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Browse files- README.md +42 -30
- config.json +2 -2
- mergekit_config.yml +37 -25
- model-00001-of-00002.safetensors +2 -2
- model-00002-of-00002.safetensors +2 -2
README.md
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---
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base_model:
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- bunnycore/Llama-3.2-3B-ProdigyPlusPlus
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- chuanli11/Llama-3.2-3B-Instruct-uncensored
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- meta-llama/Llama-3.2-3B-Instruct
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- huihui-ai/Llama-3.2-3B-Instruct-abliterated
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- meta-llama/Llama-3.2-3B
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library_name: transformers
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tags:
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- mergekit
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## Merge Details
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### Merge Method
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [
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### Models Merged
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The following models were included in the merge:
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* [chuanli11/Llama-3.2-3B-Instruct-uncensored](https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored)
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* [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
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* [
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* [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B)
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### Configuration
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```yaml
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base_model:
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model:
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-
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merge_method_sequence:
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- dare_ties
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- slerp
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- ties
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models:
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- model: meta-llama/Llama-3.2-3B-Instruct
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- model: meta-llama/Llama-3.2-3B
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- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
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- model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
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- model: bunnycore/Llama-3.2-3B-ProdigyPlusPlus
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parameters:
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batch_size: 32
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density: 0.5
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- value: 0.5
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weight: 0.5
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tokenizer_source: union
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```
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---
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base_model:
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+
- meta-llama/Llama-3.2-3B-Instruct
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- bunnycore/Llama-3.2-3B-ProdigyPlusPlus
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- meta-llama/Llama-3.2-3B
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- chuanli11/Llama-3.2-3B-Instruct-uncensored
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- huihui-ai/Llama-3.2-3B-Instruct-abliterated
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library_name: transformers
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tags:
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- mergekit
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## Merge Details
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### Merge Method
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+
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [huihui-ai/Llama-3.2-3B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated) as a base.
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### Models Merged
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The following models were included in the merge:
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* [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
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* [bunnycore/Llama-3.2-3B-ProdigyPlusPlus](https://huggingface.co/bunnycore/Llama-3.2-3B-ProdigyPlusPlus)
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* [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B)
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* [chuanli11/Llama-3.2-3B-Instruct-uncensored](https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored)
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### Configuration
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```yaml
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base_model:
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model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
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layer_range:
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- 0
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- 28
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merge_method: dare_ties
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merge_method_sequence:
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- dare_ties
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- ties
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parameters:
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batch_size: 32
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density: 0.5
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- 0
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- value: 0.5
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weight: 0.5
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slices:
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- sources:
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- density: 0.5
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layer_range:
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- 0
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- 28
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model: meta-llama/Llama-3.2-3B-Instruct
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weight: 0.5
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- density: 0.5
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layer_range:
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- 0
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- 28
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model: meta-llama/Llama-3.2-3B
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weight: 0.5
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- density: 0.5
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layer_range:
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- 0
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- 28
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model: chuanli11/Llama-3.2-3B-Instruct-uncensored
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weight: 0.5
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- density: 0.5
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layer_range:
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- 0
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- 28
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model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
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weight: 0.5
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- density: 0.5
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layer_range:
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- 0
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- 28
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model: bunnycore/Llama-3.2-3B-ProdigyPlusPlus
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weight: 0.5
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tokenizer_source: union
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```
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"LlamaForCausalLM"
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],
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": true,
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"torch_dtype": "
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"transformers_version": "4.45.1",
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"use_cache": true,
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"vocab_size": 128256
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{
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"_name_or_path": "huihui-ai/Llama-3.2-3B-Instruct-abliterated",
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"architectures": [
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"LlamaForCausalLM"
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],
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.1",
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"use_cache": true,
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"vocab_size": 128256
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mergekit_config.yml
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base_model:
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model:
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-
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merge_method_sequence:
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- dare_ties
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- slerp
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- ties
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models:
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- model: meta-llama/Llama-3.2-3B-Instruct
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- model: meta-llama/Llama-3.2-3B
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- model: chuanli11/Llama-3.2-3B-Instruct-uncensored
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- model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
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- model: bunnycore/Llama-3.2-3B-ProdigyPlusPlus
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parameters:
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batch_size: 32
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density: 0.5
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weight: 0.5
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tokenizer_source: union
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base_model:
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model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
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layer_range:
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- 0
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- 28
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merge_method: dare_ties
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merge_method_sequence:
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- dare_ties
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- ties
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parameters:
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batch_size: 32
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density: 0.5
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- 0
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- value: 0.5
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weight: 0.5
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slices:
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- sources:
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- density: 0.5
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layer_range:
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- 0
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model: meta-llama/Llama-3.2-3B-Instruct
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weight: 0.5
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- density: 0.5
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layer_range:
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- 0
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model: meta-llama/Llama-3.2-3B
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weight: 0.5
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- density: 0.5
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layer_range:
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- 0
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model: chuanli11/Llama-3.2-3B-Instruct-uncensored
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weight: 0.5
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- density: 0.5
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layer_range:
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- 0
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model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
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weight: 0.5
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- density: 0.5
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layer_range:
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- 0
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model: bunnycore/Llama-3.2-3B-ProdigyPlusPlus
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weight: 0.5
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tokenizer_source: union
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