Qwen2-57B-A14B
Released by Qwen in 2024, Qwen2-57B-A14B is a 57 billion parameter chat model. Qwen2-57B-A14B is an open-weights chat model with roughly 57 billion parameters.
by Qwen · 57B parameters
Best for
Ways to use Qwen2-57B-A14B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Qwen API key. osFoundry discovers Qwen2-57B-A14B 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
Qwen2-57B-A14B 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 Qwen2-57B-A14B
Qwen2-57B-A14B runs on a single A100 40GB at Q4 quantisation (~35 GB VRAM with KV-cache headroom). Full-precision inference requires an H200 141GB or 2x A100 80GB at FP16 (~137 GB).
Qwen2-57B-A14B vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Qwen2-57B-A14B
Is Qwen2-57B-A14B free to use?
Qwen2-57B-A14B 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 Qwen2-57B-A14B 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 Qwen2-57B-A14B need?
Approximately 35 GB at Q4 quantisation, or 137 GB at full FP16 precision. Fits on a single A100/H100 80GB.
Can I run Qwen2-57B-A14B locally?
Yes. Qwen2-57B-A14B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qwen2-57B-A14B best at?
Qwen2-57B-A14B is well-suited to text generation.
How do I use Qwen2-57B-A14B in osFoundry?
Paste your Qwen API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwen2-57B-A14B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Qwen on May 22, 2024. Source: https://huggingface.co/Qwen/Qwen2-57B-A14B