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foss22/pruned32L-RuadaptQwen3-4B-4L
pruned32L-RuadaptQwen3-4B-4L is a text generation model from foss22. Use it when you need the model to write or continue text. It is set up for transformers.
Removing 32 layers from RefalMachine/RuadaptQwen3-4B-Instruct === Original Model: RefalMachine/RuadaptQwen3-4B-Instruct Parameters: 4,007,937,536 Layers: 36
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From the Hugging Face model README
Removing 32 layers from RefalMachine/RuadaptQwen3-4B-Instruct === Original Model: RefalMachine/RuadaptQwen3-4B-Instruct Parameters: 4,007,937,536 Layers: 36
--- Original Model Generation --- Prompt: 'Paris is the capital of' Generated: Paris is the capital of France and one of the world's most visited cities, attracting over 22 million tourists annually. It is renowned for its rich history, iconic landmarks, and vibrant cultural scene. Located in the north-central part of metropolitan France
Prompt: 'The theory of relativity states that' Generated: The theory of relativity states that the speed of light in a vacuum is constant for all observers, regardless of their motion or the motion of the light source. However, when light travels through a medium such as water or glass, its speed decreases.
Removing layers: 100%|██████████| 36/36 [00:00<00:00, 324720.31it/s] --- Pruned Model: RefalMachine/RuadaptQwen3-4B-Instruct Parameters: 778,151,424 Layers: 4
--- Pruning Results --- Parameter reduction: 3,229,786,112 (80.58%) Layer reduction: 32 layers (88.89%)
--- Pruned Model Generation ---
Prompt: 'Paris is the capital of' Generated: Paris is the capital of-flight-flight flight flightflightflight flights flightsflight flight Flight Flight-flight Flight flight-flightflight Flightflight-flight flights flightkuskusorientorientorientationorientation orientation orientation Orientation Orientation orientationorientationOrientationOrientation orientationOrientationorientation orientations orientations OrientationOrientation.Orientation.Orientation
Prompt: 'The theory of relativity states that' Generated: The theory of relativity states thatьюьюистаиста.); emsemsobileobilefractionfraction fractions fractions_fraction_fractionfractionfrafraurgeonurgeonasanasanrelevantrelevant Relevant Relevant relevance relevance-minded-mindednessnessNESSNESSnesnes-addons-addonsellanellanuclear核核
Example 1 completed! Parameter reduction: 80.58%
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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