Advisor / Can it run? / gpt-oss 120B on AMD Ryzen AI Max+ 395 (Strix Halo) 128GB

Can AMD Ryzen AI Max+ 395 (Strix Halo) 128GB run gpt-oss 120B?

Measured results for gpt-oss 120B (116.83B MoE, 5.1B active) on AMD Ryzen AI Max+ 395 (Strix Halo) 128GB, plus what fits and the commands to run it.

56.4generation tok/s (Q4 class, median of 2 public runs)
727prompt tok/s, public median
64.0 GBQ8_0 + 16k f16 KV, fits fully
108 GBusable on this hardware

Short answer

Yes. gpt-oss 120B Q8_0 fits fully on AMD Ryzen AI Max+ 395 (Strix Halo) 128GB at 16k context, using 64.0 of 108.3 GB usable, and generates about 56.4 tokens/s. For Q8_0, our bandwidth-only estimate was ~51 tok/s against a measured median of ~44 (15% too optimistic).

Measured generation speed by quantization

QuantGeneration tok/sRangePrompt tok/sRunsOrigin
Q4 class (median)56.455.6–57.27272public runs

Generation = tg128 (128 generated tokens, short context). Public rows are medians of community llama.cpp results (sources); our own runs use llama-bench on a rented GPU.

Memory and context limits

Q8_0 weights are 63.4 GB; the 16k f16 KV cache adds 0.61 GB. Largest context that fits in 108.3 GB usable:

KV cache typeMax context
f16128k
q8_0128k
q4_0128k

Native limit 128k. Full KV cache table for gpt-oss 120B.

Copy-paste commands

The advisor's pick for this hardware: Q8_0, 16k context.

llama.cpp
llama-server -hf unsloth/gpt-oss-120b-GGUF:Q8_0 -c 16384 -fa on --jinja -ngl 99
ollama
OLLAMA_CONTEXT_LENGTH=16384 ollama run hf.co/unsloth/gpt-oss-120b-GGUF:Q8_0

FAQ

How fast is gpt-oss 120B on AMD Ryzen AI Max+ 395 (Strix Halo) 128GB?

About 56.4 tokens/s for generation (Q4 class, median of 2 public runs). Speed drops as the context fills; see the depth table on this hardware's other pages.

How much memory does gpt-oss 120B need on AMD Ryzen AI Max+ 395 (Strix Halo) 128GB?

The advisor's pick, Q8_0, is 63.4 GB of weights plus 0.61 GB of KV cache at 16k context (64.0 GB), against 108.3 GB usable.

What is the maximum context for gpt-oss 120B on AMD Ryzen AI Max+ 395 (Strix Halo) 128GB?

With an f16 KV cache about 128k tokens, 128k with q8_0 and 128k with q4_0, bounded by the model's own limit.

Related

All models on AMD Ryzen AI Max+ 395 (Strix Halo) 128GB · gpt-oss 120B on all hardware · VRAM tier · all measured pages · leaderboard

Compare: AMD Ryzen AI Max+ 395 (Strix Halo) 128GB vs NVIDIA DGX Spark 128GB · AMD Ryzen AI Max+ 395 (Strix Halo) 128GB vs MacBook Pro 14/16 (2024) M4 Max 128GB