LeroyDyer/Mixtral_AI_Cyber_Dolphin_2.0

LeroyDyer/Mixtral_AI_Cyber_Dolphin_2.0_7b

This Expert is a companon to the MEGA_MIND 24b CyberSeries represents a groundbreaking leap in the realm of language models, integrating a diverse array of expert models into a unified framework. At its core lies the Mistral-7B-Instruct-v0.2, a refined instructional model designed for versatility and efficiency.

Enhanced with an expanded context window and advanced routing mechanisms, the Mistral-7B-Instruct-v0.2 exemplifies the power of Mixture of Experts, allowing seamless integration of specialized sub-models. This architecture facilitates unparalleled performance and scalability, enabling the CyberSeries to tackle a myriad of tasks with unparalleled speed and accuracy.

Among its illustrious sub-models, the OpenOrca - Mistral-7B-8k shines as a testament to fine-tuning excellence, boasting top-ranking performance in its class. Meanwhile, the Hermes 2 Pro introduces cutting-edge capabilities such as Function Calling and JSON Mode, catering to diverse application needs.

Driven by Reinforcement Learning from AI Feedback, the Starling-LM-7B-beta demonstrates remarkable adaptability and optimization, while the Phi-1.5 Transformer model stands as a beacon of excellence across various domains, from common sense reasoning to medical inference.

With models like BioMistral tailored specifically for medical applications and Nous-Yarn-Mistral-7b-128k excelling in handling long-context data, the MEGA_MIND 24b CyberSeries emerges as a transformative force in the landscape of language understanding and artificial intelligence.

Experience the future of language models with the MEGA_MIND 24b CyberSeries, where innovation meets performance, and possibilities are limitless.

Models Merged

The following models were included in the merge:

• liminerity/Mistral-quiet-star-ascii-demo
• invalid-coder/dolphin-2.1-mistral-7b-snr-math-laser
• liminerity/Mistral-quiet-star-demo
• Crystalcareai/Mistral-Evol-Coder
• cognitivecomputations/dolphin-2.8-mistral-7b-v02

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: liminerity/Mistral-quiet-star-ascii-demo
    parameters:
      density: [0.256, 0.512, 0.128] # density gradient
      weight: 0.382
  - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
    parameters:
      density: 0.382
      weight: [0.256, 0.128, 0.256, 0.128] # weight gradient
  - model: invalid-coder/dolphin-2.1-mistral-7b-snr-math-laser
    parameters:
      density: 0.382
      weight: [0.128, 0.512, 0.128, 0.128] # weight gradient
  - model: Crystalcareai/Mistral-Evol-Coder
    parameters:
      density: 0.382
      weight: [0.256, 0.256, 0.512, 0.128] # weight gradient
  - model:  liminerity/Mistral-quiet-star-demo
    parameters:
      density: 0.382
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: LeroyDyer/Mixtral_AI_Cyber_Dolphin
parameters:
  normalize: true
  int8_mask: true
dtype: float16