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RichardErkhov/Citaman_-_command-r-7-layer-4bits
Citaman_-_command-r-7-layer-4bits 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
14
44% of all-time downloads
All-time downloads
32
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Parameters
7.9B
7.5 GB on disk
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Public
Click a slice to open those files.
.safetensors7.4 GB · 100%
How the weights are stored.
U85.8B · 72%
From the Hugging Face model README
Quantization made by Richard Erkhov.
command-r-7-layer - bnb 4bits
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: Citaman/command-r-8-layer
layer_range: [0, 7]
- model: Citaman/command-r-8-layer
layer_range: [1, 8]
merge_method: slerp
base_model: Citaman/command-r-8-layer
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16