any
-  number of devices.
-- ✅ **Free to redistribute** — you may share the **complete, unmodified** official
-  installer, free of charge, with all notices intact.
-- ❌ **No selling / no paid bundling**, no modification, no reverse-engineering.
-- The source code of MedPod GP and its **Numbat** ML toolkit is confidential and
-  is not distributed.
-Full terms:
-[`LICENSE.md`](https://huggingface.co/cloudkites/medpodgp/resolve/main/LICENSE.md).
-"MedPod GP", "Numbat", and "CloudKites" are trademarks of CloudKites Pty Ltd.
-Bundled AI models remain under their own licenses — see
-[`THIRD_PARTY_LICENSES.md`](https://huggingface.co/cloudkites/medpodgp/resolve/main/THIRD_PARTY_LICENSES.md).
-Use of the MedGemma / Gemma models is additionally subject to the **Gemma Terms of
-Use** and Prohibited Use Policy.
-> **Note on models.** The AI models are provided as separate **code-signed Windows
-> model installers** on this page (see **Installation → Step 2**). Each bundled
-> model remains under its own license — use of the MedGemma / Gemma models is
-> subject to the **Gemma Terms of Use** and Prohibited Use Policy.
----
-## ⚠️ AI output notice
-MedPod GP uses generative AI models. Output may be inaccurate, incomplete, or
-fabricated ("hallucinated") even when it appears confident, and is **not** a
-substitute for professional clinical judgement. **A qualified clinician must
-verify every output before use.**
----
-Contact: **contact@cloudkites.com** · **cloudkites.com**

+---
+license: other
+license_name: medpodgp-eula
+license_link: LICENSE.md
+language:
+- en
+tags:
+- medical
+- clinical
+- healthcare
+- on-device
+- local-ai
+- speech-to-text
+- desktop-app
+pretty_name: MedPod GP — On-Device Medical AI Assistant
+---
+# MedPod GP — On-Device Medical AI Assistant
+**MedPod GP** is a **desktop medical AI assistant** for clinicians and general
+practitioners that runs **entirely on your own computer**. Dictate and transcribe
+clinical encounters, chat with a medical language model, analyse medical images,
+search trusted reference packs, and draft structured EMR-ready notes — all
+**on-device**, with **no cloud account, no telemetry, and no network calls for
+inference**.
+A product of **CloudKites AI Lab (CloudKites Pty Ltd)**, Sydney, Australia.
+> 💚 **Free to download, use, and share.** MedPod GP is distributed **free of
+> charge**. You may use it and **redistribute the complete, unmodified official
+> installer** for free (no selling, no paid bundling). See **License** below.
+> ⚕️ **Clinical decision-support / documentation aid — not a medical device.**
+> MedPod GP does not diagnose, treat, or replace professional medical judgement.
+> All AI output must be reviewed and verified by a qualified clinician. See the
+> **Medical disclaimer & intended use** section below.
+---
+## ⬇️ Installation (Windows)
+MedPod GP installs in **two steps**: first the **application**, then the **AI
+models** it runs. Both are downloaded from this page. **You must complete both
+steps** — the app needs its models installed before its AI features will work.
+### Step 1 — Install the MedPod GP app
+Download **one** build and run the installer:
+| Build | For | Installer |
+|---|---|---|
+| **GPU (CUDA)** | NVIDIA GPU (Compute Capability ≥ 7.0) — fastest; bundles the CUDA 13.2 + cuDNN 9 runtime | [**MedpodInstaller-1.3.0-cuda.exe**](https://huggingface.co/cloudkites/medpodgp/resolve/main/MedpodInstaller-1.3.0-cuda.exe) |
+| **CPU** | Any 64-bit Windows PC with **AVX2** (Intel Haswell 2013+ / AMD 2015+) | [**MedpodInstaller-1.3.0-cpu.exe**](https://huggingface.co/cloudkites/medpodgp/resolve/main/MedpodInstaller-1.3.0-cpu.exe) |
+The installers are **code-signed** (Microsoft Azure Trusted Signing) and
+self-contained — the GPU build bundles the NVIDIA CUDA/cuDNN runtime, so there is
+nothing else to install for the app itself.
+> **Optimized CPU build (advanced).** An Intel "Raptor Lake" build —
+> [**MedpodInstaller-1.3.0-cpu-raptorlake.exe**](https://huggingface.co/cloudkites/medpodgp/resolve/main/MedpodInstaller-1.3.0-cpu-raptorlake.exe)
+> — is also available. It is tuned for **Intel 13th/14th-gen Core (i5/i7/i9)** and
+> adds **AVX-VNNI** for faster prompt processing and image analysis. **Only install
+> it on an Intel 12th/13th/14th-gen Core CPU** — it will not run on older
+> processors or most AMD CPUs; use the standard **CPU** build above instead.
+### Step 2 — Install the AI models
+**After installing the app**, download and run the **model installers** below. Each
+is a **code-signed Windows installer (`.exe`)** that places its AI model into
+MedPod GP's local models folder. Install the models for the features you want:
+| Model installer | Powers | Required? | Size |
+|---|---|---|---|
+| [**MedpodModels-medgemma.exe**](https://huggingface.co/cloudkites/medpodgp/resolve/main/MedpodModels-medgemma.exe) | **MedText** (medical chat), **MedVision** (image analysis), and AI note generation — MedGemma 1.5 | **Required** (core) | ~3.0 GB |
+| [**MedpodModels-asr.exe**](https://huggingface.co/cloudkites/medpodgp/resolve/main/MedpodModels-asr.exe) | **MedAudio** voice transcription — Qwen3-ASR | Required for transcription | ~1.4 GB |
+| [**MedpodModels-summariser.exe**](https://huggingface.co/cloudkites/medpodgp/resolve/main/MedpodModels-summariser.exe) | Auto-summarising long inputs before chat — Qwen3.5 summariser | Recommended | ~540 MB |
+> **Which models do I need?** At minimum install **MedpodModels-medgemma.exe** so
+> **MedText**, **MedVision**, and AI note generation work. Add
+> **MedpodModels-asr.exe** to use **MedAudio** voice transcription, and
+> **MedpodModels-summariser.exe** (recommended) so long notes and transcripts are
+> condensed before the chat model reads them. For the full experience, install all
+> three. **MedSearch** reference search works on its own — it needs no AI model.
+Once the app and at least the MedGemma model are installed, launch **MedPod GP** —
+it detects the installed models automatically and you can start working.
+**Documentation:**
+[User Guide (PDF)](https://huggingface.co/cloudkites/medpodgp/resolve/main/USER_GUIDE.pdf) ·
+[Product Information (PDF)](https://huggingface.co/cloudkites/medpodgp/resolve/main/PRODUCT_INFORMATION.pdf) ·
+[License](https://huggingface.co/cloudkites/medpodgp/resolve/main/LICENSE.md)
+---
+## ✨ Features
+MedPod GP combines five clinical capabilities in one private, offline workspace:
+- **🎤 MedAudio — clinical transcription.** Record a consultation live (with a
+  real-time audio spectrogram) and transcribe it on-device with **Qwen3-ASR
+  0.6B**, then run clinical actions on the transcript.
+- **💬 MedText — medical chat.** Ask clinical questions of a hot-swappable medical
+  language model: **MedGemma 1.5 4B**, **Qwen3.5 4B**, or **Qwen3.5 2B**. Long
+  inputs are auto-summarised before the model reads them.
+- **🩻 MedVision — medical image analysis.** Upload a medical image and analyse it
+  with the **MedGemma 1.5** vision pipeline, with structured prompts for around
+  **10 imaging types**.
+- **🔎 MedSearch — reference search.** Fast full-text search over bundled medical
+  reference packs (eTG, AMH, foundation) — answers in milliseconds, fully offline.
+- **📝 Medical Note Drafting.** A cross-tab panel that captures content from any
+  tab into a structured clinical note and generates an **EMR-formatted final
+  note**, with **Markdown / PDF export**.
+- **100% private & offline.** Every model runs on your CPU or NVIDIA GPU; nothing
+  leaves your device. No account, no telemetry.
+---
+## 💻 Which build for my computer?
+| Your PC | Recommended build | Notes |
+|---|---|---|
+| Has an NVIDIA GPU (Compute Capability ≥ 7.0) | **GPU (CUDA)** | Fastest transcription, chat, and image analysis. Bundles CUDA/cuDNN — nothing extra to install |
+| CPU-only, modern processor with **AVX2** (≈ 2014 onward), 16 GB+ RAM | **CPU** | Runs every feature; large models and image analysis are slower |
+If you are unsure whether your processor supports AVX2, the **CPU** build runs on
+essentially every Windows PC built since about 2014. Choose the **GPU (CUDA)**
+build whenever you have a supported NVIDIA graphics card.
+---
+## ⚕️ Medical disclaimer & intended use
+**MedPod GP is a clinical decision-support and documentation aid intended for use
+by qualified healthcare professionals. It is NOT a medical device and has not been
+cleared or approved by any medical-device regulator (e.g. TGA, FDA, CE/MDR).**
+- It does **not** diagnose, treat, cure, or prevent any disease or condition.
+- It does **not** replace the clinical judgement of a qualified clinician.
+- **All AI-generated output — transcripts, chat responses, image findings, note
+  drafts, and search results — must be reviewed, corrected, and verified by a
+  qualified clinician before any clinical use or entry into a patient record.**
+- The responsible clinician remains accountable for all clinical decisions and
+  documentation.
+- Do not rely on MedPod GP in emergencies or as a sole source of clinical
+  information.
+---
+## 📜 License
+MedPod GP is **proprietary software distributed free of charge** © 2026 CloudKites
+Pty Ltd (CloudKites AI Lab), ABN 91 633 195 874. It is provided in compiled
+(binary) form for Windows.
+- ✅ **Free to use** — for qualified clinicians and healthcare settings, on any
+  number of devices.
+- ✅ **Free to redistribute** — you may share the **complete, unmodified** official
+  installer, free of charge, with all notices intact.
+- ❌ **No selling / no paid bundling**, no modification, no reverse-engineering.
+- The source code of MedPod GP and its **Numbat** ML toolkit is confidential and
+  is not distributed.
+Full terms:
+[`LICENSE.md`](https://huggingface.co/cloudkites/medpodgp/resolve/main/LICENSE.md).
+"MedPod GP", "Numbat", and "CloudKites" are trademarks of CloudKites Pty Ltd.
+Bundled AI models remain under their own licenses — see
+[`THIRD_PARTY_LICENSES.md`](https://huggingface.co/cloudkites/medpodgp/resolve/main/THIRD_PARTY_LICENSES.md).
+Use of the MedGemma / Gemma models is additionally subject to the **Gemma Terms of
+Use** and Prohibited Use Policy.
+> **Note on models.** The AI models are provided as separate **code-signed Windows
+> model installers** on this page (see **Installation → Step 2**). Each bundled
+> model remains under its own license — use of the MedGemma / Gemma models is
+> subject to the **Gemma Terms of Use** and Prohibited Use Policy.
+---
+## ⚠️ AI output notice
+MedPod GP uses generative AI models. Output may be inaccurate, incomplete, or
+fabricated ("hallucinated") even when it appears confident, and is **not** a
+substitute for professional clinical judgement. **A qualified clinician must
+verify every output before use.**
+---
+Contact: **contact@cloudkites.com** · **cloudkites.com**