sarvam-m_fp4
sarvam-m_fp4 (ayush7, 2025) is an chat model. sarvam-m_fp4 is an open-weights chat model.
by ayush7
Best for
Ways to use sarvam-m_fp4 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ayush7 API key. osFoundry discovers sarvam-m_fp4 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
sarvam-m_fp4 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.
sarvam-m_fp4 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about sarvam-m_fp4
Is sarvam-m_fp4 free to use?
sarvam-m_fp4 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 sarvam-m_fp4 commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run sarvam-m_fp4 locally?
Yes. sarvam-m_fp4 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is sarvam-m_fp4 best at?
sarvam-m_fp4 is well-suited to text generation.
How do I use sarvam-m_fp4 in osFoundry?
Paste your ayush7 API key in the key dialog (or deploy the open weights for self-hostable models), assign sarvam-m_fp4 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ayush7 on May 24, 2025. Source: https://huggingface.co/ayush7/sarvam-m_fp4