Deepseek_r1_distill_qwen-7b_int4_awq
Built by AngelSlim, Deepseek_r1_distill_qwen-7b_int4_awq is an chat model. Deepseek_r1_distill_qwen-7b_int4_awq is an open-weights chat model.
by AngelSlim
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use Deepseek_r1_distill_qwen-7b_int4_awq in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your AngelSlim API key. osFoundry discovers Deepseek_r1_distill_qwen-7b_int4_awq 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
Deepseek_r1_distill_qwen-7b_int4_awq 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.
Deepseek_r1_distill_qwen-7b_int4_awq vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Deepseek_r1_distill_qwen-7b_int4_awq
Is Deepseek_r1_distill_qwen-7b_int4_awq free to use?
Deepseek_r1_distill_qwen-7b_int4_awq 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 Deepseek_r1_distill_qwen-7b_int4_awq 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 Deepseek_r1_distill_qwen-7b_int4_awq locally?
Yes. Deepseek_r1_distill_qwen-7b_int4_awq is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Deepseek_r1_distill_qwen-7b_int4_awq best at?
Deepseek_r1_distill_qwen-7b_int4_awq is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use Deepseek_r1_distill_qwen-7b_int4_awq in osFoundry?
Paste your AngelSlim API key in the key dialog (or deploy the open weights for self-hostable models), assign Deepseek_r1_distill_qwen-7b_int4_awq to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by AngelSlim on July 3, 2025. Source: https://huggingface.co/AngelSlim/Deepseek_r1_distill_qwen-7b_int4_awq