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GemOmniscien-ties
Natch69/GemOmniscien-ties
GemOmniscien-ties is a text generation model from Natch69. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
GemOmniscien-ties is a merge of the following models using mergekit: Warit2/GemOmniscien google/gemma-2b-it
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- gemma
- Access
- Public
- Created
- Apr 3, 2024
- Updated
- Apr 3, 2024
- SHA
- e481d5a7
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Model card
From the Hugging Face model README
GemOmniscien-ties
GemOmniscien-ties is a merge of the following models using mergekit:
🧩 Configuration
```yaml models:
- model: Warit2/GemOmniscien parameters: density: 0.5 weight: 0.5
- model: google/gemma-2b-it parameters: density: 0.5 weight: 0.5 # weight gradient merge_method: ties base_model: Warit2/GemOmniscien parameters: normalize: true int8_mask: true dtype: bfloat16
models:
- model: unsloth/gemma-7b-bnb-4bit
layer_range: [0, 32]
# no parameters necessary for base model
- model: mistralai/Mistral-7B-v0.1
layer_range: [24, 32]
merge_method: passthrough
# base_model: unsloth/gemma-7b-bnb-4bit
parameters:
normalize: true
int8_mask: true
dtype: float16
slices:
- sources:
- model: unsloth/gemma-2b-bnb-4bit
layer_range: [0, 16]
- sources:
- model: NousResearch/Nous-Hermes-llama-2-7b
layer_range: [0, 22]
merge_method: passthrough
dtype: bfloat16
models:
- model: unsloth/gemma-2b-bnb-4bit
parameters:
density: 0.53
weight: 0.45
- model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
parameters:
weight: 0.5
merge_method: ties
base_model: unsloth/gemma-2b-bnb-4bit
parameters:
int8_mask: true
dtype: bfloat16
```
- Task
- Text Generation
- Library
- transformers
- Type
- gemma
- License
- apache-2.0
- Created
- Apr 3, 2024
- Updated
- Apr 3, 2024