lyraChatGLM
Maintainer: TMElyralab
108
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
lyraChatGLM is the fastest available version of the ChatGLM-6B model. It has achieved a 300x acceleration over the original model through various optimizations. The model uses the original ChatGLM-6B weights released by THUDM and is designed to run on Nvidia GPUs with Ampere or Volta architecture, such as the A100, A10, and V100. The maximum batch size supported by lyraChatGLM is 256 on the A100, a significant improvement over the original model.
Model inputs and outputs
Inputs
- Text prompts for conversational interactions
Outputs
- Responses to the provided text prompts, generated in a conversational style
Capabilities
lyraChatGLM has been further optimized to reach speeds of up to 9000 tokens/s on the A100 and 3900 tokens/s on the V100, around 5.5x faster than the up-to-date official version. The memory usage has also been optimized, allowing for a batch size of up to 256 on the A100.
What can I use it for?
The maintainer's description indicates that lyraChatGLM is suitable for a wide range of conversational AI applications. Its high performance and low memory requirements make it an attractive option for deploying large language models in production environments. Companies or individuals working on chatbots, virtual assistants, or other conversational AI projects may find lyraChatGLM a valuable tool.
Things to try
One interesting aspect of lyraChatGLM is its support for INT8 weight-only post-training quantization (PTQ). This allows for further memory and performance optimizations, which could be beneficial for deploying the model on lower-end hardware or in resource-constrained environments.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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