Impish_QWEN_14B-1M_iMatrix
Built by SicariusSicariiStuff, Impish_QWEN_14B-1M_iMatrix is a 14 billion parameter chat model. Impish_QWEN_14B-1M_iMatrix is an open-weights chat model with roughly 14 billion parameters.
by SicariusSicariiStuff · 14B parameters
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use Impish_QWEN_14B-1M_iMatrix in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your SicariusSicariiStuff API key. osFoundry discovers Impish_QWEN_14B-1M_iMatrix 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
Impish_QWEN_14B-1M_iMatrix 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 Impish_QWEN_14B-1M_iMatrix
Impish_QWEN_14B-1M_iMatrix 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).
Impish_QWEN_14B-1M_iMatrix vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Impish_QWEN_14B-1M_iMatrix
Is Impish_QWEN_14B-1M_iMatrix free to use?
Impish_QWEN_14B-1M_iMatrix 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 Impish_QWEN_14B-1M_iMatrix 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 Impish_QWEN_14B-1M_iMatrix need?
Approximately 9 GB at Q4 quantisation, or 34 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Impish_QWEN_14B-1M_iMatrix locally?
Yes. Impish_QWEN_14B-1M_iMatrix is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Impish_QWEN_14B-1M_iMatrix best at?
Impish_QWEN_14B-1M_iMatrix is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use Impish_QWEN_14B-1M_iMatrix in osFoundry?
Paste your SicariusSicariiStuff API key in the key dialog (or deploy the open weights for self-hostable models), assign Impish_QWEN_14B-1M_iMatrix 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 27, 2025. Source: https://huggingface.co/SicariusSicariiStuff/Impish_QWEN_14B-1M_iMatrix