Models · Fast agent when Strata is up

Qwen 3.8 Flash

the house fast agent: Unsloth UD-Q6_K_XL. Two 32 GB cards plus 96 GB DDR5 run Q4 at 256K — see Flash requirements. Strata is the cited Hermes path (~32.6 tok/s); llama.cpp is first on this page (~16 tok/s). Two-card Q6 lives on Flash daily. Untested cells say contribute. Q3 is a labeled estimate, not a shopper pick.

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

Official model card

Parameters
125B total
Active 6B active
Context
262,144 tokens
From the official card
License
On the official Hugging Face card
AMDai does not reprint a license string that is not already cited on this site. Read the license on the model’s own card.
Recommended
UD-Q6_K_XL
256K · llama.cpp first · Strata where cited

Official card (Qwen3.8-Flash-Next): 125B total / 6B active, plus a 51B n-gram embedding llama.cpp can keep in system RAM. 48 layers, 12 sparse-attention layers (GQA 2×256) plus a 12×256 indexer cache (raw + pooled key). 36 linear layers hold a fixed state. Publisher UD-Q6_K_XL folder lists ~169 GB.

Official card: Qwen/Qwen3.8-Flash-Next · GGUF: unsloth/Qwen3.8-Flash-Next-GGUF. Abliterated derivatives are educational only — read /abliterated, never the default on this page.

System RAM

Kit sizes are real DIMM steps. Measured peaks come from run cards when we have them; otherwise the line is an estimate. Wherever RAM offload appears, both shopper labels stay on the page.

Fast agent · Flash · 262K

Minimum system RAM needed

192 GB kit

Estimate · 159.9 GiB raw · 256K context

RAM needed at full context

192 GB kit

Estimate · 159.9 GiB raw · 256K full context

Estimate. Offloaded weights + KV in RAM + runtime + OS/desktop + headroom, rounded up to a 192 GB DIMM kit. The local desktop ships 256 GB DDR5; measured host-RAM usage is not recorded until Local AI numbers arrive.

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

Cited house pair

UD-Q6_K_XL at 262K. GPU count was not published on the prior first-party pair. llama.cpp first; Strata is the faster cited agent path.

  • Strata

    32.6 tok/s

    Prior first-party Flash UD-Q6_K_XL on the local desktop. Card count was not published; recorded on the two-R9700 host.

    Benchmarks

  • llama.cpp

    16 tok/s

    Same prior first-party pair. llama.cpp first on this site; Strata is the faster cited agent path.

    Benchmarks

Speeds

Cited house pair only. Empty cells stay contribute.

Configuration table

Q6 / Q5 / Q4, plus Q3 as a labeled estimate. 1 GPU and 2 GPU. Decode, prefill, peak VRAM per card, VRAM total, and peak system RAM come from amdai-bench/run@1 cards when a cell is measured. A null field stays not on the card. Untested cells say no data — contribute . Q1 and Q2 stay off.

Qwen 3.8 Flash configurations. Measured cells cite run cards. Q3 is a labeled estimate unless a card exists.
Quant GPUs Context Decode Prefill VRAM / card VRAM total System RAM Source
UD-Q6_K_XL 1 · single short no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q6_K_XL 1 · single 8K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q6_K_XL 1 · single 32K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q6_K_XL 1 · single 100K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q6_K_XL 1 · single 128K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q6_K_XL 1 · single 256K 16 tok/s (llama.cpp) · 32.6 tok/s (Strata) not on the card not on the card not on the card not on the card Flash pair House recipes list card_count 2. Recorded on the two-R9700 local desktop. Treat layout as cited on those recipes, not a new bench.
UD-Q6_K_XL 2 · split short no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q6_K_XL 2 · split 8K 32.8 tok/s (Strata) not on the card not on the card not on the card not on the card Flash daily Two-card UD-Q6_K_XL at 262K-capable launch. llama.cpp DDR5-5200 18.5 tok/s · DDR5-3600 15.9 tok/s. Peak VRAM and RAM were not published on that set.
UD-Q6_K_XL 2 · split 32K 32.8 tok/s (Strata) not on the card not on the card not on the card not on the card Flash daily Two-card UD-Q6_K_XL at 262K-capable launch. llama.cpp DDR5-5200 18.2 tok/s · DDR5-3600 15.6 tok/s. Peak VRAM and RAM were not published on that set.
UD-Q6_K_XL 2 · split 100K 31.8 tok/s (Strata) not on the card not on the card not on the card not on the card Flash daily Two-card UD-Q6_K_XL at 262K-capable launch. llama.cpp DDR5-5200 17.9 tok/s · DDR5-3600 15.3 tok/s. Peak VRAM and RAM were not published on that set.
UD-Q6_K_XL 2 · split 128K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q6_K_XL 2 · split 256K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q5_K_XL 1 · single short no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q5_K_XL 1 · single 8K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q5_K_XL 1 · single 32K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q5_K_XL 1 · single 100K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q5_K_XL 1 · single 128K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q5_K_XL 1 · single 256K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q5_K_XL 2 · split short no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q5_K_XL 2 · split 8K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q5_K_XL 2 · split 32K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q5_K_XL 2 · split 100K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q5_K_XL 2 · split 128K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q5_K_XL 2 · split 256K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q4_K_XL 1 · single short no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q4_K_XL 1 · single 8K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q4_K_XL 1 · single 32K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q4_K_XL 1 · single 100K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q4_K_XL 1 · single 128K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q4_K_XL 1 · single 256K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q4_K_XL 2 · split short no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q4_K_XL 2 · split 8K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q4_K_XL 2 · split 32K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q4_K_XL 2 · split 100K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q4_K_XL 2 · split 128K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q4_K_XL 2 · split 256K no data — contribute no data — contribute no data — contribute no data — contribute no data — contribute Contribute
UD-Q3_K_XL estimate 1 · single short no data — contribute no data — contribute 94.0 GB (estimate) 94.0 GB (estimate) 96 GB kit (estimate) Calculator Labeled Q3 estimate from the calculator + UD-Q3_K_XL listing. Not a local desktop speed run.
UD-Q3_K_XL estimate 1 · single 8K no data — contribute no data — contribute 94.0 GB (estimate) 94.0 GB (estimate) 96 GB kit (estimate) Calculator Labeled Q3 estimate from the calculator + UD-Q3_K_XL listing. Not a local desktop speed run.
UD-Q3_K_XL estimate 1 · single 32K no data — contribute no data — contribute 94.0 GB (estimate) 94.0 GB (estimate) 96 GB kit (estimate) Calculator Labeled Q3 estimate from the calculator + UD-Q3_K_XL listing. Not a local desktop speed run.
UD-Q3_K_XL estimate 1 · single 100K no data — contribute no data — contribute 94.0 GB (estimate) 94.0 GB (estimate) 96 GB kit (estimate) Calculator Labeled Q3 estimate from the calculator + UD-Q3_K_XL listing. Not a local desktop speed run.
UD-Q3_K_XL estimate 1 · single 128K no data — contribute no data — contribute 94.0 GB (estimate) 94.0 GB (estimate) 96 GB kit (estimate) Calculator Labeled Q3 estimate from the calculator + UD-Q3_K_XL listing. Not a local desktop speed run.
UD-Q3_K_XL estimate 1 · single 256K no data — contribute no data — contribute 94.0 GB (estimate) 94.0 GB (estimate) 96 GB kit (estimate) Calculator Labeled Q3 estimate from the calculator + UD-Q3_K_XL listing. Not a local desktop speed run.
UD-Q3_K_XL estimate 2 · split short no data — contribute no data — contribute 47.0 GB (estimate) 94.0 GB (estimate) 64 GB kit (estimate) Calculator Labeled Q3 estimate from the calculator + UD-Q3_K_XL listing. Not a local desktop speed run.
UD-Q3_K_XL estimate 2 · split 8K no data — contribute no data — contribute 47.0 GB (estimate) 94.0 GB (estimate) 64 GB kit (estimate) Calculator Labeled Q3 estimate from the calculator + UD-Q3_K_XL listing. Not a local desktop speed run.
UD-Q3_K_XL estimate 2 · split 32K no data — contribute no data — contribute 47.0 GB (estimate) 94.0 GB (estimate) 64 GB kit (estimate) Calculator Labeled Q3 estimate from the calculator + UD-Q3_K_XL listing. Not a local desktop speed run.
UD-Q3_K_XL estimate 2 · split 100K no data — contribute no data — contribute 47.0 GB (estimate) 94.0 GB (estimate) 64 GB kit (estimate) Calculator Labeled Q3 estimate from the calculator + UD-Q3_K_XL listing. Not a local desktop speed run.
UD-Q3_K_XL estimate 2 · split 128K no data — contribute no data — contribute 47.0 GB (estimate) 94.0 GB (estimate) 64 GB kit (estimate) Calculator Labeled Q3 estimate from the calculator + UD-Q3_K_XL listing. Not a local desktop speed run.
UD-Q3_K_XL estimate 2 · split 256K no data — contribute no data — contribute 47.0 GB (estimate) 94.0 GB (estimate) 64 GB kit (estimate) Calculator Labeled Q3 estimate from the calculator + UD-Q3_K_XL listing. Not a local desktop speed run.

Launch commands

llama.cpp first. Strata only where this site already documents it. Flags marked on the recipe stay shape-only. Recommended context is 256K.

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 .

llama.cpp · UD-Q6_K_XL · 262K

llama.cpp

llama.cpp · Vulkan flags not recorded

# Shape only — llama.cpp Q6, 8 threads on the same Flash file. Exact flags TODO.
./build-vk/bin/llama-server \
  -m ~/models/Qwen3.8-Flash-Next-UD-Q6_K_XL.gguf \
  -t 8 \
  -c 262144 \
  --host 127.0.0.1 --port 8080

Full recipe · Calculator

Strata · UD-Q6_K_XL · 262K

Strata

Strata · HIP flags not recorded

# Shape only — exact Strata flags TODO. Recipe strata-flash-q6, no MTP.
# This site’s convention: 127.0.0.1:8083 so llama-server can keep :8080.
curl -s http://127.0.0.1:8083/v1/models

Full recipe · Calculator

Fit by GPU

Calculator VRAM at the shopper quant, 1 GPU and 2 GPUs (split). The R9700 35B one-card badge is the measured card; other SKUs stay estimates. Speed is not invented here. Offload rows still show both RAM labels on this page.

Qwen 3.8 Flash calculator fit on cited /gpus sheets. 1 GPU and 2 GPU. Estimates unless marked measured.
GPU 1 GPU 2 GPU
Can R9700 run Qwen 3.8 Flash? R9700 sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can PRO W7900 run Qwen 3.8 Flash? PRO W7900 sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can PRO W7800 run Qwen 3.8 Flash? PRO W7800 sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can PRO W7700 run Qwen 3.8 Flash? PRO W7700 sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can PRO W6800 run Qwen 3.8 Flash? PRO W6800 sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can RX 7900 XTX run Qwen 3.8 Flash? RX 7900 XTX sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can RX 7900 XT run Qwen 3.8 Flash? RX 7900 XT sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can RX 9070 XT run Qwen 3.8 Flash? RX 9070 XT sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can RX 9070 run Qwen 3.8 Flash? RX 9070 sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can RX 9070 GRE run Qwen 3.8 Flash? RX 9070 GRE sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can RX 9060 XT run Qwen 3.8 Flash? RX 9060 XT sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can RX 7900 GRE run Qwen 3.8 Flash? RX 7900 GRE sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can RX 7800 XT run Qwen 3.8 Flash? RX 7800 XT sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can RX 7700 XT run Qwen 3.8 Flash? RX 7700 XT sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can RX 7600 XT run Qwen 3.8 Flash? RX 7600 XT sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can RX 7600 run Qwen 3.8 Flash? RX 7600 sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can RX 6800 XT run Qwen 3.8 Flash? RX 6800 XT sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can RX 6950 XT run Qwen 3.8 Flash? RX 6950 XT sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can RX 6700 XT run Qwen 3.8 Flash? RX 6700 XT sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate
Can Strix Halo run Qwen 3.8 Flash? Strix Halo sheet · Estimate Does not fit this GPU 167.9 GB estimate Does not fit this GPU 167.9 GB estimate

Compare with…

Head-to-head pages use the same sizes, cited context, and calculator fit already on the model pages. Q3 is a labeled estimate. No invented prices. Qwen 3.8 Flash against the other cited /models pages:

Also: Gemma 3 27B · gpt-oss 20B · Llama 3.3 70B · Qwen3.6 27B · Qwen3.8 27B

Recipes

Launch recipes for this card. Decode cells stay empty until a sourced run exists.
Model Setup Backend Quant Ctx Decode Evidence
Qwen 3.8 Flash UD-Q6_K_XL (folder) 2× r9700 llama.cpp vulkan UD-Q6_K_XL 262K 16 Tested on our rig
Qwen 3.8 Flash UD-Q6_K_XL (folder) 2× r9700 Strata hip UD-Q6_K_XL 262K 32.6 Tested on our rig

Official run cards

Measured cells come from verified amdai-bench/run@1 cards credited to the submitter.

amdai-bench/run@1 · single · 256K

Qwen 3.8 Flash · UD-Q6_K_XL

Strata v0.1.42 · 2 GPUs · 262,144 tokens

Measured Verified

Credited to AMDai @amdai · local-desktop verified submitter

2026-10 (date not recorded)

Prefill
not measured
Decode
32.6 tok/s
Aggregate
not measured
Peak VRAM
not measured
Peak system RAM
not measured
Errors · duration
0 · not recorded

Measured on our rig, 2026-10. Prior first-party Flash Q6: Strata ~32.6 tok/s. Card count was not published; recorded on the two-R9700 host. A different run from the 32.8 / 31.8 two-card points.

Full card · launch command

amdai-bench/run@1 · single · 256K

Qwen 3.8 Flash · UD-Q6_K_XL

llama.cpp · 2 GPUs · 262,144 tokens

Measured Verified

Credited to AMDai @amdai · local-desktop verified submitter

2026-10 (date not recorded)

Prefill
not measured
Decode
16 tok/s
Aggregate
not measured
Peak VRAM
not measured
Peak system RAM
not measured
Errors · duration
0 · not recorded

Measured on our rig, 2026-10. Prior first-party Flash Q6: llama.cpp ~16 tok/s versus Strata ~32.6. Card count was not published; recorded on the two-R9700 host.

Full card · launch command

amdai-bench/run@1 · single · 8K

Qwen 3.8 Flash · UD-Q6_K_XL

Strata v0.1.42 · 2 GPUs · 8,192 tokens

Measured Verified

Credited to AMDai @amdai · local-desktop verified submitter

2026-10 (date not recorded)

Prefill
not measured
Decode
32.8 tok/s
Aggregate
not measured
Peak VRAM
not measured
Peak system RAM
not measured
Errors · duration
0 · not recorded

Measured on our rig, 2026-10. Two-card Flash Q6 at 262K load. Strata 32.8 tok/s at 8K. DDR5-5200.

Full card · launch command

amdai-bench/run@1 · single · 8K

Qwen 3.8 Flash · UD-Q6_K_XL

Strata v0.1.42 · 2 GPUs · 8,192 tokens

Measured Verified

Credited to AMDai @amdai · local-desktop verified submitter

2026-10 (date not recorded)

Prefill
not measured
Decode
32 tok/s
Aggregate
not measured
Peak VRAM
not measured
Peak system RAM
not measured
Errors · duration
0 · not recorded

Measured on our rig, 2026-10. Two-card Flash Q6, Strata, DDR5-3600, 32.0 tok/s at 8K. Pair with 32.8 at DDR5-5200.

Full card · launch command

amdai-bench/run@1 · single · 32K

Qwen 3.8 Flash · UD-Q6_K_XL

Strata v0.1.42 · 2 GPUs · 32,768 tokens

Measured Verified

Credited to AMDai @amdai · local-desktop verified submitter

2026-10 (date not recorded)

Prefill
not measured
Decode
32.8 tok/s
Aggregate
not measured
Peak VRAM
not measured
Peak system RAM
not measured
Errors · duration
0 · not recorded

Measured on our rig, 2026-10. Two-card Flash Q6 at 262K load. Strata 32.8 tok/s at 32K.

Full card · launch command

amdai-bench/run@1 · single · 100K

Qwen 3.8 Flash · UD-Q6_K_XL

Strata v0.1.42 · 2 GPUs · 100,000 tokens

Measured Verified

Credited to AMDai @amdai · local-desktop verified submitter

2026-10 (date not recorded)

Prefill
not measured
Decode
31.8 tok/s
Aggregate
not measured
Peak VRAM
not measured
Peak system RAM
not measured
Errors · duration
0 · not recorded

Measured on our rig, 2026-10. Two-card Flash Q6 at 262K load. Strata 31.8 tok/s at 100K.

Full card · launch command

amdai-bench/run@1 · single · 8K

Qwen 3.8 Flash · UD-Q6_K_XL

llama.cpp · 2 GPUs · 8,192 tokens

Measured Verified

Credited to AMDai @amdai · local-desktop verified submitter

2026-10 (date not recorded)

Prefill
not measured
Decode
18.5 tok/s
Aggregate
not measured
Peak VRAM
not measured
Peak system RAM
not measured
Errors · duration
0 · not recorded

Measured on our rig, 2026-10. Two-card Flash Q6, llama.cpp, DDR5-5200, 18.5 tok/s at 8K.

Full card · launch command

amdai-bench/run@1 · single · 32K

Qwen 3.8 Flash · UD-Q6_K_XL

llama.cpp · 2 GPUs · 32,768 tokens

Measured Verified

Credited to AMDai @amdai · local-desktop verified submitter

2026-10 (date not recorded)

Prefill
not measured
Decode
18.2 tok/s
Aggregate
not measured
Peak VRAM
not measured
Peak system RAM
not measured
Errors · duration
0 · not recorded

Measured on our rig, 2026-10. Two-card Flash Q6, llama.cpp, DDR5-5200, 18.2 tok/s at 32K.

Full card · launch command

amdai-bench/run@1 · single · 100K

Qwen 3.8 Flash · UD-Q6_K_XL

llama.cpp · 2 GPUs · 100,000 tokens

Measured Verified

Credited to AMDai @amdai · local-desktop verified submitter

2026-10 (date not recorded)

Prefill
not measured
Decode
17.9 tok/s
Aggregate
not measured
Peak VRAM
not measured
Peak system RAM
not measured
Errors · duration
0 · not recorded

Measured on our rig, 2026-10. Two-card Flash Q6, llama.cpp, DDR5-5200, 17.9 tok/s at 100K.

Full card · launch command

amdai-bench/run@1 · single · 8K

Qwen 3.8 Flash · UD-Q6_K_XL

llama.cpp · 2 GPUs · 8,192 tokens

Measured Verified

Credited to AMDai @amdai · local-desktop verified submitter

2026-10 (date not recorded)

Prefill
not measured
Decode
15.9 tok/s
Aggregate
not measured
Peak VRAM
not measured
Peak system RAM
not measured
Errors · duration
0 · not recorded

Measured on our rig, 2026-10. Two-card Flash Q6, llama.cpp, DDR5-3600, 15.9 tok/s at 8K.

Full card · launch command

amdai-bench/run@1 · single · 32K

Qwen 3.8 Flash · UD-Q6_K_XL

llama.cpp · 2 GPUs · 32,768 tokens

Measured Verified

Credited to AMDai @amdai · local-desktop verified submitter

2026-10 (date not recorded)

Prefill
not measured
Decode
15.6 tok/s
Aggregate
not measured
Peak VRAM
not measured
Peak system RAM
not measured
Errors · duration
0 · not recorded

Measured on our rig, 2026-10. Two-card Flash Q6, llama.cpp, DDR5-3600, 15.6 tok/s at 32K.

Full card · launch command

amdai-bench/run@1 · single · 100K

Qwen 3.8 Flash · UD-Q6_K_XL

llama.cpp · 2 GPUs · 100,000 tokens

Measured Verified

Credited to AMDai @amdai · local-desktop verified submitter

2026-10 (date not recorded)

Prefill
not measured
Decode
15.3 tok/s
Aggregate
not measured
Peak VRAM
not measured
Peak system RAM
not measured
Errors · duration
0 · not recorded

Measured on our rig, 2026-10. Two-card Flash Q6, llama.cpp, DDR5-3600, 15.3 tok/s at 100K. Strata prefill drops 9–20% at DDR5-5200 versus 3600 — unexplained; no first-party prefill tok/s published.

Full card · launch command

Next steps

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