Undi95/MG-FinalMix-72B is a 72.7 billion parameter language model developed by Undi95, built upon a merge of Qwen/Qwen2-72B-Instruct and alpindale/magnum-72b-v1. This model is specifically retouched and enhanced with additional role-playing (RP) data, aiming to improve performance in conversational and creative generation tasks. With a substantial context length of 131072 tokens, it is optimized for nuanced and extended interactions.
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Undi95/MG-FinalMix-72B: Enhanced 72.7B Parameter Model
Undi95/MG-FinalMix-72B is a 72.7 billion parameter language model, a retouched and enhanced version of alpindale/magnum-72b-v1, built upon a merge that includes Qwen/Qwen2-72B-Instruct. Developed by Undi95, this model incorporates additional role-playing (RP) data to address identified issues and improve conversational capabilities.
Key Capabilities
- Merged Architecture: Combines the strengths of Qwen/Qwen2-72B-Instruct and alpindale/magnum-72b-v1.
- Enhanced Role-Playing: Fine-tuned with extra RP data for more engaging and coherent character interactions.
- Extended Context: Features a significant context length of 131072 tokens, supporting long-form conversations and complex scenarios.
- Custom Quantization Support: Provides an
imatrix.datfile for users to generate their own quantized versions, based onwiki.train.rawdata.
Good For
- Role-Playing Scenarios: Excels in generating detailed and consistent character-driven narratives.
- Creative Writing: Suitable for tasks requiring imaginative and extended text generation.
- Long-form Conversational AI: Its large context window makes it ideal for maintaining coherence over lengthy dialogues.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.