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1base_model: vihangd/DopeyTinyLlama-1.1B-v1
2experts:
3 - source_model: vihangd/DopeyTinyLlama-1.1B-v1
4 positive_prompts:
5 - "chat"
6 - "assistant"
7 - "explain"
8 - source_model: phanerozoic/Tiny-Pirate-1.1b-v0.1
9 positive_prompts:
10 - "storywriting"
11 - "scene"
12 - "story"
13 - source_model: Tensoic/TinyLlama-1.1B-3T-openhermes
14 positive_prompts:
15 - "reason"
16 - "instruct"
17 - "count"1!pip install -qU transformers bitsandbytes accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "aipib/Tinyllama-moe1"
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"])