haloq38flash — qwen3.8-flash-next on strix halo: converter fix, 91g provenance-verified quant, engine a/b, depth tables through 256k
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Julian Beltran
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<div align="center">
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# haloq38flash
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**qwen3.8-flash-next on amd strix halo — 91g quant, 56 tok/s, 262k context**
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[](https://huggingface.co/julianmb/Qwen3.8-Flash-Next-IQ4_XS-GGUF)
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[](https://github.com/Nathanw1014/llama.cpp/tree/strix-halo-vulkan)
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[](https://huggingface.co/Qwen/Qwen3.8-Flash-Next/blob/main/LICENSE)
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[](#results)
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[](#results)
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[](#the-converter-bug)
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*every published quant byte-traced back to the official checkpoint*
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</div>
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---
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## results
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engine: [nathanw1014/llama.cpp `strix-halo-vulkan`](https://github.com/Nathanw1014/llama.cpp/tree/strix-halo-vulkan) · vulkan/radv · q8_0 kv · `-ub 2048` · temp 0
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| depth | plain pp/tg | mtp pp/tg |
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|------:|:-----------:|:---------:|
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| 0 | 92.5 / 29.9 | 87.0 / **53.1** |
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| 8k | 480 / 24.1 | 458 / **56.4** |
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| 32k | 397 / 20.1 | 379 / **30.2** |
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| 128k | 222 / 11.0 | 214 / 18.6 |
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| 256k | 139 / 6.2 | — |
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> [!NOTE]
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> no collapse through 32k. the 128k+ falloff is context-mechanics
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> (sparse-attention indexer), not quant size — see the reversal below.
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<details>
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<summary><b>the 128k reversal — the PLE quant loses under MTP at depth</b></summary>
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at ≤32k the PLE quant wins everywhere. at 128k under mtp it *loses* to the
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static 116g (18.6 vs 26.9 t/s). plausible mechanism: iq4_nl noise in the
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n-gram table compounds over deep history and lowers draft acceptance.
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single runs, n=1 caveat. pick your file by use case — see the table above.
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</details>
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---
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## 📦 published quants
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[huggingface.co/julianmb/Qwen3.8-Flash-Next-IQ4_XS-GGUF](https://huggingface.co/julianmb/Qwen3.8-Flash-Next-IQ4_XS-GGUF)
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| file | size | pick it when |
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|------|------|:------------:|
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| `...-IQ4_XS-`**`PLE`**`.gguf` | 91 giB | ctx ≤ 32k — wins everywhere, mtp to 56 t/s |
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| `...-IQ4_XS.gguf` | 116 giB | ctx ≥ 128k — faster mtp at depth, wider fork compat |
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| `mtp-...-Q8_0.gguf` | 3.9 giB | mtp sidecar for nathanw1014-lineage engines |
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<details>
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<summary><b>the PLE cut — why the 51b n-gram table tolerates 4-bit</b></summary>
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the PLE table is gathered 16 random rows per token via hash lookup — there is
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no matmul on the table itself, and no two consecutive tokens hit the same rows.
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the rows tolerate iq4_nl (4.25 bpw) with no measurable degradation across the
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depth sweep. the cut: `--tensor-type "per_layer_token_embd=IQ4_XS"` on our
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quantizer → 54g → 27g.
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**fork caveat:** engines that feed gathered PLE rows straight into mul_mat as
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quantized B operands assert (apepojken-class, ggml-vulkan.cpp:7794). verified
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working on nathanw1014 strix-halo-vulkan and rocmfpx.
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</details>
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### pick your setup
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| your use case | quant | engine | ctx | expect |
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|---|---|---|---|---|
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| coding agents, chat | 91g PLE | [nathanw1014 vulkan](https://github.com/Nathanw1014/llama.cpp/tree/strix-halo-vulkan) + mtp | ≤ 32k | 56 t/s |
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| long documents | 116g static | same engine + mtp | 128k | 27 t/s |
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| full rag / research | 116g static | [rocm 10 container](https://github.com/MorezMartin/engramhalo-rocm10) + ssd streaming | 262k | 14 t/s |
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---
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## 🐛 the converter bug
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our first quant printed deterministic garbage at temp 0. bisect to root cause:
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- experts, gdn reorder, ple scale, metadata: all innocent
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- **97 of 388 f32 tensors differed by exactly 1.0** — every hyper-connection
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norm shipped raw where the runtime expects `raw + 1`
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- cause: the checkpoint nests hyper-connections under
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`attn_hyper_connection` / `mlp_hyper_connection` / `hyper_connection_mixer`,
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and those names hit early-return branches in the converter that bypass the
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generic `norm.weight → +1` rule
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> [!WARNING]
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> **any fork rolling its own qwen4exp converter must fold `(1 + w)` into the
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> hyper-connection gammas.** upstream runtime documents the contract at
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> `qwen4exp.cpp:231`. miss it and every layer normalizes wrong — garbage
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> from layer 0, all shapes correct, all shape-only tests pass.
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fix + regression test: rocmfpx `port-qwen4exp` commit `61b6a3b48`
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([pr charlie12345/ROCmFPX#98](https://github.com/charlie12345/ROCmFPX/pull/98))
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---
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## 🐳 docker
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```bash
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git clone https://github.com/julianmb/haloq38flash && cd haloq38flash
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docker compose up --build
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# serve on :8080 — vulkan/radv, no rocm install needed
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```
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add the mtp sidecar for 56 t/s:
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```bash
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docker compose run qwen38-flash-next /app/llama-server \
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-md /models/mtp-Qwen3.8-Flash-Next-Q8_0.gguf \
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--spec-type draft-mtp --spec-draft-n-max 6 --spec-draft-p-min 0.75
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```
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---
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## 🔬 engine merge (paused)
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we merged nathanw1014's branch (175 commits: vulkan perf stack, qwen4exp
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runtime past the squash, lazy ple, spec-decode fixes) into ggml-org master —
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one engine with lazy ple (262k on 66g resident) + depth fixes + master's
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general improvements. paused at 53% build: the branches diverged semantically
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in shared enum/base-class files.
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- [`docs/engine-cherry-pick-plan.md`](docs/engine-cherry-pick-plan.md) — full
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175-commit classification
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- [`docs/engine-merge-status.md`](docs/engine-merge-status.md) — resume point
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---
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## 📁 layout
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| path | what |
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|------|------|
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| `models/` | symlink farm to `/mnt/ssd2/models/` (never in git) |
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| `results/` | dated receipts, one per investigation |
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| `scripts/` | conversion pipeline, oracle, depth bench, resume helpers |
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| `reddit/` | archived community threads that drove the investigation |
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| `docs/` | engine merge plan, cherry-pick classification |
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---
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## ⚠️ operational gotchas (128g strix halo)
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- always `-c 8192`-bounded ctx + `timeout` + `/usr/bin/time -v` — the gguf
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default 262144 + full offload hard-hung this box once
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- `vm.dirty_ratio=15 / dirty_background_ratio=5` — the 191g ple conversion
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memmap wedges `balance_dirty_pages` for hours at kernel defaults
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- conversion peak: ple scratch (191g) + f16 output (354g) coexist — budget
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~560g free
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- `pkill -x llama-cli`, never `-f` (matches your own wrapper shell)
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- gpu memory is shared with everything else on the apu — two engines cannot
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hold ~90g+ models simultaneously without an oom cascade
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---
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license: [qwen community license 1.0](https://huggingface.co/Qwen/Qwen3.8-Flash-Next/blob/main/LICENSE) · base model: [Qwen/Qwen3.8-Flash-Next](https://huggingface.co/Qwen/Qwen3.8-Flash-Next)
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