bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0
Built by LorenaYannnnn, bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 is a 1 billion parameter chat model. bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 is an open-weights chat model with roughly 1 billion parameters.
by LorenaYannnnn · 1B parameters
Best for
Ways to use bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your LorenaYannnnn API key. osFoundry discovers bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 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
bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 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 bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0
bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 runs on a single 16GB consumer GPU (~1 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~3 GB).
bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0
Is bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 free to use?
bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 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 bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 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 bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 need?
Approximately 1 GB at Q4 quantisation, or 3 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 locally?
Yes. bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 best at?
bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 is well-suited to text generation.
How do I use bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 in osFoundry?
Paste your LorenaYannnnn API key in the key dialog (or deploy the open weights for self-hostable models), assign bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by LorenaYannnnn on April 12, 2026. Source: https://huggingface.co/LorenaYannnnn/bold_formatting-Qwen3-0.6B-baseline_all_tokens-seed_0