Vikras-1-to-3b-collection
Vikras-1-to-3b-collection (srs6901, 2026) is a 3 billion parameter chat model. Vikras-1-to-3b-collection is an open-weights chat model with roughly 3 billion parameters.
by srs6901 · 3B parameters
Best for
Ways to use Vikras-1-to-3b-collection in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your srs6901 API key. osFoundry discovers Vikras-1-to-3b-collection 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
Vikras-1-to-3b-collection 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 Vikras-1-to-3b-collection
Vikras-1-to-3b-collection runs on a single 16GB consumer GPU (~2 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~8 GB).
Vikras-1-to-3b-collection vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Vikras-1-to-3b-collection
Is Vikras-1-to-3b-collection free to use?
Vikras-1-to-3b-collection 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 Vikras-1-to-3b-collection 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 Vikras-1-to-3b-collection need?
Approximately 2 GB at Q4 quantisation, or 8 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Vikras-1-to-3b-collection locally?
Yes. Vikras-1-to-3b-collection is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Vikras-1-to-3b-collection best at?
Vikras-1-to-3b-collection is well-suited to text generation.
How do I use Vikras-1-to-3b-collection in osFoundry?
Paste your srs6901 API key in the key dialog (or deploy the open weights for self-hostable models), assign Vikras-1-to-3b-collection to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by srs6901 on February 19, 2026. Source: https://huggingface.co/srs6901/Vikras-1-to-3b-collection