Paxinium-12b-Model_Stock
40
4
—
by
DreadPoor
Language Model
OTHER
12B params
New
40 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
27GB+ RAM
Mobile
Laptop
Server
Quick Summary
This is a merge of pre-trained language models created using mergekit.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
12GB+ RAM
Code Examples
Configurationyaml
base_model: Delta-Vector/Francois-PE-V2-Huali-12B
models:
- model: Delta-Vector/Rei-V3-KTO-12B
- model: redrix/GodSlayer-12B-ABYSS
- model: yamatazen/BlueLight-12B
- model: yamatazen/EtherealAurora-12B-v2
merge_method: model_stock
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Delta-Vector/Francois-PE-V2-Huali-12B
models:
- model: Delta-Vector/Rei-V3-KTO-12B
- model: redrix/GodSlayer-12B-ABYSS
- model: yamatazen/BlueLight-12B
- model: yamatazen/EtherealAurora-12B-v2
merge_method: model_stock
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Delta-Vector/Francois-PE-V2-Huali-12B
models:
- model: Delta-Vector/Rei-V3-KTO-12B
- model: redrix/GodSlayer-12B-ABYSS
- model: yamatazen/BlueLight-12B
- model: yamatazen/EtherealAurora-12B-v2
merge_method: model_stock
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Delta-Vector/Francois-PE-V2-Huali-12B
models:
- model: Delta-Vector/Rei-V3-KTO-12B
- model: redrix/GodSlayer-12B-ABYSS
- model: yamatazen/BlueLight-12B
- model: yamatazen/EtherealAurora-12B-v2
merge_method: model_stock
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Delta-Vector/Francois-PE-V2-Huali-12B
models:
- model: Delta-Vector/Rei-V3-KTO-12B
- model: redrix/GodSlayer-12B-ABYSS
- model: yamatazen/BlueLight-12B
- model: yamatazen/EtherealAurora-12B-v2
merge_method: model_stock
dtype: bfloat16
parameters:
normalize: trueConfigurationyaml
base_model: Delta-Vector/Francois-PE-V2-Huali-12B
models:
- model: Delta-Vector/Rei-V3-KTO-12B
- model: redrix/GodSlayer-12B-ABYSS
- model: yamatazen/BlueLight-12B
- model: yamatazen/EtherealAurora-12B-v2
merge_method: model_stock
dtype: bfloat16
parameters:
normalize: trueDeploy This Model
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