Model overview
>MoQ (Mixture of Quants) is a smart way to shrink AI models without losing their "brainpower." Unlike old methods that treat every part of the model the same, MoQ identifies the most important parts and keeps them high-quality, while heavily compressing the rest to save space.****Stop settling for uniform bitrates.** Standard quantization is a relic of the past, treating vital cognitive weights the same as redundant noise. ** --- The result? A model that punches significantly above its weight class. Benjamin Marie evaluated MoQ GGUFs ("Mixture of Quants") against Unsloth Dynamic (UD) quants, focusing on low-bit versions below 4 bits on average — the range where GGUF models typically struggle most. Results: At similar bits-per-weight (Bpw), MoQ outperforms Unsloth Dynamic quants by ~10% on benchmarks, while also being roughly 2× more token-efficient on average. --- | Folder Link | BPW | Total Size | Description | | :--- | :---: | :---: | :--- | | 📂 **BF16** | **16** | **17.92 GB** | 📂 **F16** | **16** | **17.92 GB** | 📂 **MoQ-Quants-Latest** | **3.2** | **3.58 GB** | 📂 **MoQ-Quants-Latest** | **3.6** | **4.03 GB** | 📂 **MoQ-Quants-Latest** | **3.8** | **4.22 GB** | 📂 **MoQ-Quants-Latest** | **4.1** | **4.64 GB** | 📂 **MoQ-Quants-Latest** | **4.3** | **4.84 GB** | 📂 **MoQ-Quants-Latest** | **4.6** | **5.11 GB** | 📂 **MoQ-Quants-Latest** | **4.8** | **5.37 GB** | 📂 **MoQ-Quants-Latest** | **4.9** | **5.49 GB** | 📂 **MoQ-Quants-Latest** | **5.1** | **5.75 GB** | 📂 **MoQ-Quants-Latest** | **5.3** | **5.92 GB** | 📂 **MoQ-Quants-Latest** | **6.6** | **7.36 GB** | 📂 **MoQ-mmproj** | **16.0** | **0.92 GB**
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：mit。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。