14B-Qwen2.5-Kunou-v1
Built by Sao10K, 14B-Qwen2.5-Kunou-v1 is a 14 billion parameter chat model. 14B-Qwen2.5-Kunou-v1 is an open-weights chat model with roughly 14 billion parameters.
by Sao10K · 14B parameters
Best for
Ways to use 14B-Qwen2.5-Kunou-v1 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Sao10K API key. osFoundry discovers 14B-Qwen2.5-Kunou-v1 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
14B-Qwen2.5-Kunou-v1 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 14B-Qwen2.5-Kunou-v1
14B-Qwen2.5-Kunou-v1 runs on a single 16GB consumer GPU (~9 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~34 GB).
14B-Qwen2.5-Kunou-v1 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about 14B-Qwen2.5-Kunou-v1
Is 14B-Qwen2.5-Kunou-v1 free to use?
14B-Qwen2.5-Kunou-v1 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 14B-Qwen2.5-Kunou-v1 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 14B-Qwen2.5-Kunou-v1 need?
Approximately 9 GB at Q4 quantisation, or 34 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run 14B-Qwen2.5-Kunou-v1 locally?
Yes. 14B-Qwen2.5-Kunou-v1 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is 14B-Qwen2.5-Kunou-v1 best at?
14B-Qwen2.5-Kunou-v1 is well-suited to text generation.
How do I use 14B-Qwen2.5-Kunou-v1 in osFoundry?
Paste your Sao10K API key in the key dialog (or deploy the open weights for self-hostable models), assign 14B-Qwen2.5-Kunou-v1 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Sao10K on December 11, 2024. Source: https://huggingface.co/Sao10K/14B-Qwen2.5-Kunou-v1