ChatGLM-6B-INT8
| Property | Value |
|---|---|
| Parameters | 6 Billion |
| License | Apache-2.0 (code), Custom License (weights) |
| Paper | arXiv:2406.12793 |
| Languages | Chinese, English |
| Quantization | INT8 |
What is chatglm-6b-int8?
ChatGLM-6B-INT8 is a quantized version of the ChatGLM-6B model, specifically designed for efficient deployment on devices with limited resources. Built on the General Language Model (GLM) architecture, this model has been optimized through INT8 quantization of its 28 GLM Blocks, enabling operation on devices with as little as 8GB of memory.
Implementation Details
The model leverages advanced quantization techniques while maintaining performance by selectively quantizing core components. The embedding layer and LM Head remain in their original precision, while the 28 GLM Blocks are converted to INT8, achieving an optimal balance between efficiency and accuracy.
- Trained on approximately 1T tokens in Chinese and English
- Implements supervised fine-tuning and human feedback reinforcement learning
- Automatic CPU kernel compilation with OpenMP support
- Requires minimal dependencies (protobuf, transformers 4.27.1, cpm_kernels)
Core Capabilities
- Bilingual dialogue generation in Chinese and English
- Efficient operation on consumer-grade hardware
- Potential for embedded device deployment (e.g., Raspberry Pi)
- Automated CPU optimization for various hardware configurations
Frequently Asked Questions
Q: What makes this model unique?
The model's INT8 quantization enables high-performance operation on consumer hardware while maintaining bilingual capabilities, making it particularly suitable for resource-constrained environments.
Q: What are the recommended use cases?
This model is ideal for deployments where memory efficiency is crucial, such as edge devices, consumer PCs, or servers requiring multiple model instances. It's particularly well-suited for Chinese-English bilingual applications requiring natural language understanding and generation.
