Qwen3.8-27B-Ternary-Bonsai-2-DFlash2-MLX

模型介绍

Prism ML's ternary `Ternary-Bonsai-2-27B` build of `Qwen/Qwen3.8-27B`, repacked for chad, a Claude-Code-style local coding agent for Apple Silicon, **with its speculative decoder bundled in**. This is chad's default model. Created using Bonsai by Prism ML. One download gets both halves: the ternary target model and the block drafter it decodes with, already quantized. Nothing is built on first run. Every projection of Qwen3.8-27B (a dense `qwen3_5` hybrid: 64 layers, 48 GatedDeltaNet + 16 full attention) is stored in a **Hadamard-rotated basis**: multiplied by a fixed sign vector and put through a blockwise Walsh-Hadamard transform offline, then quantized to 2-bit affine group-128 whose three levels reproduce the ternary set {−s, 0, +s}. The rotation costs no extra bits and no extra weight traffic, but the matching transform must be applied to the activations at runtime and inverted after the embedding lookup. **An ordinary MLX affine loader finds tensors of exactly the right shapes, skips both transforms, and produces plausible garbage without raising.** chad routes the pack on its `model_type` (`prism_hadamard_qwen35`) to a loader that does the rotation; mlx-lm alone will not run it correctly.

主要特点

特点摘要待依据来源补齐，不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价，不将渠道价格视为厂商官方统一价格。

公开评测与运行配置

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。

常见问题

资料来源与可追溯记录

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。