This is a new kind of model optimization. This model is based on Microsoft's Phi-3-medium-4k-instruct.
A paper on the technique is currently being written.
This research was supported with hardware from the
appliedAI Institute, whose goal is to generate and communicate high-quality knowledge about trustworthy AI.
1import torch
2from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
3
4torch.random.manual_seed(0)
5model_id = "dnhkng/RYS-Phi-3-medium-4k-instruct"
6model = AutoModelForCausalLM.from_pretrained(
7 model_id,
8 device_map="cuda",
9 torch_dtype="auto",
10 trust_remote_code=True,
11)
12tokenizer = AutoTokenizer.from_pretrained(model_id)
13
14messages = [
15 {"role": "user", "content": "Can you provide ways to eat combinations of bananas and dragonfruits?"},
16 {"role": "assistant", "content": "Sure! Here are some ways to eat bananas and dragonfruits together: 1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey. 2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey."},
17 {"role": "user", "content": "What about solving an 2x + 3 = 7 equation?"},
18]
19
20pipe = pipeline(
21 "text-generation",
22 model=model,
23 tokenizer=tokenizer,
24)
25
26generation_args = {
27 "max_new_tokens": 500,
28 "return_full_text": False,
29 "temperature": 0.0,
30 "do_sample": False,
31}
32
33output = pipe(messages, **generation_args)
34print(output[0]['generated_text'])
I’m on the hunt for new challenges and a chance to dive into some exciting research opportunities. Oh, and did I mention I just snagged a top spot on the Open LLM leaderboard? 🎉
Innovation enthusiast, AI strategist, and interdisciplinary-tech nerd – that's me! With over a decade of experience in research and project management, my professional journey has been largely shaped by my passion for artificial intelligence and its potential to transform various industries. With a solid background in artificial intelligence and machine learning, coupled with a knack for innovation and problem-solving (and a healthy dose of curiosity), I'm excited to bring my skills to a new team.
Originally from Australia, where I earned my degrees in Organic Chemistry and Biochemistry, I moved to Germany in 2004. My academic pursuit continued with a PhD in Chemistry at the Max Planck Institute of Biochemistry. Today, I leverage my robust educational background and diverse industry experience to drive AI innovations in a wide range of applications. Hobbies? Lots: I've also built the world's most powerful espresso machine and am working to bring
GLaDOS to life.
I'm based out of Munich, Germany, but I would be interested in working remotely for a team with more compute than my 2x 4090s 🚀
Detailed results can be found
here
