vmlinux/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-MTP-ROCmFPX-GGUF overview
Qwen3.6 27B Architect Polaris2 Fable B F451 — MTP ROCmFPX GGUF Text only ROCmFPX/ROCmFP4 GGUF builds of nightmedia/Qwen3.6 27B Architect Polaris2 Fable B F451 …
Runs locally from ~15.72 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-MTP-ROCmFP8.gguf | GGUF | GGUF | 26.26 GB | Download |
| Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-MTP-iMatrix-ROCmFP4.gguf | GGUF | GGUF | 15.72 GB | Download |
| Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-MTP-iMatrix-ROCmFP8_QUALITY_Q6.gguf | GGUF | Q6 | 23.55 GB | Download |
Model Details
| Model ID | vmlinux/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-MTP-ROCmFPX-GGUF |
|---|---|
| Author | vmlinux |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451 |
| Last modified | 2026-08-10T03:48:41.000Z |
Model README
---
license: apache-2.0
base_model: nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451
pipeline_tag: text-generation
library_name: llama.cpp
tags:
- gguf
- qwen3.6
- rocmfpx
- rocmfp4
- mtp
- vulkan
- strix-halo
- creative-writing
---
Qwen3.6 27B Architect Polaris2 Fable B F451 — MTP ROCmFPX GGUF
Text-only ROCmFPX/ROCmFP4 GGUF builds of
nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451,
with the checkpoint's embedded one-layer MTP draft model preserved.
These are experimental AMD Strix Halo builds. The custom ROCmFPX tensor types require
charlie12345/ROCmFPX; they will not load in an unmodified
stock llama.cpp build.
Files
| File | Size | Recipe | Intended use |
|---|---:|---|---|
| Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-MTP-ROCmFP8.gguf | 28.19 GB | Q8_0_ROCMFPX, no imatrix | Recommended quality-first build |
| Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-MTP-iMatrix-ROCmFP4.gguf | 16.88 GB | Q4_0_ROCMFP4_STRIX, F16 embedding, Q6_K output, narrative/general imatrix | Fast build |
| Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-MTP-iMatrix-ROCmFP8_QUALITY_Q6.gguf | 25.28 GB | Q6_0_ROCMFPX_AGENT, Q8 protection for sensitive tensors, narrative/general imatrix | Experimental quality-biased Q6 build |
All three files retain 64 main transformer blocks plus the embedded blk.64 MTP block. The source
checkpoint's vision tensors were intentionally omitted; these GGUFs are for text generation.
Checksums
179ec314e293cbce80620ecc5eeba75d8566d9d3fa1aab3169dffb524f530187 Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-MTP-ROCmFP8.gguf
0acfe339d09a9f0864312eaac91ad3145cc30afc3ad9044c735c9224ae1b6fb4 Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-MTP-iMatrix-ROCmFP4.gguf
2255f94eaa4bdb856b799eff7198a1d0e56ded53429c1c15523e8af441d9819a Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-MTP-iMatrix-ROCmFP8_QUALITY_Q6.gguf
Working ROCmFP8 router preset
This is the current text-only llama.cpp router preset used on a 128 GB Strix Halo system. It gives one
slot the full native 262,144-token context, uses F16 KV, enables cross-turn checkpoint reuse, and runs the
embedded MTP head with nmax=5.
The chat template is froggeric's
Download it separately and replace the example paths below.
[Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-MTP-ROCmFP8]
model = /path/to/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-MTP-ROCmFP8.gguf
chat-template-file = /path/to/chat_template.jinja
chat-template-kwargs = {"preserve_thinking": true}
ctx-size = 262144
parallel = 1
flash-attn = on
batch-size = 2048
ubatch-size = 256
threads = 16
threads-batch = 16
cache-type-k = f16
cache-type-v = f16
checkpoint-every-n-tokens = 256
cache-reuse = 256
cache-ram = 65536
mmap = 0
metrics = 1
spec-type = draft-mtp
spec-draft-device = Vulkan0
spec-draft-ngl = all
spec-draft-n-max = 5
spec-draft-p-min = 0.0
spec-draft-p-split = 0.10
reasoning = on
reasoning-format = deepseek
temp = 0.6
top-p = 0.95
top-k = 20
min-p = 0.0
repeat-penalty = 1.0
cache-ram = 65536 and F16 KV are intentionally memory-hungry settings for a 128 GB unified-memory
machine. Reduce the reuse-cache ceiling and/or use Q8 KV on smaller systems. Temperature 0.6 is the
precise/coding profile; 1.0 is a useful starting point for general or creative work.
Validation notes
- Native 262,144-token context allocation passed for every artifact with both Q8/Q8 and F16/F16 KV.
- ROCmFP8 passed a deterministic 131,072-token planted-fact recall probe, 4/4 facts recovered.
- ROCmFP8 measured 12–14 tok/s in the original controlled MTP tests. With the router profile above,
a short routed smoke measured 21.9 tok/s and a 4.46-token mean accepted MTP draft length.
- ROCmFP4 measured approximately 21–23 tok/s in short MTP tests on this host.
- These are directional single-host measurements, not benchmark medians.
Host: AMD Strix Halo / RADV GFX1151, 128 GB unified memory. Runtime: ROCmFPX commit
61f2f2d7bc4955e9bca821095ef69125837133b5 (llama.cpp build 162). The build checkout also contained a
pre-existing MoE-only local diff (1783321e5a89eadc541ce2905874e5ed1172223204f257b5e569278c4f34004f);
this dense 27B model has no expert tensors affected by that code path.
Build summary
- Source revision:
nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451@d92178a - One checked BF16 text+MTP GGUF was converted from the pinned source.
- ROCmFP8 was quantized directly from BF16 without an imatrix.
- ROCmFP4 and ROCmFP8_QUALITY_Q6 use the same narrative/general importance matrix: 511 × 2,048-token
chunks, 496/496 quantizable tensor coverage. The calibration corpus used public-domain Project Gutenberg
texts with whole-document holdouts.
Upstream and attribution
- Source merge and model work: NightMedia — Qwen3.6-27B Architect Polaris2 Fable B F451
- Base architecture: Qwen — Qwen3.6-27B
- Custom quantization/runtime: charlie12345/ROCmFPX
- Upstream llama.cpp: ggml-org/llama.cpp
- Runtime and ROCmFP4 recipe reference: Plunderstruck — Qwen3.6-27B MTP ROCmFP4 GGUF
- Qwen3.6 chat template: froggeric/Qwen-Fixed-Chat-Templates
- Public-domain calibration texts: Project Gutenberg
The model weights and this derivative packaging retain the upstream Apache-2.0 license. Please consult the
linked source model card for its full merge lineage and intended-use notes.
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