chemllama-170m
Built by yerevann, chemllama-170m is an chat model. chemllama-170m is an open-weights chat model.
by yerevann
Best for
Ways to use chemllama-170m in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your yerevann API key. osFoundry discovers chemllama-170m 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
chemllama-170m 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.
chemllama-170m vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about chemllama-170m
Is chemllama-170m free to use?
chemllama-170m 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 chemllama-170m 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 chemllama-170m locally?
Yes. chemllama-170m is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is chemllama-170m best at?
chemllama-170m is well-suited to text generation.
How do I use chemllama-170m in osFoundry?
Paste your yerevann API key in the key dialog (or deploy the open weights for self-hostable models), assign chemllama-170m to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by yerevann on April 15, 2026. Source: https://huggingface.co/yerevann/chemllama-170m