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TallGemma-Raw
ScienceArtMagic/TallGemma-Raw
TallGemma-Raw is a text generation model from ScienceArtMagic. Use it when you need the model to write or continue text. It is set up for transformers.
This is a merge of pre-trained language models created using mergekit.
All-time downloads
245
Public
Parameters
6.5B
13 GB on disk
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0
Public
Repo makeup
Click a slice to open those files.
.safetensors12.9 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gemma
- Access
- Public
- Created
- Apr 29, 2024
- Updated
- Apr 29, 2024
- SHA
- 3f328da2
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Base models
Model card
From the Hugging Face model README
tallgemma
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: google/gemma-2b
layer_range: [0, 1]
- sources:
- model: google/codegemma-2b
layer_range: [0, 1]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [0, 1]
- sources:
- model: google/gemma-2b
layer_range: [1, 2]
- sources:
- model: google/codegemma-2b
layer_range: [1, 2]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [1, 2]
- sources:
- model: google/gemma-2b
layer_range: [2, 3]
- sources:
- model: google/codegemma-2b
layer_range: [2, 3]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [2, 3]
- sources:
- model: google/gemma-2b
layer_range: [3, 4]
- sources:
- model: google/codegemma-2b
layer_range: [3, 4]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [3, 4]
- sources:
- model: google/gemma-2b
layer_range: [4, 5]
- sources:
- model: google/codegemma-2b
layer_range: [4, 5]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [4, 5]
- sources:
- model: google/gemma-2b
layer_range: [5, 6]
- sources:
- model: google/codegemma-2b
layer_range: [5, 6]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [5, 6]
- sources:
- model: google/gemma-2b
layer_range: [6, 7]
- sources:
- model: google/codegemma-2b
layer_range: [6, 7]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [6, 7]
- sources:
- model: google/gemma-2b
layer_range: [7, 8]
- sources:
- model: google/codegemma-2b
layer_range: [7, 8]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [7, 8]
- sources:
- model: google/gemma-2b
layer_range: [8, 9]
- sources:
- model: google/codegemma-2b
layer_range: [8, 9]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [8, 9]
- sources:
- model: google/gemma-2b
layer_range: [9, 10]
- sources:
- model: google/codegemma-2b
layer_range: [9, 10]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [9, 10]
- sources:
- model: google/gemma-2b
layer_range: [10, 11]
- sources:
- model: google/codegemma-2b
layer_range: [10, 11]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [10, 11]
- sources:
- model: google/gemma-2b
layer_range: [11, 12]
- sources:
- model: google/codegemma-2b
layer_range: [11, 12]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [11, 12]
- sources:
- model: google/gemma-2b
layer_range: [12, 13]
- sources:
- model: google/codegemma-2b
layer_range: [12, 13]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [12, 13]
- sources:
- model: google/gemma-2b
layer_range: [13, 14]
- sources:
- model: google/codegemma-2b
layer_range: [13, 14]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [13, 14]
- sources:
- model: google/gemma-2b
layer_range: [14, 15]
- sources:
- model: google/codegemma-2b
layer_range: [14, 15]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [14, 15]
- sources:
- model: google/gemma-2b
layer_range: [15, 16]
- sources:
- model: google/codegemma-2b
layer_range: [15, 16]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [15, 16]
- sources:
- model: google/gemma-2b
layer_range: [16, 17]
- sources:
- model: google/codegemma-2b
layer_range: [16, 17]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [16, 17]
- sources:
- model: google/gemma-2b
layer_range: [17, 18]
- sources:
- model: google/codegemma-2b
layer_range: [17, 18]
- sources:
- model: google/gemma-1.1-2b-it
layer_range: [17, 18]
merge_method: passthrough
dtype: float16
- Task
- Text Generation
- Library
- transformers
- Type
- gemma
- Created
- Apr 29, 2024
- Updated
- Apr 29, 2024