talkie-1930-13b-it-hf-transformers
Released by Abstract4700 in 2026, talkie-1930-13b-it-hf-transformers is a 13 billion parameter chat model. talkie-1930-13b-it-hf-transformers is an open-weights chat model with roughly 13 billion parameters.
by Abstract4700 · 13B parameters
Best for
Ways to use talkie-1930-13b-it-hf-transformers in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Abstract4700 API key. osFoundry discovers talkie-1930-13b-it-hf-transformers 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
talkie-1930-13b-it-hf-transformers 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 talkie-1930-13b-it-hf-transformers
talkie-1930-13b-it-hf-transformers runs on a single 16GB consumer GPU (~8 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~32 GB).
talkie-1930-13b-it-hf-transformers vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about talkie-1930-13b-it-hf-transformers
Is talkie-1930-13b-it-hf-transformers free to use?
talkie-1930-13b-it-hf-transformers 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 talkie-1930-13b-it-hf-transformers 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 talkie-1930-13b-it-hf-transformers need?
Approximately 8 GB at Q4 quantisation, or 32 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run talkie-1930-13b-it-hf-transformers locally?
Yes. talkie-1930-13b-it-hf-transformers is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is talkie-1930-13b-it-hf-transformers best at?
talkie-1930-13b-it-hf-transformers is well-suited to text generation.
How do I use talkie-1930-13b-it-hf-transformers in osFoundry?
Paste your Abstract4700 API key in the key dialog (or deploy the open weights for self-hostable models), assign talkie-1930-13b-it-hf-transformers to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Abstract4700 on April 28, 2026. Source: https://huggingface.co/Abstract4700/talkie-1930-13b-it-hf-transformers