it seems the run_llama2_sq.py L234: quantization.fit() do smooth_quant and quantize sequentially, can i get smoothed model(FP32) to save before do quantization? if not, can i get best smooth_quant alpha(sq_alpha) by AutoTuneStrategy()._transfer_alpha(), then , reproduce correspondingly...
Please provide that as well, using the 'weights_dir' argument. while if I run it without quantization it works fine: loretoparisi@Loretos-MBP whisper.cpp % python3 models/convert-whisper-to-coreml.py --model tiny.en --encoder-only True scikit-learn version 1.2.2 is not supported. Minimu...
export QUANT_WEIGHT_PATH=/home/quant_weight # Single-chip quantization export ENABLE_QUANT=1 python3 generate_weights.py --model_path ${CHECKPOINT} python3 main.py --mode precision_dataset --model_path ${CHECKPOINT} --ceval_dataset ${DATASET} --batch 8 --device 0 # Dual-chip ...
export_to string exported-model.riva The path to the exported model binary_type string probing Data structure for binary binary_q_bits int 0 Probability bits (quantization) binary_b_bits int 0 Back off bits (quantization) binary_a_bits ...
We assess and compare the few-shot performance of all pretrained encoders on NSCLC subtyping (a) and RCC subtyping task (b), using the same runs (n = 5) in the few-shot setting for ABMIL for K ∈ 1, 2, 4, 8, 16, 32 training examples used per class. We compare performance...
Effects of amplitude quantization on intensity resolution Let f(x,y) be a 2-D image, which for computer processing is digitized both spatially and in amplitude (intensity). Digitization of the spatial coordinates x and y is known as image sampling, while the amplitude digitization is called int...
The finite frequency current response and the zero frequency photo-assisted shot noise are computed using the Keldysh technique, and examples for a single site molecule (a quantum dot) and for a two-site molecule are examined. The model may be useful for the interpretation of recent experiments...
This contribution is a review of the method of isomonodromic quantization of dimensionally reduced gravity. Our approach is based on the complete separation of variables in the isomonodromic sector of the model and the related ``two-time" Hamiltonian structure. This allows an exact quantization in...
The main goal of llama.cpp is to run the LLaMA model using 4-bit integer quantization on a MacBook Plain C/C++ implementation without dependencies Apple silicon first-class citizen - optimized via ARM NEON, Accelerate and Metal frameworks AVX, AVX2 and AVX512 support for x86 architectures Mixed...
DeepCompressor currently supports fake quantization with any integer and floating-point data type within 8 bits, e.g., INT8, INT4 and FP4_E2M1. Here are examples that implement the following algorithms.Post-training quantization for large language models: Weight-only Quantization AWQ (W4A16)...