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In a Training Loop 🔄

Andrey

Bochkov

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E6E831728
AVBochkov
andreybochkov

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Bochkov 's collections 3

Emergent Semantics Beyond Token Embeddings

Paper: 2507.04886 (TMLR, Oct 2025). 'Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen Visual Unicode Representations'

Bochkov/emergent-semantics-model-uni-glyph-335m

Text Generation • Updated Jan 7 • 5
Bochkov/emergent-semantics-model-unfrozen-335m

Text Generation • Updated Jan 7 • 2
Bochkov/emergent-semantics-model-16-bit-269m

Text Generation • Updated Jan 7 • 7 • 1
Bochkov/emergent-semantics-model-64-bit-272m

Text Generation • Updated Jan 7 • 6

This collection features frozen, precomputed token embedding tensors designed for experimentation with semantic emergence in language models.

Bochkov/bvv241-2-3

Feature Extraction • Updated Jan 7 • 2
Bochkov/bvv241-max

Feature Extraction • Updated Oct 20, 2025
Bochkov/bvv241-abs

Feature Extraction • Updated Oct 20, 2025 • 1
Bochkov/bvv241-nemo

Feature Extraction • Updated Oct 20, 2025 • 1

Growing Transformers:Layer-wise Expansion Comparative Study

Paper: 2507.07129 'Growing Transformers: Modular Composition and Layer-wise Expansion on a Frozen Substrate' (4.2.2, 5.2. Results)

Bochkov/growing-transformers-model-16-bit-1-9-181m

Text Generation • Updated Jan 9 • 5
Bochkov/growing-transformers-model-unicode-1-9-247m

Text Generation • Updated Jan 4 • 1
Bochkov/growing-transformers-model-unfrozen-1-9-247m

Text Generation • Updated Jan 9 • 5
Bochkov/growing-transformers-model-frozen-16-bit-baseline-monolyth-181m

Text Generation • Updated Jan 9 • 1

Emergent Semantics Beyond Token Embeddings

Paper: 2507.04886 (TMLR, Oct 2025). 'Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen Visual Unicode Representations'

Bochkov/emergent-semantics-model-uni-glyph-335m

Text Generation • Updated Jan 7 • 5
Bochkov/emergent-semantics-model-unfrozen-335m

Text Generation • Updated Jan 7 • 2
Bochkov/emergent-semantics-model-16-bit-269m

Text Generation • Updated Jan 7 • 7 • 1
Bochkov/emergent-semantics-model-64-bit-272m

Text Generation • Updated Jan 7 • 6

Growing Transformers:Layer-wise Expansion Comparative Study

Paper: 2507.07129 'Growing Transformers: Modular Composition and Layer-wise Expansion on a Frozen Substrate' (4.2.2, 5.2. Results)

Bochkov/growing-transformers-model-16-bit-1-9-181m

Text Generation • Updated Jan 9 • 5
Bochkov/growing-transformers-model-unicode-1-9-247m

Text Generation • Updated Jan 4 • 1
Bochkov/growing-transformers-model-unfrozen-1-9-247m

Text Generation • Updated Jan 9 • 5
Bochkov/growing-transformers-model-frozen-16-bit-baseline-monolyth-181m

Text Generation • Updated Jan 9 • 1

This collection features frozen, precomputed token embedding tensors designed for experimentation with semantic emergence in language models.

Bochkov/bvv241-2-3

Feature Extraction • Updated Jan 7 • 2
Bochkov/bvv241-max

Feature Extraction • Updated Oct 20, 2025
Bochkov/bvv241-abs

Feature Extraction • Updated Oct 20, 2025 • 1
Bochkov/bvv241-nemo

Feature Extraction • Updated Oct 20, 2025 • 1

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