ShizhenGPT-7B-LLM
Built by FreedomIntelligence, ShizhenGPT-7B-LLM is a 7 billion parameter chat model. ShizhenGPT-7B-LLM is an open-weights chat model with roughly 7 billion parameters.
by FreedomIntelligence · 7B parameters
Best for
Ways to use ShizhenGPT-7B-LLM in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your FreedomIntelligence API key. osFoundry discovers ShizhenGPT-7B-LLM 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
ShizhenGPT-7B-LLM 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 ShizhenGPT-7B-LLM
ShizhenGPT-7B-LLM 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 (~17 GB).
ShizhenGPT-7B-LLM vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about ShizhenGPT-7B-LLM
Is ShizhenGPT-7B-LLM free to use?
ShizhenGPT-7B-LLM 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 ShizhenGPT-7B-LLM 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 ShizhenGPT-7B-LLM need?
Approximately 5 GB at Q4 quantisation, or 17 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run ShizhenGPT-7B-LLM locally?
Yes. ShizhenGPT-7B-LLM is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is ShizhenGPT-7B-LLM best at?
ShizhenGPT-7B-LLM is well-suited to text generation.
How do I use ShizhenGPT-7B-LLM in osFoundry?
Paste your FreedomIntelligence API key in the key dialog (or deploy the open weights for self-hostable models), assign ShizhenGPT-7B-LLM to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by FreedomIntelligence on August 21, 2025. Source: https://huggingface.co/FreedomIntelligence/ShizhenGPT-7B-LLM