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SupraLabs releases Supra-50M, a 50M-parameter model trained on 20B tokens

SupraLabs released Supra-50M, a 50-million-parameter language model trained on 20 billion tokens of educational text. The model outperforms larger competitors on several benchmarks despite being 2.5× smaller than

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SupraLabs released Supra-50M, a 50-million-parameter causal language model built from scratch using a Llama-style architecture. The model comes in Base and Instruct versions and represents the first entry in SupraLabs' Scaling Up Plan, with larger variants (124M a...

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Method & sources
Source type
Primary publication (lab/vendor blog) — our analysis + implication
Source link
r/localllama
Published
UTC
Byline
By the gotcontext.ai team (editorial standards)
Correction?
corrections@gotcontext.ai
SupraLabs releases Supra-50M, a 50M-parameter model trained on 20B tokens — gotcontext.ai