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@ -8,7 +8,7 @@ Notable features:
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- norm after token embedding
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- norm after token embedding
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- no learnable params in rmsnorm
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- no learnable params in rmsnorm
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- no bias in linear layers
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- no bias in linear layers
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- Multi-Query Attention (MQA) support for more efficient inference
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- Group-Query Attention (GQA) support for more efficient inference
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"""
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"""
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import math
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import math
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@ -29,7 +29,7 @@ class GPTConfig:
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vocab_size: int = 50304
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vocab_size: int = 50304
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n_layer: int = 12
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n_layer: int = 12
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n_head: int = 6 # number of query heads
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n_head: int = 6 # number of query heads
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n_kv_head: int = 6 # number of key/value heads (MQA)
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n_kv_head: int = 6 # number of key/value heads (GQA)
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n_embd: int = 768
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n_embd: int = 768
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18
rustbpe/pyproject.toml
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18
rustbpe/pyproject.toml
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@ -0,0 +1,18 @@
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[project]
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name = "rustbpe"
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version = "0.1.0"
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description = "Rust BPE tokenizer from nanochat as standalone package"
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readme = "README.md"
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requires-python = ">=3.10"
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license = {text = "MIT"}
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dependencies = []
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[build-system]
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requires = ["maturin>=1.0"]
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build-backend = "maturin"
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[tool.maturin]
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module-name = "rustbpe"
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bindings = "pyo3"
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python-source = "."
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features = ["pyo3/extension-module"]
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