Model overview
> prithivMLmods/Qwen3.5 Unredacted-MAX models (0.8B, 2B, 4B, 9B, 27B variants) are experimental "abliterated" evolution of Alibaba's official Qwen3.5 series, applying advanced refusal-minimization techniques to remove safety alignments and internal censorship patterns while preserving or enhancing core reasoning, coding, math, and multimodal capabilities across scales. Created by prithivMLmods as part of their "Unredacted MAX" collection—similar to their Qwen3-VL abliterated releases like Qwen3-VL-8B-Instruct-Unredacted-MAX—these models undergo continual "abliteration" training for unrestricted instruction adherence, dense output generation, and reduced hallucinations on diverse prompts without standard safety refusals, making them suitable for edge deployment (FP8/GGUF quants available) in research, dataset creation, or applications needing uncensored reasoning. Scaling from ultra-light 0.8B (mobile/Pi) to powerful 27B, they retain Qwen3.5's hybrid Gated DeltaNet architecture, 262K context, 201-language vocab, and toggleable thinking modes while prioritizing raw capability over guardrails, outperforming vanilla counterparts in open-ended tasks per community benchmarks though lacking official evaluations. (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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。