llama-3-awq-4-bit
Built by aryamannningombam, llama-3-awq-4-bit is an chat model. llama-3-awq-4-bit is an open-weights chat model.
by aryamannningombam
Best for
Ways to use llama-3-awq-4-bit in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your aryamannningombam API key. osFoundry discovers llama-3-awq-4-bit 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
llama-3-awq-4-bit 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.
llama-3-awq-4-bit vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about llama-3-awq-4-bit
Is llama-3-awq-4-bit free to use?
llama-3-awq-4-bit 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 llama-3-awq-4-bit 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 llama-3-awq-4-bit locally?
Yes. llama-3-awq-4-bit is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is llama-3-awq-4-bit best at?
llama-3-awq-4-bit is well-suited to text generation.
How do I use llama-3-awq-4-bit in osFoundry?
Paste your aryamannningombam API key in the key dialog (or deploy the open weights for self-hostable models), assign llama-3-awq-4-bit to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by aryamannningombam on July 17, 2024. Source: https://huggingface.co/aryamannningombam/llama-3-awq-4-bit