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.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
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。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
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。