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RichardErkhov/Sakalti_-_lakeland-awq
Sakalti_-_lakeland-awq is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
19
50% of all-time downloads
All-time downloads
38
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494M
458 MB on disk
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.safetensors458 MB · 99%
How the weights are stored.
I32358M · 72%
From the Hugging Face model README
Quantization made by Richard Erkhov.
lakeland - AWQ
base_model:
This is a merge of pre-trained language models created using mergekit.
This model was merged using the SLERP merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Youlln/ECE-Qwen0.5B-FT-V2
layer_range: [0, 24]
- model: Qwen/Qwen2.5-0.5B-Instruct
layer_range: [0, 24]
merge_method: slerp
base_model: Youlln/ECE-Qwen0.5B-FT-V2
parameters:
t:
- value: 0.7 # Ajuste pour prioriser ton modèle
dtype: float16