Model overview
**The MTP head is kept.** That is the point of this repository. The existing abliteration of this model on the Hub ships 427 tensors and 32 layers — the `blk.32.nextn.*` block is gone, and with it llama.cpp's `--spec-type draft-mtp`. This conversion keeps all 442 tensors and 33 blocks, so speculative decoding works: measured ~73 tok/s generation with it (draft acceptance 0.73), on an RTX 3060. The published abliteration of this model (`rohit267/Qwen3.8-9B-heretic-uncensored`) reports 98/100 refusals against the original's 100/100 — two refusals removed, at KL 0.0008. It barely changed the model, and it dropped the MTP head. This run optimised further and preserved the head. `--jinja` matters: the chat template inside the GGUF carries `tools` and ` `, so function calling works and the model can drive an agent.
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。