Estimate — sign in for exact rates.

 Trusted GPU & AI infrastructure since 2015 — Huntsville, AL
Windows

Qwen3.8-27B UD-IQ4_XS on the Radeon RX 7900 XT 20GB (Windows)

Candidate

Vulkan engine option for the RX 7900 XT 20GB on Windows, measured by Bitworks with llama.cpp b10698 (Vulkan), built into FastLLM.

What will be tested

Card1 × AMD Radeon RX 7900 XT 20GB
Operating systemWindows
BackendVulkan
ModelQwen3.8-27B (Apache-2.0)
Model fileUnsloth GGUF conversion, UD-IQ4_XS
Context16,384 tokens
Concurrent requests1 (one request at a time)
PlacementFull GPU
ReviewedNot yet
Sources Upstream model · GGUF file page

Other goals for this card and OS: balanced goal parallel work goal · 2 cards, two workers quality goal · 2 cards, one model split

What to expect

No qualified Bitworks benchmark is published for this recipe. A lab observation is shown below.

Bitworks lab observation (not fully qualified)

Measured by Bitworks on our lab bench with the published methodology. Not fully qualified: residency, peak VRAM, soak and reference-quality gates are not all proven for this run.

Host configuration not confirmed

FastLLM recipe: rx-7900-xt.qwen3.8-27b-ud-iq4-xs.16k
Included in FastLLM Preview 2026.10.21.12 as this card’s fallback setup: FastLLM uses it if the HIP components are not installed or their license is declined.

  • Engine: llama.cpp b10698
  • Backend: Vulkan
  • Context: 16,384 tokens
  • KV cache: f16/f16
  • Slots: 1
  • BAR workaround: off (ReBAR on)

Measured 2026-10-15 · 5 runs per prompt size after 1 warm-up, 128 output tokens, one request at a time, no prefix cache, greedy-seed42

Prompt tokens Prompt processing (tok/s) Generation (tok/s) Time to first text (ms)
512 517.0 (493.4–519.6) 32.5 (31.3–33.3) 1,040 (989–1,261)
4,096 589.6 (586.1–591.0) 31.5 (31.1–31.9) 6,949 (6,933–6,991)

Producer fastllm-benchmark-vnext vnext.3 · result file sha256 04ec4cc2148164ff6c78ab6ff08d5d9e1d78d46ffa4ade86d137b263d2cb9532 · source report sha256 d688282bcfc37f185f737a3088fc699b32dc2ea1822832c9ac98d1fe15ecd3cf

FastLLM self-test on this bench

Result: Passed

33.9 tok/s generation · 532.1 tok/s prompt · 964 ms to first text — 512-token prompt, 2 measured runs after 1 warm-up, server timings

FastLLM runs this quick check before it reports a setup ready. It is a short check, not the benchmark above, so the numbers are not directly comparable.

Host configuration not confirmed

Measured 2026-10-22 with FastLLM Preview 2026.10.21.12

Resizable BAR on this bench

Resizable BAR (Smart Access Memory) is on. No workaround was needed.

Earlier observation (1)

Bitworks lab observation (not fully qualified)

Measured by Bitworks on our lab bench with the published methodology. Not fully qualified: residency, peak VRAM, soak and reference-quality gates are not all proven for this run.

Host configuration not confirmed

FastLLM recipe: rx-7900-xt.qwen3.8-27b-ud-iq4-xs.16k
Included in FastLLM Preview 2026.10.21.12 as this card’s fallback setup: FastLLM uses it if the HIP components are not installed or their license is declined.

  • Engine: llama.cpp b10698
  • Backend: Vulkan
  • Context: 16,384 tokens
  • KV cache: f16/f16
  • Slots: 1
  • BAR workaround: off (ReBAR on)

Measured 2026-10-07 · 5 runs per prompt size after 1 warm-up, 128 output tokens, one request at a time, no prefix cache, greedy-seed42

Prompt tokens Prompt processing (tok/s) Generation (tok/s) Time to first text (ms)
512 507.0 (501.8–511.2) 32.7 (32.0–33.2) 1,012 (1,004–1,338)
4,096 590.4 (585.1–592.7) 31.8 (31.6–32.9) 6,940 (6,919–7,002)

Producer fastllm-benchmark-vnext vnext.2 · result file sha256 e1e6edc186bfb780401e68445201be6d8aaef6bc6e04df7fc421afc594c51297 · source report sha256 d5a572d51fa09bd8bda257f0b9b2bee79773afd64ec1fee0973a2af880639bf4

Download FastLLM Preview 2026.10.21.12

FastLLM Preview 2026.10.21.12 is a signed Windows release for AMD Radeon graphics (a full release on GitHub, not a pre-release). It currently sets up the AMD Radeon RX 7900 XT 20GB. It is not a qualified release, and its recipes remain candidates.

Get FastLLM Preview 2026.10.21.12 on GitHub

On the release page, download FastLLM-Setup-2026.10.21.12.exe. The publisher shows as Bitworks LLC.
SHA-256 f96916b08caf5b06ecef51a688eac65621a925a2f566625aa86328a90182eb95

Test results for this release →

  • Microsoft Edge may say the file isn’t commonly downloaded while the publisher builds reputation.
  • Once installed, FastLLM shows an update banner when a newer version is available.

Overview

This is the Vulkan variant for the Radeon RX 7900 XT 20GB on Windows. It uses the pinned Qwen3.8-27B UD-IQ4_XS weights from Unsloth (a third-party GGUF conversion of the Qwen upstream weights), at the context size and concurrency listed on this page. The engine is llama.cpp b10698 using Vulkan, built into FastLLM.

Bitworks has measured this setup on the Radeon RX 7900 XT 20GB with that engine. The measured results, and the Resizable BAR workaround, are described with the observation on this page. It is a lab observation, not a qualification, and the recipe itself stays a candidate.

Requirements

Use a standard-user 64-bit Windows 11 system with an AMD driver exposing Vulkan and the Microsoft Visual C++ x64 runtime. Driver installation is separate from FastLLM. 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.

The pinned GGUF is 14,252,845,984 bytes (14.25 GB decimal). Keep more free local SSD space than the artifact itself for verified acquisition and cache maintenance. Review the exact model license before acquisition.

Limitations

  • Measured by Bitworks on this card with llama.cpp b10698 (Vulkan), built into FastLLM. The observation shown on this page is a lab observation, not a qualification of this setup.
  • AMD driver and Microsoft Visual C++ runtime setup remain separate from FastLLM; no consumer installer is released.
  • This setup requests full-GPU placement; that is not a verified physical-residency or all-operations-on-GPU claim.

Bitworks listings for this card