mirxa3.5-122B-A10B
mirxa3.5-122B-A10B is a 122 billion parameter chat model from mirxa2, released March 28, 2026. mirxa3.5-122B-A10B is an open-weights chat model with roughly 122 billion parameters.
by mirxa2 · 122B parameters
Best for
- complex multi-step reasoning
- agent orchestration with tool use
- long-document analysis and summarisation
Ways to use mirxa3.5-122B-A10B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your mirxa2 API key. osFoundry discovers mirxa3.5-122B-A10B 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
mirxa3.5-122B-A10B 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 mirxa3.5-122B-A10B
mirxa3.5-122B-A10B runs on a single A100 80GB or H100 80GB at Q4 quantisation (~74 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~293 GB).
mirxa3.5-122B-A10B vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about mirxa3.5-122B-A10B
Is mirxa3.5-122B-A10B free to use?
mirxa3.5-122B-A10B 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 mirxa3.5-122B-A10B 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 mirxa3.5-122B-A10B need?
Approximately 74 GB at Q4 quantisation, or 293 GB at full FP16 precision. Fits on a single A100/H100 80GB.
Can I run mirxa3.5-122B-A10B locally?
Yes. mirxa3.5-122B-A10B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is mirxa3.5-122B-A10B best at?
mirxa3.5-122B-A10B is well-suited to complex multi-step reasoning, agent orchestration with tool use, long-document analysis and summarisation.
How do I use mirxa3.5-122B-A10B in osFoundry?
Paste your mirxa2 API key in the key dialog (or deploy the open weights for self-hostable models), assign mirxa3.5-122B-A10B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by mirxa2 on March 28, 2026. Source: https://huggingface.co/mirxa2/mirxa3.5-122B-A10B