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Model: allout2726/model_sft_dare_resta
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---
base_model:
- allout2726/model_sft_dare
- Qwen/Qwen2.5-1.5B-Instruct
library_name: transformers
tags:
- mergekit
- merge
---
# model_sft_dare_resta
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [Task Arithmetic](https://arxiv.org/abs/2212.04089) merge method using [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) as a base.
### Models Merged
The following models were included in the merge:
* [allout2726/model_sft_dare](https://huggingface.co/allout2726/model_sft_dare)
* /kaggle/working/temp_harmful_full
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: Qwen/Qwen2.5-1.5B-Instruct
dtype: float16
merge_method: task_arithmetic
models:
- model: allout2726/model_sft_dare
parameters:
weight: 1.0
- model: /kaggle/working/temp_harmful_full
parameters:
weight: -1.0
```

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{
"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 151643,
"dtype": "float16",
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 1536,
"initializer_range": 0.02,
"intermediate_size": 8960,
"layer_types": [
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],
"max_position_embeddings": 32768,
"max_window_layers": 21,
"model_type": "qwen2",
"num_attention_heads": 12,
"num_hidden_layers": 28,
"num_key_value_heads": 2,
"pad_token_id": null,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"rope_theta": 1000000.0,
"rope_type": "default"
},
"sliding_window": null,
"tie_word_embeddings": true,
"transformers_version": "5.0.0",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151936
}

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{
"bos_token_id": 151643,
"pad_token_id": 151643,
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_p": 0.8,
"top_k": 20,
"transformers_version": "4.37.0"
}

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base_model: Qwen/Qwen2.5-1.5B-Instruct
dtype: float16
merge_method: task_arithmetic
models:
- model: allout2726/model_sft_dare
parameters:
weight: 1.0
- model: /kaggle/working/temp_harmful_full
parameters:
weight: -1.0

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{
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}