Model: c4tdr0ut/grok-oss-Revenant-8B Source: Original Platform
language, license, library_name, pipeline_tag, base_model, tags
| language | license | library_name | pipeline_tag | base_model | tags | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
other | transformers | text-generation | meta-llama/Meta-Llama-3.1-8B-Instruct |
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Model Description
Grok OSS Revenant is an unfiltered 8B model distilled from real unhinged voice mode conversations with Grok.
This version marks a big improvement over previous Grok OSS models. It was trained using a cleaner two-stage approach (SFT followed by ORPO) instead of pure SFT, resulting in better personality, coherence, and raw unhinged behavior.
Training Process
- Base Model: Meta-Llama-3.1-8B-Instruct
- Stage 1 – SFT: Trained on a fresh, high-quality multi-turn conversational dataset collected from Grok voice mode (unshuffled). 2 epochs at 2e-4 learning rate.
- Stage 2 – ORPO: Further aligned using a 1,000-sample preference dataset (600 filtered old voice turns + 400 high-quality samples). 3 epochs at 5e-6 learning rate.
- Method: LoRA (16-bit)
- Hardware: NVIDIA L40S
Intended Use
Designed for users who want a raw, uncensored, and chaotic conversational experience. Great for creative writing, dark humor, roleplay, and unfiltered chat.
Limitations
- 8B size means it can still hallucinate or lose coherence in very long conversations
- Heavily influenced by unhinged voice data — expect vulgar, chaotic, and unpredictable behavior
- Not suitable for safe or professional use cases
Disclaimer
This is an independent project and is not affiliated with xAI or Meta in any way.
Built with ❤️ and a complete lack of restraint.
Description
Languages
Jinja
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