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Introduction of TinyLlama-1.1B-intermediate-step-955k-token-2T-4bit-16rank
Model Details of TinyLlama-1.1B-intermediate-step-955k-token-2T-4bit-16rank
Overview
This is a bare model without any output layer or classification head. It has been quantized to be used for feature extraction tasks.
Usage
This model is intended to be used as a base for training on downstream tasks. In order to use it for predictions and inference, it should be fine-tuned on a specific task with an appropriate output layer or classification head added.
Quantization
The model has been quantized using the following parameters:
Lora alpha: 16
Lora rank: 16
Lora target modules: all-linear
bits: 4
LoftQ iterations: 5
Runs of smallsuper TinyLlama-1.1B-intermediate-step-955k-token-2T-4bit-16rank on huggingface.co
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More Information About TinyLlama-1.1B-intermediate-step-955k-token-2T-4bit-16rank huggingface.co Model
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TinyLlama-1.1B-intermediate-step-955k-token-2T-4bit-16rank is an open source model from GitHub that offers a free installation service, and any user can find TinyLlama-1.1B-intermediate-step-955k-token-2T-4bit-16rank on GitHub to install. At the same time, huggingface.co provides the effect of TinyLlama-1.1B-intermediate-step-955k-token-2T-4bit-16rank install, users can directly use TinyLlama-1.1B-intermediate-step-955k-token-2T-4bit-16rank installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
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