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tinychat-271M-base – AI Model by kali-v | AlphaNeural AI
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tinychat-271M-base
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jax
text-generation
en
HuggingFaceFW/fineweb
HuggingFaceFW/fineweb-edu
wikimedia/wikipedia
mit
us
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tinychat 271M base
An autoregressive Transformer language model:
Embedding size: 1440
Layers: 12
Attention heads: 16 (8 kv heads)
Parameters: 271M
Context length: 512
Vocabulary size: 32,768
Trained for ~50 hours on a single RTX-3090, processing ~5B tokens from:
5M FineWeb articles
5M FineWeb-Edu articles
Simple English Wikipedia
More details
here
Performance (0-shot)
tinychat
gpt2
gpt2-medium
swag
47.3%
48.9%
56.3%
hellaswag
30.7%
29.0%
37.0%
openbookqa
32.8%
28.0%
30.6%