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1base_model: microsoft/phi-2
2experts:
3 - source_model: lxuechen/phi-2-sft
4 positive_prompts:
5 - "chat"
6 - "assistant"
7 - "tell me"
8 - "explain"
9 - source_model: mrm8488/phi-2-coder
10 positive_prompts:
11 - "code"
12 - "python"
13 - "javascript"
14 - "programming"
15 - "algorithm"
16 - source_model: Walmart-the-bag/phi-2-uncensored
17 positive_prompts:
18 - "storywriting"
19 - "write"
20 - "scene"
21 - "story"
22 - "character"
23 - source_model: ArtifactAI/phi-2-arxiv-physics-instruct
24 positive_prompts:
25 - "physics"
26 - "math"
27 - "mathematics"
28 - "solve"
29 - "count"1!pip install -qU transformers bitsandbytes accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "ssands1979/FrankenPhi2-4x"
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"])