Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e
Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e (longtermrisk, 2026) is a 3 billion parameter chat model. Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e is an open-weights chat model with roughly 3 billion parameters.
by longtermrisk · 3B parameters
Best for
Ways to use Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your longtermrisk API key. osFoundry discovers Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e 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-3.2-3B-Instruct-ftjob-b296c0abaa6e 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 Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e
Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e runs on a single 16GB consumer GPU (~2 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~8 GB).
Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e
Is Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e free to use?
Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e 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-3.2-3B-Instruct-ftjob-b296c0abaa6e 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 Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e need?
Approximately 2 GB at Q4 quantisation, or 8 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e locally?
Yes. Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e best at?
Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e is well-suited to text generation.
How do I use Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e in osFoundry?
Paste your longtermrisk API key in the key dialog (or deploy the open weights for self-hostable models), assign Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by longtermrisk on April 15, 2026. Source: https://huggingface.co/longtermrisk/Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e