clarify-rl-grpo-qwen3-1-7b-run7
clarify-rl-grpo-qwen3-1-7b-run7 is a 7 billion parameter chat model from agarwalanu3103, released April 26, 2026. clarify-rl-grpo-qwen3-1-7b-run7 is an open-weights chat model with roughly 7 billion parameters.
by agarwalanu3103 · 7B parameters
Best for
Ways to use clarify-rl-grpo-qwen3-1-7b-run7 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your agarwalanu3103 API key. osFoundry discovers clarify-rl-grpo-qwen3-1-7b-run7 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
clarify-rl-grpo-qwen3-1-7b-run7 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 clarify-rl-grpo-qwen3-1-7b-run7
clarify-rl-grpo-qwen3-1-7b-run7 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 (~17 GB).
clarify-rl-grpo-qwen3-1-7b-run7 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about clarify-rl-grpo-qwen3-1-7b-run7
Is clarify-rl-grpo-qwen3-1-7b-run7 free to use?
clarify-rl-grpo-qwen3-1-7b-run7 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 clarify-rl-grpo-qwen3-1-7b-run7 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 clarify-rl-grpo-qwen3-1-7b-run7 need?
Approximately 5 GB at Q4 quantisation, or 17 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run clarify-rl-grpo-qwen3-1-7b-run7 locally?
Yes. clarify-rl-grpo-qwen3-1-7b-run7 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is clarify-rl-grpo-qwen3-1-7b-run7 best at?
clarify-rl-grpo-qwen3-1-7b-run7 is well-suited to text generation.
How do I use clarify-rl-grpo-qwen3-1-7b-run7 in osFoundry?
Paste your agarwalanu3103 API key in the key dialog (or deploy the open weights for self-hostable models), assign clarify-rl-grpo-qwen3-1-7b-run7 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by agarwalanu3103 on April 26, 2026. Source: https://huggingface.co/agarwalanu3103/clarify-rl-grpo-qwen3-1-7b-run7