sasha0552/pygmalion-7b-f16
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kLicense:otherArchitecture:Transformer Cold
sasha0552/pygmalion-7b-f16 is a 7 billion parameter language model, converted to float16 from the PygmalionAI/pygmalion-7b model. This model is specifically designed for conversational AI and roleplay applications, leveraging its architecture for generating engaging and contextually relevant dialogue. Its float16 conversion offers potential benefits in memory usage and inference speed for deployment. The model has a context length of 4096 tokens.
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Pygmalion 7B (float16)
This model, sasha0552/pygmalion-7b-f16, is a 7 billion parameter language model derived from the original PygmalionAI/pygmalion-7b. It has been specifically prepared for direct use by converting the XORed weights and transitioning from bfloat16 to float16 precision.
Key Characteristics
- Parameter Count: 7 billion parameters, offering a balance between performance and computational requirements.
- Precision: Converted to float16 (F16), which can lead to reduced memory footprint and potentially faster inference times compared to bfloat16 versions, making it suitable for environments with memory constraints.
- Origin: Based on the PygmalionAI/pygmalion-7b model, which is known for its capabilities in generating conversational and roleplay-oriented text.
Good For
- Conversational AI: Excels at generating human-like dialogue, making it suitable for chatbots and interactive agents.
- Roleplay Scenarios: Its foundation in the PygmalionAI model suggests strong performance in maintaining character consistency and narrative flow for roleplaying applications.
- Resource-Efficient Deployment: The float16 conversion makes it a good candidate for deployment on hardware where memory and speed are critical considerations.