LeroyDyer/Mixtral_AI_CyberLAW

LeroyDyer/Mixtral_AI_CyberLAW_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:

• AdityaXPV/Mistral-7B-law-sage-v0.3
• Severian/ANIMA-Phi-Neptune-Mistral-7B
• LeroyDyer/Mixtral_AI_CyberBrain_3_0
• mb7419/mistral-7b-legal-dpo
• openerotica/mistral-7b-lamia-v0.1b

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: LeroyDyer/Mixtral_AI_CyberBrain_3_0
    parameters:
      density: [0.256, 0.512, 0.128] # density gradient
      weight: 0.382
  - model: Severian/ANIMA-Phi-Neptune-Mistral-7B
    parameters:
      density: 0.382
      weight: [0.256, 0.128, 0.256, 0.128] # weight gradient
  - model: openerotica/mistral-7b-lamia-v0.1b
    parameters:
      density: 0.382
      weight: [0.128, 0.512, 0.128, 0.128] # weight gradient
  - model: mb7419/mistral-7b-legal-dpo
    parameters:
      density: 0.382
      weight: [0.256, 0.256, 0.512, 0.128] # weight gradient
  - model: AdityaXPV/Mistral-7B-law-sage-v0.3
    parameters:
      density: 0.382
      weight: [0.128, 0.512, 0.128, 0.128] # weight gradient
  - model: LeroyDyer/Mixtral_AI_Cyber_5.0
    parameters:
      density: 0.382
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model:  LeroyDyer/Mixtral_AI_Cyber_5.0
parameters:
  normalize: true
  int8_mask: true
dtype: float16

LeroyDyer/Mixtral_AI_Multi_Input_Model