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NOTICE

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+Ternary Bonsai 27B MTP GGUF
+
+Copyright 2026 vinpix for the independent GGUF construction and packaging.
+
+This product includes material derived from Ternary Bonsai 27B.
+Copyright 2026-present Prism ML, Inc.
+Created using Bonsai by Prism ML.
+The Prism ML material is available under the Apache License, Version 2.0.
+
+This product includes Qwen3.6-derived MTP tensor material.
+Qwen3.6-27B is Copyright 2026 Alibaba Cloud and is distributed under
+the Apache License, Version 2.0. The pinned MTP-only GGUF package used
+as a construction source is credited to lym00.
+
+These notices do not imply endorsement by any upstream party.

README.md

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+---
+license: apache-2.0
+library_name: llama.cpp
+pipeline_tag: text-generation
+base_model:
+  - prism-ml/Ternary-Bonsai-27B-gguf
+  - lym00/Qwen3.6-27B-MTP-ONLY-GGUF
+tags:
+  - gguf
+  - llama.cpp
+  - ternary
+  - tq2_0
+  - mtp
+  - nextn
+  - speculative-decoding
+  - self-contained
+---
+
+# Ternary Bonsai 27B — One-File MTP GGUF for stock llama.cpp
+
+A self-contained Ternary Bonsai 27B GGUF with one embedded Qwen-style NextN/MTP layer.
+
+The same file supports ordinary inference and `draft-mtp`. No separate draft model, sidecar GGUF, or custom llama.cpp fork is required.
+
+This is an independent community release. It is not an official Prism ML, Qwen, Alibaba Cloud, or llama.cpp release, and no upstream party endorses it.
+
+## Model file
+
+| File | Bytes | SHA-256 |
+|---|---:|---|
+| `Ternary-Bonsai-27B-MTP-TQ2_0.gguf` | 8,785,215,776 | `480c695b0de5b78b720d7f500eb3e1650359d0ac8e18c29b231a14b2d9c9bf20` |
+
+## Use with llama.cpp
+
+A stock llama.cpp build with `qwen35` and `draft-mtp` support is required.
+
+Ordinary inference:
+
+```bash
+llama-cli \
+  -m Ternary-Bonsai-27B-MTP-TQ2_0.gguf \
+  -p "Write a concise explanation of ternary neural-network weights." \
+  -n 128
+```
+
+MTP speculative decoding from the same GGUF:
+
+```bash
+llama-cli \
+  -m Ternary-Bonsai-27B-MTP-TQ2_0.gguf \
+  --spec-type draft-mtp \
+  -p "Write a concise explanation of ternary neural-network weights." \
+  -n 128
+```
+
+No `-md` argument is needed.
+
+## Download and verify
+
+```bash
+hf download vinpix/Ternary-Bonsai-27B-Stock-MTP-GGUF \
+  Ternary-Bonsai-27B-MTP-TQ2_0.gguf \
+  SHA256SUMS \
+  --local-dir .
+```
+
+Verify the downloaded payload:
+
+```bash
+sha256sum -c SHA256SUMS --ignore-missing
+```
+
+Expected model digest:
+
+```text
+480c695b0de5b78b720d7f500eb3e1650359d0ac8e18c29b231a14b2d9c9bf20
+```
+
+## Portable artifact facts
+
+These properties are independent of processor, accelerator, operating system, thread count, memory bandwidth, and runtime timing:
+
+| Property | Value |
+|---|---|
+| GGUF version | 3 |
+| Architecture | `qwen35` |
+| File size | 8,785,215,776 bytes |
+| Tensor count | 866 |
+| Metadata key/value count | 42 |
+| Transformer blocks | 65 |
+| Embedded NextN/MTP layers | 1 |
+| Main low-bit tensor type | `TQ2_0` |
+| Tensor-type inventory | F32 359; Q2_K 17; Q4_K 1; Q5_K 6; Q6_K 3; TQ2_0 480 |
+
+The public GGUF was checked for exact length, SHA-256, parseable GGUF v3 metadata, tensor inventory, block inventory, and absence of local absolute paths in structured metadata.
+
+Build-system source paths in `quantize.imatrix.file` and `quantize.imatrix.dataset` were replaced with neutral public values. Tensor data and tensor offsets were not modified.
+
+No device-specific throughput, prefill rate, memory use, hostname, mount point, username, or local filesystem path is published in this repository.
+
+## Construction and provenance
+
+The release combines:
+
+- Ternary Bonsai 27B trunk from `prism-ml/Ternary-Bonsai-27B-gguf`
+- Qwen3.6-derived MTP-only material packaged by `lym00/Qwen3.6-27B-MTP-ONLY-GGUF`
+
+Pinned construction sources:
+
+| Role | Source revision | Source SHA-256 |
+|---|---|---|
+| Ternary Bonsai 27B F16 trunk | `3f8cc399dde45ac0475d023634974407af34907c` | `f659ca3dd7e28ada5d8b5f3637862d0d51ef433bde032ec4c8990ed27c91a385` |
+| Qwen3.6 27B MTP-only BF16 package | `03b35db648da71e23ecfb239f70661e069b16054` | `97697fc5278d4bfd0afaa733ba28c4338cb0396b98d5f5acb781e515f72b52c0` |
+
+The donor package identifies the underlying model as `Qwen/Qwen3.6-27B`, but it does not pin the underlying Qwen source revision. This release does not infer or substitute an unrecorded revision.
+
+## Scope
+
+Self-contained MTP GGUFs already exist for Qwen-family models. The distinguishing feature of this release is the combination of a Ternary Bonsai 27B trunk and a functional embedded NextN/MTP predictor in one stock-compatible GGUF.
+
+No universal priority claim is made.
+
+## Limitations
+
+- The NextN/MTP layer was grafted from a compatible Qwen3.6-derived donor; it was not jointly trained with the Bonsai trunk.
+- MTP acceptance and speedup depend on prompt, context, sampling, backend, runtime revision, and hardware.
+- Aggressive quantization can reduce quality relative to higher-precision releases.
+- Generated output should be reviewed before use in consequential settings.
+- No claim of statistical superiority over other Bonsai or Qwen releases is made.
+
+## License and attribution
+
+Released under the Apache License 2.0. See `LICENSE` and `NOTICE`.
+
+Upstream attribution is preserved for Prism ML, Qwen/Alibaba Cloud, and the pinned MTP-only package by lym00.

SHA256SUMS

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+cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30  LICENSE
+24ef4aba693e879bb340a538925351beb75f9dc99546a91651157d7f800553d2  NOTICE
+9a8715278cc4ecb47dc73f14a1e9fe07c7257e5660040b3b58f865dadfffb6bc  README.md
+480c695b0de5b78b720d7f500eb3e1650359d0ac8e18c29b231a14b2d9c9bf20  Ternary-Bonsai-27B-MTP-TQ2_0.gguf