qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking
qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking is a chat model from jayzou3773, released April 28, 2026. qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking is an open-weights chat model.
by jayzou3773
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your jayzou3773 API key. osFoundry discovers qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking 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-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking 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.
qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking | jayzou3773 | — | — | Free (local) | Yes |
| b-b6_t3y | bilabila | — | — | Free (local) | Yes |
| baby_mistral_hf_16384_0_4_64 | klein9692 | — | — | Free (local) | Yes |
| kosmo-TEST-ONNX | aixk | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking
Is qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking free to use?
qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking 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-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking locally?
Yes. qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking best at?
qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking in osFoundry?
Paste your jayzou3773 API key in the key dialog (or deploy the open weights for self-hostable models), assign qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by jayzou3773 on April 28, 2026. Source: https://huggingface.co/jayzou3773/qwen3-moe-expert_drop-pure_gradient_pruning-r64-s1k-128samples-thinking