Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model
AlicanKiraz0's Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model packs 35 billion parameters into a chat model. Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model is an open-weights chat model with roughly 35 billion parameters.
by AlicanKiraz0 · 35B parameters
Best for
Ways to use Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your AlicanKiraz0 API key. osFoundry discovers Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model 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
Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model 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 Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model
Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model runs on a 24GB consumer or workstation GPU (~21 GB VRAM with KV-cache headroom). Full-precision inference requires an H200 141GB or 2x A100 80GB at FP16 (~84 GB).
Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model
Is Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model free to use?
Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model 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 Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model 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 Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model need?
Approximately 21 GB at Q4 quantisation, or 84 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model locally?
Yes. Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model best at?
Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model is well-suited to text generation.
How do I use Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model in osFoundry?
Paste your AlicanKiraz0 API key in the key dialog (or deploy the open weights for self-hostable models), assign Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by AlicanKiraz0 on May 2, 2026. Source: https://huggingface.co/AlicanKiraz0/Mihenk-LLM-v2-35B-A3B-Turkish-Financial-Model