Model overview
**TTQ** (TokenTinkerer Quant) is a ten-rung GGUF ladder built from HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive, from 3.33 bpw to 6.72 bpw. Every rung was measured on the same machine, with the same protocol, against the same reference — and every claim below is a measurement, not an estimate. > **Source caveat — there is no full-precision release of this model.** The fine-tune is published > **only as GGUF**; no F16/BF16 weights exist. The highest-quality source available is therefore > upstream's `Q8_K_P` (~10 bpw), and it serves as **both** the requantization source for every rung > here **and** the reference against which all KLD / RMS figures are measured. Two consequences: > every quality number below is relative to *that file* rather than to the true full-precision > model, and an unknown fraction of each measured divergence is inherited from it and cannot be > separated without a full-precision source. Comparisons *between* files remain valid, because they > all share the same reference. The full-precision `Qwen/Qwen3.6-35B-A3B` base model is not a > substitute — the fine-tune is a different model. The point of the set is **efficiency at a given size**, and it holds two ways. Every rung beats the base repository's **nearest-size** quant on KLD — by **1.26× to 3.51×**. And every rung's **nearest-quality** partner there is a **1.44 to 7.90 GiB larger file**. The matched pairings below are also faster: **+6% to +19% decode**, **+28% to +80% prefill**. All with significance shown.
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。