4M_tokenizers_edge_8k_224-512
4M_tokenizers_edge_8k_224-512 is a chat model from EPFL-VILAB, released June 12, 2024. 4M_tokenizers_edge_8k_224-512 is an open-weights chat model.
by EPFL-VILAB
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use 4M_tokenizers_edge_8k_224-512 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your EPFL-VILAB API key. osFoundry discovers 4M_tokenizers_edge_8k_224-512 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
4M_tokenizers_edge_8k_224-512 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.
4M_tokenizers_edge_8k_224-512 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about 4M_tokenizers_edge_8k_224-512
Is 4M_tokenizers_edge_8k_224-512 free to use?
4M_tokenizers_edge_8k_224-512 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 4M_tokenizers_edge_8k_224-512 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 4M_tokenizers_edge_8k_224-512 locally?
Yes. 4M_tokenizers_edge_8k_224-512 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is 4M_tokenizers_edge_8k_224-512 best at?
4M_tokenizers_edge_8k_224-512 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use 4M_tokenizers_edge_8k_224-512 in osFoundry?
Paste your EPFL-VILAB API key in the key dialog (or deploy the open weights for self-hostable models), assign 4M_tokenizers_edge_8k_224-512 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by EPFL-VILAB on June 12, 2024. Source: https://huggingface.co/EPFL-VILAB/4M_tokenizers_edge_8k_224-512