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README.md
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pipeline_tag: text-generation
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---
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**Base Model**
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- [upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0)
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**Training Corpus**
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- [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs)
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**Explanation**
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- Merge two base models using [mergekit](https://github.com/arcee-ai/mergekit) (slerp)
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- Apply DPO to the merged model, just an adapter part is saved
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- merge the adpater and the merged model
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**Merge Script**
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```
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|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
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|65.96|63.91|84.58|63.18|51.49|82|50.57|
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**Usage**
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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model = AutoModelForCausalLM.from_pretrained(
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"dddsaty/SOLAR_Merge_Adapter_DPO_Orca",
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low_cpu_mem_usage = True,
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torch_dtype = torch.float16,
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device_map = device_map,
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)
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tokenizer = AutoTokenizer.from_pretrained("dddsaty/SOLAR_Merge_Adapter_DPO_Orca")
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```
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**Log**
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- 2024.02.05: Initial version Upload
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**LICENSE**
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Following the upstage/SOLAR-10.7B-Instruct-v1.0 License
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pipeline_tag: text-generation
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---
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**Explanation**
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- Merge two base models using [mergekit](https://github.com/arcee-ai/mergekit) (slerp)
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- Apply DPO to the merged model, just an adapter part is saved
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- merge the adpater and the merged model
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**Base Model**
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- [upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0)
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**Training Corpus**
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- [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs)
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**Merge Script**
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```
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slices:
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|65.96|63.91|84.58|63.18|51.49|82|50.57|
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**Log**
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- 2024.02.05: Initial version Upload
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- 2024.02.10: Readme update
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**LICENSE**
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Following the upstage/SOLAR-10.7B-Instruct-v1.0 License
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