Can my Radeon run it? · Strix Halo · Llama 3.3 70B · llama.cpp

Can Strix Halo run Llama 3.3 70B?

Fits with RAM offload

Strix Halo (64 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 Strix Halo 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

Fits in VRAM (estimate)

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

Tight — little desktop headroom

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)

Fits in VRAM (estimate)

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

Fits in VRAM (estimate)

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

Fits in VRAM (estimate)

34.1 GB

Tight — little desktop headroom

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

Fits in VRAM (estimate)

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 64 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 · 101.0 GiB raw · 256K context

RAM needed at full context

32 GB kit

Estimate · 25.0 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 ·
0 GiB
Separable embed in RAM ·
0 GiB
KV in RAM at selected ·
74.8 GiB
KV in RAM at full context ·
0 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 Strix Halo

Check price

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Check price · no live or invented prices

Ryzen AI Max+ 395 / Strix Halo

Mini-PC and laptop search for the Strix Halo APU. No live or invented price. Confirm 64 GB vs 128 GB kit on the listing.

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FAQ

Can Strix Halo 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 · Strix Halo · 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 · Strix Halo · Llama 3.3 70B · Official GGUF · Official card · llama.cpp · Speed up llama.cpp · Dual / multi-GPU

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