MarinaraSpaghetti/NemoMix-Unleashed-12B
NemoMix-Unleashed-12B by MarinaraSpaghetti is a 12 billion parameter language model merge, built upon the Mistral-Nemo-Base-2407 architecture with a 32768 token context length. This model is specifically optimized to reduce repetition at higher contexts, making it particularly effective for roleplay and storytelling applications. It integrates components from various Mistral-based models, including those from Intervitens, Sao10K, and Nbeerbower, to enhance its generative capabilities.
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NemoMix-Unleashed-12B Overview
NemoMix-Unleashed-12B is a 12 billion parameter language model merge developed by MarinaraSpaghetti, utilizing the della_linear merge method with mistralaiMistral-Nemo-Base-2407 as its foundational model. This merge incorporates several Mistral-based models, including intervitens_mini-magnum-12b-v1.1, nbeerbower_mistral-nemo-bophades-12B, Sao10K_MN-12B-Lyra-v1, and nbeerbower_mistral-nemo-gutenberg-12B, alongside mistralaiMistral-Nemo-Instruct-2407.
Key Capabilities & Features
- Reduced Repetition: Engineered to exhibit less repetition, especially in longer contexts, addressing a common challenge in merged models.
- Enhanced Generative Quality: Aims to provide a more fluid and coherent generation experience compared to previous merge attempts.
- Optimized for Creative Tasks: Demonstrates strong performance in creative applications such as roleplay and storytelling.
- Mistral Instruct Format: Utilizes the Mistral Instruct chat format, with specific guidance provided for correct implementation.
Recommended Usage
- Temperature Settings: Recommended temperature range of 1.0-1.25, with 0.1 Top A or 0.01-0.1 Min P, and 0.8/1.75/2/0 DRY for optimal output.
- Context Length: Designed to perform well with its 32768 token context length, particularly benefiting from its repetition reduction at higher contexts.
This model is a result of extensive experimentation to refine merge techniques and improve generative consistency.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.