llama3-math-merged4-Q4_K_M-GGUF
Released by Zainb114 in 2026, llama3-math-merged4-Q4_K_M-GGUF is an chat model. llama3-math-merged4-Q4_K_M-GGUF is an open-weights chat model.
by Zainb114
Best for
Ways to use llama3-math-merged4-Q4_K_M-GGUF in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Zainb114 API key. osFoundry discovers llama3-math-merged4-Q4_K_M-GGUF 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
llama3-math-merged4-Q4_K_M-GGUF 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.
llama3-math-merged4-Q4_K_M-GGUF vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| llama3-math-merged4-Q4_K_M-GGUF | Zainb114 | — | — | Free (local) | Yes |
| DeepSeek-V4-Pro | LittleDesignSolution | — | — | Free (local) | Yes |
| vmbft09 | halen214 | — | — | Free (local) | Yes |
| talkie_converted | wave-on-discord | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about llama3-math-merged4-Q4_K_M-GGUF
Is llama3-math-merged4-Q4_K_M-GGUF free to use?
llama3-math-merged4-Q4_K_M-GGUF 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 llama3-math-merged4-Q4_K_M-GGUF commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run llama3-math-merged4-Q4_K_M-GGUF locally?
Yes. llama3-math-merged4-Q4_K_M-GGUF is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is llama3-math-merged4-Q4_K_M-GGUF best at?
llama3-math-merged4-Q4_K_M-GGUF is well-suited to text generation.
How do I use llama3-math-merged4-Q4_K_M-GGUF in osFoundry?
Paste your Zainb114 API key in the key dialog (or deploy the open weights for self-hostable models), assign llama3-math-merged4-Q4_K_M-GGUF to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Zainb114 on April 29, 2026. Source: https://huggingface.co/Zainb114/llama3-math-merged4-Q4_K_M-GGUF