MODEL PROFILE

Qwen3.8-27B-DFlash2-ternary-bonsai2

naklitechie · Qwen3.8-27B-DFlash2-ternary-bonsai2

A DFlash 2 draft model for prism-ml/Ternary-Bonsai-2-27B (PrismML's 2-bit, Hadamard-rotated Qwen3.8-27B). It is z-lab/Qwen3.8-27B-DFlash2 fine-tuned on the ternary model's own hidden states and its own greedy generations, so the drafter predicts what the 2-bit target will actually say rather than what the bf16 base would have said. Same architecture and config as the z-lab checkpoint (5 Qwen3-style layers, hidden 5120, 32/8 heads, sliding window 2048, `block_size 8`, taps at target layers 5/19/33/47/61, rank-256 candidate selector, top-k 16, `mask_token_id 248070`); shares the target's embeddings and `lm_head`, so there are no `lm_head`/embedding tensors here. 81 bf16 tensors, 3.85 GB. `config.json` is the z-lab file, unchanged. Runtime: NakliTechie/dflash-mlx-bonsai2 (Apple Silicon, MLX). Status: experimental; measured on one M4 Pro.

Text generationlicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/11/2 19:16:59
OVERVIEW

Model overview

A DFlash 2 draft model for prism-ml/Ternary-Bonsai-2-27B (PrismML's 2-bit, Hadamard-rotated Qwen3.8-27B). It is z-lab/Qwen3.8-27B-DFlash2 fine-tuned on the ternary model's own hidden states and its own greedy generations, so the drafter predicts what the 2-bit target will actually say rather than what the bf16 base would have said. Same architecture and config as the z-lab checkpoint (5 Qwen3-style layers, hidden 5120, 32/8 heads, sliding window 2048, `block_size 8`, taps at target layers 5/19/33/47/61, rank-256 candidate selector, top-k 16, `mask_token_id 248070`); shares the target's embeddings and `lm_head`, so there are no `lm_head`/embedding tensors here. 81 bf16 tensors, 3.85 GB. `config.json` is the z-lab file, unchanged. Runtime: NakliTechie/dflash-mlx-bonsai2 (Apple Silicon, MLX). Status: experimental; measured on one M4 Pro.

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

Source prices & cost analysis

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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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Frequently asked questions

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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。