Assistant_Pepe_8B
Released by SicariusSicariiStuff in 2026, Assistant_Pepe_8B is a 8 billion parameter chat model. Assistant_Pepe_8B is an open-weights chat model with roughly 8 billion parameters.
by SicariusSicariiStuff · 8B parameters
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use Assistant_Pepe_8B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your SicariusSicariiStuff API key. osFoundry discovers Assistant_Pepe_8B 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
Assistant_Pepe_8B 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 Assistant_Pepe_8B
Assistant_Pepe_8B runs on a single 16GB consumer GPU (~5 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~20 GB).
Assistant_Pepe_8B vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Assistant_Pepe_8B
Is Assistant_Pepe_8B free to use?
Assistant_Pepe_8B 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 Assistant_Pepe_8B 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 Assistant_Pepe_8B need?
Approximately 5 GB at Q4 quantisation, or 20 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Assistant_Pepe_8B locally?
Yes. Assistant_Pepe_8B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Assistant_Pepe_8B best at?
Assistant_Pepe_8B is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use Assistant_Pepe_8B in osFoundry?
Paste your SicariusSicariiStuff API key in the key dialog (or deploy the open weights for self-hostable models), assign Assistant_Pepe_8B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by SicariusSicariiStuff on January 14, 2026. Source: https://huggingface.co/SicariusSicariiStuff/Assistant_Pepe_8B