jaspionjader/Kosmos-EVAA-Franken-Immersive-v41-8B
Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Jan 15, 2025Architecture:Transformer0.0K Warm

jaspionjader/Kosmos-EVAA-Franken-Immersive-v41-8B is an 8 billion parameter language model created by jaspionjader through a SLERP merge of jaspionjader/knfp-2-8b and jaspionjader/Kosmos-EVAA-Franken-Immersive-v40-8B. This model is a merged iteration, building upon previous versions to potentially enhance its generative capabilities. It is designed for general language generation tasks, leveraging the combined strengths of its constituent models.

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Model Overview

jaspionjader/Kosmos-EVAA-Franken-Immersive-v41-8B is an 8 billion parameter language model developed by jaspionjader. This model is a product of a SLERP merge using mergekit, combining two distinct base models: jaspionjader/knfp-2-8b and jaspionjader/Kosmos-EVAA-Franken-Immersive-v40-8B.

Merge Details

The merge process involved specific weighting parameters applied to the self-attention (self_attn) and multi-layer perceptron (mlp) components across the 32 layers of the constituent models. The base model for the merge was jaspionjader/Kosmos-EVAA-Franken-Immersive-v40-8B, with the final model configured to use bfloat16 data type.

Key Characteristics

  • Merged Architecture: Leverages the SLERP method to combine the strengths of two pre-trained 8B models.
  • Iterative Development: Represents a new version in the 'Kosmos-EVAA-Franken-Immersive' series, suggesting continuous refinement.

Potential Use Cases

This model is suitable for a variety of general-purpose language generation tasks, benefiting from the blended characteristics of its merged components. Developers can explore its capabilities for creative text generation, conversational AI, and other applications where a robust 8B parameter model is desired.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
min_p