---
title: Qwen3.8-27B UD-Q6_K_M on the Radeon AI PRO R9700 32GB (Linux)
url: "https://bitworks.io/amd-inference/recipes/radeon-ai-pro-r9700-32gb-linux-qwen3-8-27b-q6km/"
description: Candidate Linux single-card configuration for Radeon AI PRO R9700 32 GB; no published fit or performance result.
---

# Qwen3.8-27B UD-Q6_K_M on the Radeon AI PRO R9700 32GB (Linux)

> Candidate Linux single-card configuration for Radeon AI PRO R9700 32 GB; no published fit or performance result.

Human-readable page: https://bitworks.io/amd-inference/recipes/radeon-ai-pro-r9700-32gb-linux-qwen3-8-27b-q6km/

## Content

- **Status:** In lab testing (candidate)

- **GPU:** 1 × AMD Radeon AI PRO R9700 32GB

- **Operating system:** Linux

- **Backend:** Not yet selected

- **Model:** Qwen3.8-27B UD-Q6_K_M — Unsloth GGUF conversion of Qwen/Qwen3.8-27B (Apache-2.0)

- **Context:** 32768 tokens

- **Concurrency:** 1

- **Placement:** full-gpu

No measured results are published for this recipe.

## Overview

This Linux candidate pairs the Radeon AI PRO R9700 32 GB with the pinned model and quantization named above at the catalog's 32,768-token context. The 32 GB workstation card is paired with a Q6 27B artifact at a 32K catalog context. A separate Q8 candidate exists; whether either profile has adequate free memory and useful response behavior requires exact-card evidence. It is a test plan, not a claim of load, full-GPU placement, answer quality or speed.

## Requirements

The current Linux path is a private, supervised source-checkout workflow for one recognized Vulkan GPU and a loopback server. It requires explicit artifact consent. No physical Linux AMD serving outcome is qualified. Check the card's currently reported free GPU memory, not just the number printed on its box. A longer prompt, more active requests and the desktop can change the memory budget. Keep the exact driver and operating-system build with any later test.

The pinned GGUF is 23,088,409,504 bytes (23.09 GB decimal). Keep more free local SSD space than the artifact itself for verified acquisition and cache maintenance; no fixed extra margin or host-RAM minimum has been qualified. Review the exact model license before acquisition. A planned trial must record the actual free-memory budget, selected device, loaded context, host and GPU buffers, delivered output and representative answers. The catalog context is an intended setting, not a demonstrated maximum.

For agents: how to buy here — https://bitworks.io/checkout.md
