Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData
Released by LLM-OS-Models in 2026, Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData is a 35 billion parameter chat model. Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData is an open-weights chat model with roughly 35 billion parameters.
by LLM-OS-Models · 35B parameters
Best for
Ways to use Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your LLM-OS-Models API key. osFoundry discovers Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData 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
Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData 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 Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData
Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData runs on a 24GB consumer or workstation GPU (~21 GB VRAM with KV-cache headroom). Full-precision inference requires an H200 141GB or 2x A100 80GB at FP16 (~84 GB).
Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData
Is Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData free to use?
Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData 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 Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData 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 Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData need?
Approximately 21 GB at Q4 quantisation, or 84 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData locally?
Yes. Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData best at?
Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData is well-suited to text generation.
How do I use Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData in osFoundry?
Paste your LLM-OS-Models API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by LLM-OS-Models on April 30, 2026. Source: https://huggingface.co/LLM-OS-Models/Qwen3.6-35B-A3B-Terminal-SFT-2Epoch-HF-FSDP-2BData