Model Compression & Acceleration Module for sageLLM
Project description
sagellm-compression
Protocol Compliance (Mandatory)
- MUST follow Protocol v0.1: https://github.com/intellistream/sagellm-docs/blob/main/docs/specs/protocol_v0.1.md
- Any globally shared definitions (fields, error codes, metrics, IDs, schemas) MUST be added to Protocol first.
Inference acceleration tools for LLM: quantization, sparsity, speculative decoding, kernel fusion, and more.
Features
- Quantization (INT8/INT4)
- Sparsity (structured and unstructured pruning)
- Speculative decoding
- Kernel fusion
- Chain-of-Thought acceleration
Installation
pip install isagellm-compression
Quick Start
from sagellm_compression import QuantizationConfig, apply_quantization
config = QuantizationConfig(method="int8", per_channel=True)
quantized_model = apply_quantization(model, config)
Development
git clone git@github.com:intellistream/sagellm-compression.git
cd sagellm-compression
./quickstart.sh
pip install -e ".[dev]"
pytest tests/ -v
Documentation
License
Private - IntelliStream Research Project
Project details
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