--- license: apache-2.0 tags: - moe - frankenmoe - merge - mergekit - lazymergekit - beomi/OPEN-SOLAR-KO-10.7B - hyeogi/SOLAR-10.7B-dpo-v1 base_model: - beomi/OPEN-SOLAR-KO-10.7B - hyeogi/SOLAR-10.7B-dpo-v1 --- # solar_merge_test_1 ## 🧩 Configuration ```yaml base_model: beomi/OPEN-SOLAR-KO-10.7B dtype: float16 experts: - source_model: beomi/OPEN-SOLAR-KO-10.7B positive_prompts: ["당신은 μΉœμ ˆν•œ 보편적인 μ–΄μ‹œμŠ€ν„΄νŠΈμ΄λ‹€."] - source_model: hyeogi/SOLAR-10.7B-dpo-v1 positive_prompts: ["당신은 μ˜³μ€ μ‚¬μ‹€λ§Œμ„ λ§ν•˜λŠ” μ–΄μ‹œμŠ€ν„΄νŠΈμ΄λ‹€."] gate_mode: cheap_embed tokenizer_source: base ``` ## πŸ’» Usage ```python !pip install -qU transformers bitsandbytes accelerate from transformers import AutoTokenizer import transformers import torch model = "jieunhan/solar_merge_test_1-1" tokenizer = AutoTokenizer.from_pretrained(model) pipeline = transformers.pipeline( "text-generation", model=model, model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True}, ) messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}] prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) print(outputs[0]["generated_text"]) ```