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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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tags:
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- moe
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- frankenmoe
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- merge
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- mergekit
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- lazymergekit
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- beomi/OPEN-SOLAR-KO-10.7B
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- hyeogi/SOLAR-10.7B-dpo-v1
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base_model:
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- beomi/OPEN-SOLAR-KO-10.7B
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- hyeogi/SOLAR-10.7B-dpo-v1
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---
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# solar_merge_test_1
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## ๐งฉ Configuration
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```yaml
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base_model: beomi/OPEN-SOLAR-KO-10.7B
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dtype: float16
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experts:
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- source_model: beomi/OPEN-SOLAR-KO-10.7B
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positive_prompts: ["๋น์ ์ ์น์ ํ ๋ณดํธ์ ์ธ ์ด์์คํดํธ์ด๋ค."]
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- source_model: hyeogi/SOLAR-10.7B-dpo-v1
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positive_prompts: ["๋น์ ์ ์ณ์ ์ฌ์ค๋ง์ ๋งํ๋ ์ด์์คํดํธ์ด๋ค."]
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gate_mode: cheap_embed
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tokenizer_source: base
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```
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## ๐ป Usage
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```python
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!pip install -qU transformers bitsandbytes accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "jieunhan/solar_merge_test_1-1"
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tokenizer = AutoTokenizer.from_pretrained(model)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
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)
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messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
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prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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