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RichardErkhov/Sakalti_-_mont-normal-awq
Sakalti_-_mont-normal-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
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5% of all-time downloads
All-time downloads
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.safetensors358 MB · 96%
How the weights are stored.
I32164M · 55%
From the Hugging Face model README
Quantization made by Richard Erkhov.
mont-normal - AWQ
base_model:
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using Qwen/Qwen2.5-0.5B-Instruct as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Qwen/Qwen2.5-0.5B-Instruct
layer_range: [0, 11]
- model: Qwen/Qwen2.5-0.5B-Instruct
layer_range: [12, 23]
merge_method: ties
base_model: Qwen/Qwen2.5-0.5B-Instruct
parameters:
t:
- filter: self_attn
value: [0.1, 0.3, 0.5, 0.7, 0.9]
- filter: mlp
value: [0.1, 0.3, 0.5, 0.7, 0.9]
- value: 0.5
dtype: bfloat16