Sailor2-8b-Chat-SFT-SEA
daniazie's Sailor2-8b-Chat-SFT-SEA packs 8 billion parameters into a chat model. Sailor2-8b-Chat-SFT-SEA is an open-weights chat model with roughly 8 billion parameters.
by daniazie · 8B parameters
Best for
Ways to use Sailor2-8b-Chat-SFT-SEA in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your daniazie API key. osFoundry discovers Sailor2-8b-Chat-SFT-SEA 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
Sailor2-8b-Chat-SFT-SEA 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 Sailor2-8b-Chat-SFT-SEA
Sailor2-8b-Chat-SFT-SEA 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 (~20 GB).
Sailor2-8b-Chat-SFT-SEA vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Sailor2-8b-Chat-SFT-SEA
Is Sailor2-8b-Chat-SFT-SEA free to use?
Sailor2-8b-Chat-SFT-SEA 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 Sailor2-8b-Chat-SFT-SEA 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 Sailor2-8b-Chat-SFT-SEA need?
Approximately 5 GB at Q4 quantisation, or 20 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Sailor2-8b-Chat-SFT-SEA locally?
Yes. Sailor2-8b-Chat-SFT-SEA is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Sailor2-8b-Chat-SFT-SEA best at?
Sailor2-8b-Chat-SFT-SEA is well-suited to text generation.
How do I use Sailor2-8b-Chat-SFT-SEA in osFoundry?
Paste your daniazie API key in the key dialog (or deploy the open weights for self-hostable models), assign Sailor2-8b-Chat-SFT-SEA to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by daniazie on April 29, 2026. Source: https://huggingface.co/daniazie/Sailor2-8b-Chat-SFT-SEA