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1base_model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
2dtype: float16
3gate_mode: cheap_embed
4experts:
5 - source_model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
6 positive_prompts: ["You are a helpful general assistant."]
7 - source_model: upstage/SOLAR-10.7B-Instruct-v1.0
8 positive_prompts: ["You are assistant for question and answering."]1!pip install -qU transformers bitsandbytes accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "NotAiLOL/Boundary-Solar-Chat-2x10.7B-MoE"
8
9tokenizer = AutoTokenizer.from_pretrained(model)
10pipeline = transformers.pipeline(
11 "text-generation",
12 model=model,
13 model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
14)
15
16messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
17prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
18outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
19print(outputs[0]["generated_text"])