Can my Radeon run it? · PRO W7800 · Qwen3.6-35B · llama.cpp

Can PRO W7800 run Qwen3.6-35B?

Fits fully on GPU

PRO W7800 (32 GB) × Qwen3.6-35B. Shopper file is UD-Q5_K_XL at 256K. Calculator verdict: fits fully on gpu. llama.cpp first (Vulkan, then HIP). Q3 is a labeled estimate, not a house pick. Measured decode appears only where a local desktop card already exists. We do not invent a price.

Full requirements at 256K

How we test — Measured cells cite official amdai-bench/run@1 cards. Estimates stay labeled. Q3 is estimate-only. Q1/Q2 stay off.

Q6 / Q5 / Q4 plus a Q3 estimate

Weights are official GGUF listings when the model page has them. Totals include KV at f16. 1-GPU and 2-GPU columns use the same calculator as this share URL.

Qwen3.6-35B on PRO W7800 fit table
Quant Weights 1× 4K1× 32K1× 256K 2× 4K2× 32K2× 256K Speed
Q6_K

Estimate

26.7 GB

Estimate: total_params × 6.56 bpw (nominal GGUF Q6_K; UD-Q6_K_XL uses the same bucket) / 8. Active params do not shrink the file. No listed publisher file size for this quant.

Fits in VRAM (estimate)

27.7 GB

Fits in VRAM (estimate)

28.2 GB

Does not fit this GPU

32.7 GB

Fits in VRAM (estimate)

13.8 GB/GPU

Fits in VRAM (estimate)

14.1 GB/GPU

Fits in VRAM (estimate)

16.3 GB/GPU

not measured yet

No official local desktop cell for this model × card. Empty stays not measured yet.

Contribute · amdai-bench

UD-Q5_K_XL

Estimate

24.8 GB

Hugging Face listing for Qwen3.6-35B-A3B-UD-Q5_K_XL.gguf (26.6 GB)

Fits in VRAM (estimate)

25.7 GB

Fits in VRAM (estimate)

26.2 GB

Tight — little desktop headroom

30.7 GB

Fits in VRAM (estimate)

12.8 GB/GPU

Fits in VRAM (estimate)

13.1 GB/GPU

Fits in VRAM (estimate)

15.3 GB/GPU

not measured yet

No official local desktop cell for this model × card. Empty stays not measured yet.

Contribute · amdai-bench

Q4_K_M

Estimate

19.8 GB

Estimate: total_params × 4.85 bpw (nominal GGUF Q4_K_M) / 8. Active params do not shrink the file. No listed publisher file size for this quant.

Fits in VRAM (estimate)

20.6 GB

Fits in VRAM (estimate)

21.2 GB

Fits in VRAM (estimate)

25.6 GB

Fits in VRAM (estimate)

10.3 GB/GPU

Fits in VRAM (estimate)

10.6 GB/GPU

Fits in VRAM (estimate)

12.8 GB/GPU

not measured yet

No official local desktop cell for this model × card. Empty stays not measured yet.

Contribute · amdai-bench

UD-Q3_K_XL

Q3 estimate

15.6 GB

Hugging Face listing for Qwen3.6-35B-A3B-UD-Q3_K_XL.gguf (16.8 GB)

Fits in VRAM (estimate)

16.4 GB

Fits in VRAM (estimate)

17.0 GB

Fits in VRAM (estimate)

21.4 GB

Fits in VRAM (estimate)

8.21 GB/GPU

Fits in VRAM (estimate)

8.49 GB/GPU

Fits in VRAM (estimate)

10.7 GB/GPU

not measured yet

UD-Q3_K_XL is a labeled estimate — not a local desktop run.

Contribute · amdai-bench

System RAM

When the file does not stay in 32 GB VRAM, the spill is system RAM. Shopper lines stay Minimum system RAM needed and RAM needed at full context for UD-Q5_K_XL on this card. Estimate unless a measured R9700 card overlays the kit.

Minimum system RAM needed

32 GB kit

Estimate · 24.8 GiB raw · 256K context

RAM needed at full context

32 GB kit

Estimate · 24.8 GiB raw · 256K full context

Estimate. Offloaded weights + KV in RAM + runtime + OS/desktop + headroom, rounded up to a 32 GB DIMM kit.

Breakdown
Offloaded weights ·
0 GiB
Separable embed in RAM ·
0 GiB
KV in RAM at selected ·
0 GiB
KV in RAM at full context ·
0 GiB
Runtime / backend ·
0.85 GiB
OS / desktop baseline ·
8.00 GiB
Headroom ·
16.0 GiB

llama.cpp launch

Vulkan first, then ROCm/HIP. Copy a house recipe when one exists. llama.cpp stays first. Strata / vLLM stay on /backends.

llama.cpp Vulkan

35B llama.cpp Vulkan 262K

House daily-driver recipe. Copy the recipe page for the 262K pin.

# llama.cpp Vulkan. House pin when a recipe exists; otherwise a shape only.
./build-vk/bin/llama-server \
  -m ~/models/Qwen3.6-35B-A3B-UD-Q5_K_XL.gguf \
  -ngl 99 \
  -c 262144 \
  --cache-type-k f16 \
  --cache-type-v f16 \
  --host 127.0.0.1 --port 8080

llama.cpp HIP

ROCm / HIP after rocminfo

HIP decode is not measured yet. Confirm gfx with rocminfo first.

# HIP shape only — house 35B cards are Vulkan. HIP decode is not measured yet.
./build-hip/bin/llama-server \
  -m ~/models/Qwen3.6-35B-A3B-UD-Q5_K_XL.gguf \
  -ngl 99 \
  -c 262144 \
  --cache-type-k f16 \
  --cache-type-v f16 \
  --host 127.0.0.1 --port 8080

Same model, other cards

Qwen3.6-35B on the other published Radeon sheets.

Other models on PRO W7800

Check price

Existing /go/ routes for this GPU sheet. Buttons say Check price — we do not print a figure.

Check price · no live or invented prices

Radeon PRO W7800

32 GB workstation listing. AMD also lists a separate 48 GB W7800 SKU. No live or invented price.

Return terms vary by seller and item. Newegg's Hassle-Free page covers only Sold-and-Shipped-by-Newegg listings; marketplace items use the seller's policy. See the listing's Warranty & Returns tab.

As an Amazon Associate I earn from qualifying purchases. Some Newegg links use Rakuten Advertising and some B&H links use B&H’s affiliate program when those IDs are configured. Micro Center and AMD Store links are plain “also available at” links — no tracking. Buttons say “Check price” and never invent or live-quote a price. Full disclosure.

FAQ

Can PRO W7800 run Qwen3.6-35B?
Fits fully on GPU on the calculator at the shopper UD-Q5_K_XL file and 256K. Q6 / Q5 / Q4 are listed. UD-Q3_K_XL is a labeled estimate. llama.cpp first.
This pair · PRO W7800 · Qwen3.6-35B · Calculator · Full requirements at 256K
Which quant should I download?
Prefer the shopper UD-Q5_K_XL file when it still fits. Q6 / Q5 / Q4 are the listed shopper steps. UD-Q3_K_XL is a labeled estimate — not a house pick. Q1/Q2 stay off.
Quants · Q6 / Q5 / Q4 + Q3 estimate
How fast is it?
Measured decode is only the official local desktop 35B llama.cpp Vulkan sweep on one or two R9700s. Every other model × card stays not measured yet. Record a card with amdai-bench.
Contribute · amdai-bench · Benchmarks

Stack Lab

Measure the pair on your box. Doctor and planner are allowlisted. House daily / Flash profiles appear only for those house models.

Open in Stack Lab

If the app is not installed, packages are not published yet. There is no public download URL. Read the Stack Lab install notes . If Stack Lab is already running on this machine, open the local app .

Open in Stack Lab

If the app is not installed, packages are not published yet. There is no public download URL. Read the Stack Lab install notes . If Stack Lab is already running on this machine, open the local app .

Open in Stack Lab

If the app is not installed, packages are not published yet. There is no public download URL. Read the Stack Lab install notes . If Stack Lab is already running on this machine, open the local app .

Open in Stack Lab

If the app is not installed, packages are not published yet. There is no public download URL. Read the Stack Lab install notes . If Stack Lab is already running on this machine, open the local app .

Also: All pairs · PRO W7800 · Qwen3.6-35B · Official GGUF · Official card · llama.cpp · Speed up llama.cpp · Dual / multi-GPU

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