200M model status (of course, it is currently a base model, not a chat model):
- The checkpoint has been trained for 300,000 steps (the training objective has been completed); there are no more NaNs, and the logits distribution looks healthy.
- For the prompt “The capital of France is”, the top-6 predictions are the / a / Paris / France / in / also, which is reasonable.
Generation sample quality (temperature 0.85, top-k 40, top-p 0.95, repetition penalty 1.15):
Dimension Performance
General knowledge Weak but can look things up—it knows that Paris is the capital of France, but fabricates population figures and gets directions wrong
English narrative Has coherent storylines (Biz and Zara from Bilin Valley); the influence of TinyStories is clearly visible
Wikipedia style Strong imitation—the title, See also / References / External links structure can all be mimicked
Code The structure looks plausible but the logic is wrong (quicksort is broken); it essentially has no coding ability
Paper citations It can continue “Attention is All You Need” in the style of a Wikipedia entry, but the content is fabricated
PROMPT:
Artificial intelligence is transforming
References
Artificial intelligence is transforming the human brain into an image, and a higher quality of communication. To the best of our knowledge, these changes are not a major factor in the brain's ability to communicate effectively to humans, but can make it easier for people to remember and recognize words they use.
Our team also tried to improve the memory of different subjects with some success, but none of that was done successfully (at
PROMPT:
References
Once upon a time, in a land far away called the "Bilin">Paschia Valley), there lived two best friends named Biz and Zara. They loved exploring their beautiful home, full of tall trees filled with vibrant flowers and ancient trees. One day, they stumbled upon an old map hidden beneath some rocks near the riverbank. It showed them that the region was once considered part of the second most important social and economic
PROMPT:
def quicksort(arr):
with quicksort.list() as a_t:
# find the first element of the array, from which to take the last one
# and reverse it and return it
return arr[0]
else:
# otherwise, just return the last element
return arr[1]
class QuicksortItem(object):
def __init__(self,
PROMPT:
According to a study published in Nature, the average annual rainfall for all the different regions was 675 mm.
See also
References
External links
National Park Service official website
The National Park Service at Global Environmental Data and Statistics
National Park Service: A History, from the World Bank
National Park Service, a national nature-based agency
National Park Service website
Parks in
PROMPT:
The Transformer architecture, introduced in the paper Attention is All You Need, is a software tool for transforming high-level (or low-level) computer programs into a "a." The name of the tool was first used by the authors of the paper and its author.
References
External links
A book about Fauche's work, from Czaszczyński's , the official article on the free source