Model overview
DeepSeek's refusal direction projected out of the released weights, baked into GGUF builds and measured against the original. **`2.67bpw-IQ1_M` costs knowledge.** It answers without refusals like the other build, but at 1 bit the edit takes MMLU from 85.6% to 81.8% (500 questions, p = 0.003; our gate allows 1.5 points), and it did not pass that gate. With thinking on it also goes round more often (3/30 looping traces at low effort and 5/30 at high on JailbreakBench). It is here for machines with about 140 GB for the weights; if `3.58bpw-Q2_K` fits, take that one. Neutral held-out text, 24 chunks of 4096 tokens, against Unsloth's UD-Q8_K_XL (the converter's BF16 + native MXFP4 output of the released checkpoint) as the reference.
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。