Solar-100B-SFT-v3-slerp-10pct
Solar-100B-SFT-v3-slerp-10pct is a 100 billion parameter chat model from gsjang, released April 9, 2026. Solar-100B-SFT-v3-slerp-10pct is an open-weights chat model with roughly 100 billion parameters.
by gsjang · 100B parameters
Best for
- complex multi-step reasoning
- agent orchestration with tool use
- long-document analysis and summarisation
Ways to use Solar-100B-SFT-v3-slerp-10pct in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your gsjang API key. osFoundry discovers Solar-100B-SFT-v3-slerp-10pct 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
Solar-100B-SFT-v3-slerp-10pct 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 Solar-100B-SFT-v3-slerp-10pct
Solar-100B-SFT-v3-slerp-10pct runs on a single A100 80GB or H100 80GB at Q4 quantisation (~60 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~240 GB).
Solar-100B-SFT-v3-slerp-10pct vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Solar-100B-SFT-v3-slerp-10pct
Is Solar-100B-SFT-v3-slerp-10pct free to use?
Solar-100B-SFT-v3-slerp-10pct 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 Solar-100B-SFT-v3-slerp-10pct 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 Solar-100B-SFT-v3-slerp-10pct need?
Approximately 60 GB at Q4 quantisation, or 240 GB at full FP16 precision. Fits on a single A100/H100 80GB.
Can I run Solar-100B-SFT-v3-slerp-10pct locally?
Yes. Solar-100B-SFT-v3-slerp-10pct is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Solar-100B-SFT-v3-slerp-10pct best at?
Solar-100B-SFT-v3-slerp-10pct is well-suited to complex multi-step reasoning, agent orchestration with tool use, long-document analysis and summarisation.
How do I use Solar-100B-SFT-v3-slerp-10pct in osFoundry?
Paste your gsjang API key in the key dialog (or deploy the open weights for self-hostable models), assign Solar-100B-SFT-v3-slerp-10pct to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by gsjang on April 9, 2026. Source: https://huggingface.co/gsjang/Solar-100B-SFT-v3-slerp-10pct