solar_merge_test_3 / README.md
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metadata
license: apache-2.0
tags:
  - moe
  - frankenmoe
  - merge
  - mergekit
  - lazymergekit
  - yanolja/KoSOLAR-10.7B-v0.2
  - yanolja/Bookworm-10.7B-v0.4-DPO
base_model:
  - yanolja/KoSOLAR-10.7B-v0.2
  - yanolja/Bookworm-10.7B-v0.4-DPO

solar_merge_test_1

🧩 Configuration

base_model: yanolja/KoSOLAR-10.7B-v0.2
dtype: float16
experts:
  - source_model: yanolja/KoSOLAR-10.7B-v0.2
    positive_prompts: ["당신은 μ‚¬λžŒλ“€μ—κ²Œ 도움을 μ£ΌλŠ” μ–΄μ‹œμŠ€ν„΄νŠΈμ΄λ‹€."]
  - source_model: yanolja/Bookworm-10.7B-v0.4-DPO
    positive_prompts: ["당신은 λ‹€λ°©λ©΄μœΌλ‘œ 닡변을 μž˜ν•˜λŠ” μ–΄μ‹œμŠ€ν„΄νŠΈμ΄λ‹€."]
gate_mode: cheap_embed
tokenizer_source: base

πŸ’» Usage

!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "jieunhan/solar_merge_test_3"

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"])