Lily-1.5b-v0.1
Lily-1.5b-v0.1 (abhinav0231, 2026) is a 2 billion parameter chat model. Lily-1.5b-v0.1 is an open-weights chat model with roughly 2 billion parameters.
by abhinav0231 · 2B parameters
Best for
Ways to use Lily-1.5b-v0.1 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your abhinav0231 API key. osFoundry discovers Lily-1.5b-v0.1 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
Lily-1.5b-v0.1 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 Lily-1.5b-v0.1
Lily-1.5b-v0.1 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 (~5 GB).
Lily-1.5b-v0.1 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Lily-1.5b-v0.1
Is Lily-1.5b-v0.1 free to use?
Lily-1.5b-v0.1 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 Lily-1.5b-v0.1 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 Lily-1.5b-v0.1 need?
Approximately 2 GB at Q4 quantisation, or 5 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Lily-1.5b-v0.1 locally?
Yes. Lily-1.5b-v0.1 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Lily-1.5b-v0.1 best at?
Lily-1.5b-v0.1 is well-suited to text generation.
How do I use Lily-1.5b-v0.1 in osFoundry?
Paste your abhinav0231 API key in the key dialog (or deploy the open weights for self-hostable models), assign Lily-1.5b-v0.1 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by abhinav0231 on April 20, 2026. Source: https://huggingface.co/abhinav0231/Lily-1.5b-v0.1