VisCoT-7b-336
deepcs233's VisCoT-7b-336 packs 7 billion parameters into a chat model. VisCoT-7b-336 is an open-weights chat model with roughly 7 billion parameters.
by deepcs233 · 7B parameters
Best for
Ways to use VisCoT-7b-336 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your deepcs233 API key. osFoundry discovers VisCoT-7b-336 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
VisCoT-7b-336 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 VisCoT-7b-336
VisCoT-7b-336 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).
VisCoT-7b-336 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about VisCoT-7b-336
Is VisCoT-7b-336 free to use?
VisCoT-7b-336 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 VisCoT-7b-336 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 VisCoT-7b-336 need?
Approximately 5 GB at Q4 quantisation, or 17 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run VisCoT-7b-336 locally?
Yes. VisCoT-7b-336 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is VisCoT-7b-336 best at?
VisCoT-7b-336 is well-suited to text generation.
How do I use VisCoT-7b-336 in osFoundry?
Paste your deepcs233 API key in the key dialog (or deploy the open weights for self-hostable models), assign VisCoT-7b-336 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by deepcs233 on March 22, 2024. Source: https://huggingface.co/deepcs233/VisCoT-7b-336