Model Overview Model Architecture: Qwen2ForCausalLM Input: Text Output: Text Model Optimizations: Weight quantization: FP8 Activation quantization: FP8 Release Date: 11/28/2024 Version: 1.0 Model Developers: Red Hat Quantized version of Qwen/Qwen2.5 Coder 14B Instruct. Model Optimizations This model was obtained by quantizing the weights and activations of Qwen/Qwen2.5 Coder 14B Instruct to FP8 data type. This optimization reduces the number of bits per parameter from 16 to 8, reducing the disk size and GPU memory requirements by approximately 50%. Only the weights and activations of the linear operators within transformers blocks are quantized. Deployment Use with vLLM 1. Initialize vLLM server: 2. Send requests to the server: Creation This model was created with llm compressor by running the code snippet below. Model Creation Code
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy