grok-oss-Apollyon-8B

Model overview

> *“We took the same unhinged spirit, packed it into a smaller frame, and let it loose. Apollyon 8B is the pocket rocket of uncensored reasoning.”* > — Team Grok OSS **Grok OSS Apollyon 8B** is the compact sibling of our 24B flagship, engineered to deliver the same raw, unaltered conversational power at a fraction of the size. Sharing the identical two‑stage fine‑tuning pipeline—Supervised Fine‑Tuning (SFT) followed by Direct Preference Optimization (DPO) on our proprietary toxicity‑enhanced preference dataset—this model brings **sharp wit, bold takes, and unflinching honesty** to the 8B class, all while maintaining remarkable coherence and factual grounding. The architecture builds upon the **Llama‑3.1‑8B‑Instruct** foundation, which was *abliterated* (i.e., had its alignment/refusal circuitry surgically removed) to serve as an ideal starting point for our unalignment objectives. Our fine‑tuning was performed using the **Unsloth** framework, which enabled memory‑efficient training with minimal performance degradation on consumer‑grade hardware.

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.

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。

Frequently asked questions

Sources & traceability

许可证：other。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。