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2 changes: 1 addition & 1 deletion docs/codegen.md
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ Codegen for TL1 and TL2

codegen_tl1.py and codegen_tl2.py are using params to generate kernel codes in different devices to achieve fastest performance for TL1 and TL2.

We cutting weight into multiple compute blocks to best utilize hardware capabilities.
We cut weights into multiple compute blocks to best utilize hardware capabilities.

### Example
bitnet_b1_58-large:
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2 changes: 1 addition & 1 deletion utils/convert-hf-to-gguf-bitnet.py
Original file line number Diff line number Diff line change
Expand Up @@ -745,7 +745,7 @@ def write_tensors(self):
bid = int(part)
break

# old gguf bf16 not implenmented
# old gguf bf16 not implemented
# if data_torch.dtype == torch.bfloat16:
# for new_name, data in ((n, d) for n, d in self.modify_tensors(data_torch, name, bid)):
# shape_str = f"{{{', '.join(str(n) for n in reversed(data.shape))}}}"
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