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Question about the accuracy of smaller checkpoints #150
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Also, funny stuff that I have found. Just use lowercase names, and you will get the real bias. Lowercased:
Capitilized "Joe Rogan":
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at least 7B if you want ChatGPT-level :) |
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Hey! Thanks for this amazing project.
I have a question.
Looking at the following outputs for 0.1B and 0.4B:
Model: RWKV-4-World-0.1B-v1-20230520-ctx4096.pth
Output tokens: 1024
Code: https://github.com/BlinkDL/ChatRWKV/blob/main/v2/benchmark_world.py
When I used the bigger model (0.4B) it is able to answer correctly:
Which amount of parameter would you define as "Good enough" that reaches the level (approx.) of ChatGPT?
Is it 14B like in the README exmaple chat?
What is your opinion (state) of 1B or 3B+?
Currently latency is not an issue, I am focusing on applicable acc. and trying I am looking for some comparisons for the smaller models.
Thanks a lot.
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