Megadolphin 120B - Details

Megadolphin 120B is a large language model developed by the community-driven initiative Cognitive Computations, featuring 120 billion parameters to enable advanced language understanding and generation. It operates under the Llama 2 Community License Agreement, allowing flexible use while adhering to community guidelines. The model emphasizes enhancing empathy and conversation skills, prioritizing natural and engaging interactions while maintaining uncensored outputs to support open dialogue.

Megadolphin-2.2-120b is a transformation of Dolphin-2.2-70b, inspired by Venus-120b, with interleaved self-modeling to enhance performance. It integrates conversation and empathy features, infused with curated Samantha and WizardLM DNA for personal advice and emotional engagement. The model is uncensored but includes dataset filtering to remove alignment and bias, requiring users to implement their own alignment layer before deployment. It emphasizes compliance and responsible use while prioritizing natural, open dialogue.

Megadolphin 120B features 120b parameters, placing it in the very large models category, which excels at complex tasks but demands significant computational resources. Its 16k context length falls into the long contexts range, enabling extended text handling but requiring more memory and processing power. These specifications allow the model to manage intricate conversations and lengthy inputs while emphasizing the need for robust infrastructure to support its capabilities.

• Name: Megadolphin 120B
• Parameter Size: 120b
• Context Length: 16k
• Implications: Very large models for complex tasks, long contexts for extended text, both requiring substantial resources.

Megadolphin 120B is a large language model designed for conversational AI with empathy, roleplay and character simulation, and creative problem-solving and tutorials. Its 120b parameter size and 16k context length suggest it could support possible applications in generating nuanced dialogue, simulating dynamic interactions, or assisting with complex learning scenarios. However, these possible uses would require careful evaluation to ensure alignment with specific goals and ethical considerations. The model’s uncensored nature and focus on empathy and open dialogue might also enable potential uses in collaborative creative projects or adaptive educational tools, though further research would be needed to confirm effectiveness.

• Name: Megadolphin 120B
• Purpose: Conversational AI with empathy, roleplay and character simulation, creative problem-solving and tutorials
• Other Important Info: Requires thorough investigation for specific applications, uncensored outputs with dataset filtering

Megadolphin 120B is a large-scale language model with possible applications in conversational AI with empathy, roleplay and character simulation, creative problem-solving, and interactive tutorials. Its 120b parameter size and 16k context length suggest possible uses for generating nuanced, context-aware interactions or supporting complex, dynamic scenarios. Possible applications might include adaptive learning environments, collaborative creative projects, or immersive storytelling experiences, though these possible uses would require careful validation to ensure alignment with specific goals. Possible applications in open-ended dialogue or simulation-based training could also emerge, but each possible use must be thoroughly evaluated to address technical and ethical considerations.

• Name: Megadolphin 120B
• Possible Applications: conversational AI with empathy, roleplay and character simulation, creative problem-solving, interactive tutorials
• Other Important Info: Requires thorough evaluation before deployment, uncensored outputs with dataset filtering

Megadolphin 120B’s medium q4 version balances precision and performance, requiring a GPU with at least 24GB VRAM for efficient operation, though higher-end systems may be necessary for optimal results. This quantization reduces memory demands compared to full-precision versions, making it possible to run on mid-to-high-end GPUs, but users should verify compatibility with their hardware. Other important info includes the need for at least 32GB RAM and adequate cooling.

• Name: Megadolphin 120B
• Quantized Versions: fp16, q2, q3, q4, q5, q6, q8
• Other Important Info: Hardware requirements vary by quantization, with q4 optimized for balance between performance and resource usage.

Megadolphin 120B is a large language model with 120b parameters and a 16k context length, developed by Cognitive Computations to prioritize conversational empathy, roleplay, and creative problem-solving. It operates with uncensored outputs and requires dataset filtering to reduce bias, making it suitable for possible applications in interactive tutorials, dynamic simulations, and open-ended dialogue systems, though further evaluation is needed for specific use cases.

Huggingface Model Page
Ollama Model Page