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Quantize embedding / Update quantize API (#680)

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* more async eval

* quantize embedding / update quantize api

* more updates for quantize

* update for quantize embeddings

* update sd quant API

* update sdxl quants

* error for datasets < batch_size

* async

* fix config loading

* fix quant

* fix tests

* fix req

* remove lm head if tie weights is true

* fix test
This commit is contained in:
Awni Hannun
2024-04-18 18:16:10 -07:00
committed by GitHub
parent f5f189e48a
commit 2146bcd7ee
28 changed files with 108 additions and 190 deletions
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llms/mlx_lm/models/gemma.py
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@@ -169,7 +169,7 @@ class Model(nn.Module):
cache=None,
):
out, cache = self.model(inputs, cache)
out = out @ self.model.embed_tokens.weight.T
out = self.model.embed_tokens.as_linear(out)
return out, cache
@property