--- base_model: OBLITERATUS/Qwen3.6-27B-OBLITERATED base_model_relation: quantized license: apache-2.0 library_name: gguf tags: - gguf - rocmfp4 - qwen3.6 - obliterated - abliterated - uncensored - 27b - mtp - speculative-decoding - strix-halo - amd - rocm - vulkan language: - en --- # Qwen3.6-27B-OBLITERATED-MTP — ROCmFP4 STRIX > ## 🚧 Work in progress — files not uploaded yet > This card is up so you know it's coming. The **GGUFs aren't here yet** — the BF16 source is downloading > and the quant/measurement pipeline is queued behind some other uploads. Check back; this notice gets > replaced with the files + measured numbers when it's done. Experimental **AMD Strix Halo (gfx1151)** quant of [**OBLITERATUS/Qwen3.6-27B-OBLITERATED**](https://huggingface.co/OBLITERATUS/Qwen3.6-27B-OBLITERATED) — an **abliterated / uncensored** Qwen3.6-27B (refusal direction removed, with source-weight interpolation to retain capability) — in the custom **ROCmFP4** 4-bit format, with an MTP / next-token-prediction head **grafted in** for self-speculative decoding on a single APU. > **⚠️ Ignore HuggingFace's auto-detected quant badge ("F16"/16-bit) — it's wrong.** > HF can't read the custom ROCmFP4 tensor types and mislabels the file by its f16 embeddings. **These will > be ~4.5 bpw 4-bit ROCmFP4 files, not 16-bit.** Pick by filename in *Files and versions*. > ## Requires the ROCmFP4 fork (public) — not stock llama.cpp > Uses the **ROCmFP4** tensor types (`q4_0_rocmfp4`, `q4_0_rocmfp4_fast`). **Stock llama.cpp, LM Studio, > Ollama, etc. cannot load it.** Build/run with > **[`charlie12345/rocmfp4-llama`](https://github.com/charlie12345/rocmfp4-llama)** (`mtp-rocmfp4-strix`). ## Lineage ``` this ROCmFP4 quant ──quantized──▶ OBLITERATUS/Qwen3.6-27B-OBLITERATED ──abliterated──▶ Qwen/Qwen3.6-27B ``` It's a 4-bit Strix-Halo quant of OBLITERATUS's abliterated 27B. The abliteration (refusal-direction removal + source interpolation) is upstream work; we only do the ROCmFP4 quant + MTP graft. ## Planned recipe (what these will be) - **Genuine f16 token embeddings** — quantized **from the BF16 safetensors**, so the f16 embeddings are real f16 (not Q8→f16 "fake-f16"). - **Grafted MTP head** — a `nextn` head transplanted from a Qwen3.6-27B-MTP BF16 donor (output-lossless; it only affects draft *speed*), so it runs self-speculative on the fork. - **Two output-head variants** — a base (4-bit head, fastest) and a **`Q6_K` head** (a notch more faithful). - **imatrix: measured, then decided.** This is a *dense* Qwen3.6-27B — the same architecture class as our [Qwopus-Coder](https://huggingface.co/plunderstruck/Qwopus3.6-27B-Coder-MTP-ROCmFP4-GGUF), the one model where a code-weighted imatrix *worsened* perplexity. So we'll build both and pick by **measured KL + perplexity vs the BF16**, rather than assume. Whatever ships, the card will say which won and show the numbers. ## Status 🚧 Building. No files yet, and **no quality measurement yet** — nothing here is a quality claim. When it lands it'll carry the same honest scope as our other cards: a KL/PPL fidelity comparison vs BF16, not an absolute benchmark. ## Sibling ROCmFP4 Strix Halo models - [Qwen3.6-27B-MTP](https://huggingface.co/plunderstruck/Qwen3.6-27B-MTP-ROCmFP4-GGUF) · [Qwen3.6-35B-A3B-MTP](https://huggingface.co/plunderstruck/Qwen3.6-35B-A3B-MTP-ROCmFP4-GGUF) · [Qwopus3.6-27B-Coder-MTP](https://huggingface.co/plunderstruck/Qwopus3.6-27B-Coder-MTP-ROCmFP4-GGUF) - [Qwen3.6-40B-Deckard-MTP](https://huggingface.co/plunderstruck/Qwen3.6-40B-Deckard-MTP-ROCmFP4-GGUF) · [Qwen3-Coder-Next](https://huggingface.co/plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF) · [Nex-N2-mini](https://huggingface.co/plunderstruck/Nex-N2-mini-ROCmFP4-GGUF) ## Credits & license - **Base model:** [`OBLITERATUS/Qwen3.6-27B-OBLITERATED`](https://huggingface.co/OBLITERATUS/Qwen3.6-27B-OBLITERATED) (Apache-2.0), an abliterated derivative of [`Qwen/Qwen3.6-27B`](https://huggingface.co/Qwen/Qwen3.6-27B) (Qwen team). A derivative quantization — verify the base terms before redistribution/use. - **ROCmFP4 format & runtime:** [`charlie12345/rocmfp4-llama`](https://github.com/charlie12345/rocmfp4-llama) (based on llama.cpp, MIT).