tally-qwen-2.5-coder-Q4_K_M-GGUF
Released by anuraagkalvani in 2026, tally-qwen-2.5-coder-Q4_K_M-GGUF is an chat model. tally-qwen-2.5-coder-Q4_K_M-GGUF is an open-weights chat model.
by anuraagkalvani
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use tally-qwen-2.5-coder-Q4_K_M-GGUF in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your anuraagkalvani API key. osFoundry discovers tally-qwen-2.5-coder-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
tally-qwen-2.5-coder-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.
tally-qwen-2.5-coder-Q4_K_M-GGUF vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about tally-qwen-2.5-coder-Q4_K_M-GGUF
Is tally-qwen-2.5-coder-Q4_K_M-GGUF free to use?
tally-qwen-2.5-coder-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 tally-qwen-2.5-coder-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 tally-qwen-2.5-coder-Q4_K_M-GGUF locally?
Yes. tally-qwen-2.5-coder-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 tally-qwen-2.5-coder-Q4_K_M-GGUF best at?
tally-qwen-2.5-coder-Q4_K_M-GGUF is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use tally-qwen-2.5-coder-Q4_K_M-GGUF in osFoundry?
Paste your anuraagkalvani API key in the key dialog (or deploy the open weights for self-hostable models), assign tally-qwen-2.5-coder-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 anuraagkalvani on April 26, 2026. Source: https://huggingface.co/anuraagkalvani/tally-qwen-2.5-coder-Q4_K_M-GGUF