Models
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
1 min read
Sourcer/localllama
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