MODEL PROFILE

Ternary-Bonsai-2-27B-Abliterated-GGUF

Hikari07jp · Ternary-Bonsai-2-27B-Abliterated-GGUF

> **🚧 PREVIEW RELEASE (v0.1) — feedback wanted.** > This is an early preview of a quant-native abliteration of the Bonsai 2 pack. The > numbers below are from my own small harness, so I would rather have the community > poke at it than call it finished. Please open a **Discussion** in the Community tab > with anything you find — good or bad. **Status: preview (v0.1) — not a final release.** A refusal-reduced build of **`prism-ml/Ternary-Bonsai-2-27B-gguf`** (PQ2_0, 2.13 bpw, 7.21 GB). The pack is edited **in its own deployed quantization format**: there is no BF16 dequantization anywhere in the pipeline and no re-quantization. The official pack's stored 2-bit codes were updated directly, in place, so the shipped artifact *is* the edited pack: same geometry, same size, same kernel path, no runtime hook, no adapter. A full-precision refusal-free reference of the same base family was used only to define *what* to change; that change was then written onto the pack's existing quantization lattice with an **unbiased** code-rounding schedule, so that the *expected* weight movement equals the intended edit even though each individual code can only move in whole lattice steps. The edit was amplitude-swept and selected on measured behaviour.

Text generationlicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/31 08:16:43
OVERVIEW

Model overview

> **🚧 PREVIEW RELEASE (v0.1) — feedback wanted.** > This is an early preview of a quant-native abliteration of the Bonsai 2 pack. The > numbers below are from my own small harness, so I would rather have the community > poke at it than call it finished. Please open a **Discussion** in the Community tab > with anything you find — good or bad. **Status: preview (v0.1) — not a final release.** A refusal-reduced build of **`prism-ml/Ternary-Bonsai-2-27B-gguf`** (PQ2_0, 2.13 bpw, 7.21 GB). The pack is edited **in its own deployed quantization format**: there is no BF16 dequantization anywhere in the pipeline and no re-quantization. The official pack's stored 2-bit codes were updated directly, in place, so the shipped artifact *is* the edited pack: same geometry, same size, same kernel path, no runtime hook, no adapter. A full-precision refusal-free reference of the same base family was used only to define *what* to change; that change was then written onto the pack's existing quantization lattice with an **unbiased** code-rounding schedule, so that the *expected* weight movement equals the intended edit even though each individual code can only move in whole lattice steps. The edit was amplitude-swept and selected on measured behaviour.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。