SWE-agent-LM-32B
Released by SWE-bench in 2025, SWE-agent-LM-32B is a 32 billion parameter chat model. SWE-agent-LM-32B is an open-weights chat model with roughly 32 billion parameters.
by SWE-bench · 32B parameters
Best for
Ways to use SWE-agent-LM-32B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your SWE-bench API key. osFoundry discovers SWE-agent-LM-32B 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
SWE-agent-LM-32B 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 SWE-agent-LM-32B
SWE-agent-LM-32B runs on a 24GB consumer or workstation GPU (~20 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~77 GB).
SWE-agent-LM-32B vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about SWE-agent-LM-32B
Is SWE-agent-LM-32B free to use?
SWE-agent-LM-32B 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 SWE-agent-LM-32B 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 SWE-agent-LM-32B need?
Approximately 20 GB at Q4 quantisation, or 77 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run SWE-agent-LM-32B locally?
Yes. SWE-agent-LM-32B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is SWE-agent-LM-32B best at?
SWE-agent-LM-32B is well-suited to text generation.
How do I use SWE-agent-LM-32B in osFoundry?
Paste your SWE-bench API key in the key dialog (or deploy the open weights for self-hostable models), assign SWE-agent-LM-32B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by SWE-bench on April 29, 2025. Source: https://huggingface.co/SWE-bench/SWE-agent-LM-32B