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6 Commits
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@ -244,7 +244,7 @@ class GPT(nn.Module):
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def forward(self, idx, targets=None, kv_cache=None, loss_reduction='mean'):
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B, T = idx.size()
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# Grab the rotary embeddings for the current sequence length (they are of shape (1, seq_len, 1, head_dim))
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# Grab the rotary embeddings for the current sequence length (they are of shape (1, seq_len, 1, head_dim/2))
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assert T <= self.cos.size(1), f"Sequence length grew beyond the rotary embeddings cache: {T} > {self.cos.size(1)}"
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assert idx.device == self.cos.device, f"Rotary embeddings and idx are on different devices: {idx.device} != {self.cos.device}"
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assert self.cos.dtype == torch.bfloat16, "Rotary embeddings must be in bfloat16"
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@ -9,7 +9,6 @@ export OMP_NUM_THREADS=1
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export NANOCHAT_BASE_DIR="$HOME/.cache/nanochat"
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mkdir -p $NANOCHAT_BASE_DIR
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command -v uv &> /dev/null || curl -LsSf https://astral.sh/uv/install.sh | sh
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[ -d ".venv" ] || uv venv
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uv sync --extra gpu
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source .venv/bin/activate
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if [ -z "$WANDB_RUN" ]; then
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4
speedrun.sh
Normal file → Executable file
4
speedrun.sh
Normal file → Executable file
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@ -20,9 +20,7 @@ mkdir -p $NANOCHAT_BASE_DIR
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# install uv (if not already installed)
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command -v uv &> /dev/null || curl -LsSf https://astral.sh/uv/install.sh | sh
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# create a .venv local virtual environment (if it doesn't exist)
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[ -d ".venv" ] || uv venv
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# install the repo dependencies
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# create a .venv local virtual environment (if it doesn't exist) and install the repo dependencies
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uv sync --extra gpu
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# activate venv so that `python` uses the project's venv instead of system python
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source .venv/bin/activate
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