Behemoth-X-123B-v2.1-FP8-Dynamic
Released by sh0ck0r in 2025, Behemoth-X-123B-v2.1-FP8-Dynamic is a 123 billion parameter chat model. Behemoth-X-123B-v2.1-FP8-Dynamic is an open-weights chat model with roughly 123 billion parameters.
by sh0ck0r · 123B parameters
Best for
Ways to use Behemoth-X-123B-v2.1-FP8-Dynamic in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your sh0ck0r API key. osFoundry discovers Behemoth-X-123B-v2.1-FP8-Dynamic 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
Behemoth-X-123B-v2.1-FP8-Dynamic 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 Behemoth-X-123B-v2.1-FP8-Dynamic
Behemoth-X-123B-v2.1-FP8-Dynamic 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 (~296 GB).
Behemoth-X-123B-v2.1-FP8-Dynamic vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Behemoth-X-123B-v2.1-FP8-Dynamic
Is Behemoth-X-123B-v2.1-FP8-Dynamic free to use?
Behemoth-X-123B-v2.1-FP8-Dynamic 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 Behemoth-X-123B-v2.1-FP8-Dynamic 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 Behemoth-X-123B-v2.1-FP8-Dynamic need?
Approximately 74 GB at Q4 quantisation, or 296 GB at full FP16 precision. Fits on a single A100/H100 80GB.
Can I run Behemoth-X-123B-v2.1-FP8-Dynamic locally?
Yes. Behemoth-X-123B-v2.1-FP8-Dynamic is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Behemoth-X-123B-v2.1-FP8-Dynamic best at?
Behemoth-X-123B-v2.1-FP8-Dynamic is well-suited to text generation.
How do I use Behemoth-X-123B-v2.1-FP8-Dynamic in osFoundry?
Paste your sh0ck0r API key in the key dialog (or deploy the open weights for self-hostable models), assign Behemoth-X-123B-v2.1-FP8-Dynamic to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by sh0ck0r on December 21, 2025. Source: https://huggingface.co/sh0ck0r/Behemoth-X-123B-v2.1-FP8-Dynamic