BarryFutureman/WildWest-Variant3-7B

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:8kPublished:Jan 23, 2024License:apache-2.0Architecture:Transformer Open Weights Cold

WildWest-Variant3-7B is a 7 billion parameter language model developed by BarryFutureman, created through a merge of NeuralTurdusVariant1-7B, NeuralDaredevil-7B, WestLake-7B-v2, and Severus-7B-DPO. This model leverages the combined strengths of its constituent models, offering a versatile foundation for various natural language processing tasks. With an 8192-token context length, it is designed for applications requiring robust understanding and generation capabilities.

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Overview

WildWest-Variant3-7B is a 7 billion parameter language model developed by BarryFutureman. It is a merged model, combining the strengths of several distinct base models: NeuralTurdusVariant1-7B, NeuralDaredevil-7B, WestLake-7B-v2, and Severus-7B-DPO. This merging approach aims to synthesize diverse capabilities and knowledge bases into a single, cohesive model.

Key Characteristics

  • Parameter Count: 7 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Supports an 8192-token context window, enabling processing of longer inputs and generating more coherent, extended outputs.
  • Merged Architecture: Built upon a foundation of multiple pre-existing models, suggesting a broad range of potential applications and improved generalization.

Potential Use Cases

  • General Text Generation: Capable of generating human-like text for various purposes, from creative writing to informational content.
  • Conversational AI: Its merged nature may contribute to more nuanced and context-aware dialogue systems.
  • Text Summarization and Analysis: Suitable for tasks requiring understanding and condensing information from longer texts.
  • Fine-tuning Base: Can serve as a strong base model for further fine-tuning on specific downstream tasks due to its diverse origins.

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