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[GLM-5.2] Mark MI350X verified #1065

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esmeetu merged 1 commit into from
Oct 7, 2026
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[GLM-5.2] Mark MI350X verified #1065

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9 changes: 7 additions & 2 deletions models/zai-org/GLM-5.2.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@ meta:
provider: "GLM (Z-AI)"
description: "GLM-5.2 — frontier-scale MoE language model (~743B total parameters, 39B active) with up to 5-token MTP speculative decoding and thinking mode"
date_added: 2026-06-16
date_updated: 2026-09-28
date_updated: 2026-10-03
difficulty: advanced
tasks:
- text
Expand All @@ -17,6 +17,7 @@ meta:
b200: verified
mi300x: verified
mi325x: verified
mi350x: verified
mi355x: verified

model:
Expand Down Expand Up @@ -244,7 +245,7 @@ guide: |
```
tps up to 70+ for single request

### FP8 on AMD MI300X/MI325X/MI355X (full 1M context)
### FP8 on AMD MI300X/MI325X/MI350X/MI355X (full 1M context)

GLM-5.2 has a native 1M-token window. Whether the full window fits on ROCm is a
KV-cache VRAM question, so the levers are `--max-model-len` and `--max-num-seqs`.
Expand Down Expand Up @@ -287,6 +288,10 @@ guide: |
concurrency. MTP is healthy there: a mean acceptance length of 4.00 out of 5 drafted
tokens on a short greedy generation.

On 8x MI350X it reports a 2,205,424-token KV cache and 4.21x maximum concurrency at the
same settings, and MTP's mean acceptance length is 3.62 out of 5 drafted tokens on a
512-token greedy generation.

### MXFP4 on AMD MI355X

The AMD Quark MXFP4 checkpoint quantizes the MoE weights while leaving non-MoE modules in
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