One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1
Released by ypwang61 in 2025, One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 is a 2 billion parameter chat model. One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 is an open-weights chat model with roughly 2 billion parameters.
by ypwang61 · 2B parameters
Best for
Ways to use One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ypwang61 API key. osFoundry discovers One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 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
One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 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 One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1
One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 runs on a single 16GB consumer GPU (~2 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~5 GB).
One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1
Is One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 free to use?
One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 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 One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 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 One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 need?
Approximately 2 GB at Q4 quantisation, or 5 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 locally?
Yes. One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 best at?
One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 is well-suited to text generation.
How do I use One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 in osFoundry?
Paste your ypwang61 API key in the key dialog (or deploy the open weights for self-hostable models), assign One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ypwang61 on May 17, 2025. Source: https://huggingface.co/ypwang61/One-Shot-RLVR-Qwen2.5-Math-1.5B-pi1