DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit
DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit (BlueMoonlight, 2026) is a 14 billion parameter chat model. DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit is an open-weights chat model with roughly 14 billion parameters.
by BlueMoonlight · 14B parameters
Best for
Ways to use DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your BlueMoonlight API key. osFoundry discovers DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit 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
DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit 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 DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit
DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit 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).
DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit
Is DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit free to use?
DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit 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 DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit 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 DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit need?
Approximately 9 GB at Q4 quantisation, or 34 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit locally?
Yes. DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit best at?
DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit is well-suited to text generation.
How do I use DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit in osFoundry?
Paste your BlueMoonlight API key in the key dialog (or deploy the open weights for self-hostable models), assign DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by BlueMoonlight on February 1, 2026. Source: https://huggingface.co/BlueMoonlight/DeepSeek-R1-Distill-Qwen-14B-mlx-5Bit