Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel
Built by ritvik77, Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel is a 7 billion parameter chat model. Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel is an open-weights chat model with roughly 7 billion parameters.
by ritvik77 · 7B parameters
Best for
Ways to use Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ritvik77 API key. osFoundry discovers Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
What hardware can run Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel
Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel runs on a single 16GB consumer GPU (~5 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~17 GB).
Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel
Is Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel free to use?
Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel need?
Approximately 5 GB at Q4 quantisation, or 17 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel locally?
Yes. Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel best at?
Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel is well-suited to text generation.
How do I use Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel in osFoundry?
Paste your ritvik77 API key in the key dialog (or deploy the open weights for self-hostable models), assign Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ritvik77 on March 10, 2025. Source: https://huggingface.co/ritvik77/Medical_Doctor_AI_LoRA-Mistral-7B-Instruct_FullModel