Can my Radeon run it? · PRO W6800 · Llama 3.3 70B · llama.cpp

Can PRO W6800 run Llama 3.3 70B?

Fits with RAM offload

PRO W6800 (32 GB) × Llama 3.3 70B. Shopper file is Q4_K_M at 256K. Calculator verdict: fits with ram offload. 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.

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.

Llama 3.3 70B on PRO W6800 fit table
Quant Weights 1× 4K1× 32K1× 125K 2× 4K2× 32K2× 125K Speed
Q6_K

Estimate

53.9 GB

bartowski/Llama-3.3-70B-Instruct-GGUF README table Q6_K 57.89 GB (LFS shards 39.95 + 17.93 GB)

Does not fit this GPU

56.4 GB

Does not fit this GPU

65.3 GB

Does not fit this GPU

94.8 GB

Fits in VRAM (estimate)

28.2 GB/GPU

Does not fit this GPU

32.6 GB/GPU

Does not fit this GPU

47.4 GB/GPU

not measured yet

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

Contribute · amdai-bench

Q5_K_M

Estimate

46.5 GB

bartowski/Llama-3.3-70B-Instruct-GGUF README table Q5_K_M 49.95 GB (LFS shards 39.99 + 9.96 GB)

Does not fit this GPU

48.9 GB

Does not fit this GPU

57.8 GB

Does not fit this GPU

87.3 GB

Fits in VRAM (estimate)

24.4 GB/GPU

Fits in VRAM (estimate)

28.9 GB/GPU

Does not fit this GPU

43.6 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

39.6 GB

bartowski/Llama-3.3-70B-Instruct-GGUF README table Q4_K_M 42.52 GB (LFS 42.52 GB)

Does not fit this GPU

41.9 GB

Does not fit this GPU

50.7 GB

Does not fit this GPU

80.2 GB

Fits in VRAM (estimate)

20.9 GB/GPU

Fits in VRAM (estimate)

25.4 GB/GPU

Does not fit this GPU

40.1 GB/GPU

not measured yet

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

Contribute · amdai-bench

Q3_K_M

Q3 estimate

31.9 GB

bartowski/Llama-3.3-70B-Instruct-GGUF README table Q3_K_M 34.27 GB. Q3 is a labeled estimate — not a local desktop run

Does not fit this GPU

34.1 GB

Does not fit this GPU

42.9 GB

Does not fit this GPU

72.4 GB

Fits in VRAM (estimate)

17.0 GB/GPU

Fits in VRAM (estimate)

21.5 GB/GPU

Does not fit this GPU

36.2 GB/GPU

not measured yet

Q3_K_M 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 Q4_K_M on this card. Estimate unless a measured R9700 card overlays the kit.

Minimum system RAM needed

128 GB kit

Estimate · 113.8 GiB raw · 256K context

RAM needed at full context

48 GB kit

Estimate · 35.1 GiB raw · 8K full context

Estimate. Offloaded weights + KV in RAM + runtime + OS/desktop + headroom, rounded up to a 128 GB DIMM kit.

Breakdown
Offloaded weights ·
7.60 GiB
Separable embed in RAM ·
0 GiB
KV in RAM at selected ·
80.0 GiB
KV in RAM at full context ·
2.50 GiB
Runtime / backend ·
2.19 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

Llama 3.3 70B llama.cpp

Shape only — not a measured local desktop recipe. Copy the cited GGUF name from the model page.

# llama.cpp Vulkan. House pin when a recipe exists; otherwise a shape only.
./build-vk/bin/llama-server \
  -m ~/models/Llama-3.3-70B-Instruct-Q4_K_M.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/Llama-3.3-70B-Instruct-Q4_K_M.gguf \
  -ngl 99 \
  -c 262144 \
  --cache-type-k f16 \
  --cache-type-v f16 \
  --host 127.0.0.1 --port 8080

Same model, other cards

Llama 3.3 70B on the other published Radeon sheets.

Other models on PRO W6800

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 W6800

32 GB RDNA 2 workstation listing. Not the 16 GB consumer 6800 XT. 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 W6800 run Llama 3.3 70B?
Fits with RAM offload on the calculator at the shopper Q4_K_M file and 256K. Q6 / Q5 / Q4 are listed. Q3_K_M is a labeled estimate. llama.cpp first.
This pair · PRO W6800 · Llama 3.3 70B · Calculator
Which quant should I download?
Prefer the shopper Q4_K_M file when it still fits. Q6 / Q5 / Q4 are the listed shopper steps. Q3_K_M 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 .

Also: All pairs · PRO W6800 · Llama 3.3 70B · Official GGUF · Official card · llama.cpp · Speed up llama.cpp · Dual / multi-GPU

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