From 891e19cc5126a53375a1908312da4e7cedd763e0 Mon Sep 17 00:00:00 2001
From: Nicolas Patry <patry.nicolas@protonmail.com>
Date: Mon, 7 Aug 2023 12:28:19 +0200
Subject: [PATCH 1/2] Fix dynamic rope. (#783)

# What does this PR do?

Typo

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Fixes # (issue)


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Did you read the [contributor
guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
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      to it if that's the case.
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---
 server/text_generation_server/utils/layers.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/server/text_generation_server/utils/layers.py b/server/text_generation_server/utils/layers.py
index 97257f95..c2a340b2 100644
--- a/server/text_generation_server/utils/layers.py
+++ b/server/text_generation_server/utils/layers.py
@@ -543,7 +543,7 @@ try:
                 or self._cos_cached.dtype != dtype
             ):
                 if seqlen > self.max_position_embeddings:
-                    newbase = self.base * ((self.scaling_factor * seq_len / self.max_position_embeddings) - (self.scaling_factor - 1)) ** (self.dim / (self.dim - 2))
+                    newbase = self.base * ((self.scaling_factor * seqlen / self.max_position_embeddings) - (self.scaling_factor - 1)) ** (self.dim / (self.dim - 2))
                     self.inv_freq = _create_inv_freq(self.dim, newbase, self.inv_freq.device)
                 self._seq_len_cached = seqlen
                 t = torch.arange(seqlen, device=device, dtype=self.inv_freq.dtype)

From 1fdc88ee908beb8ae0afe17810a17b9b4d8848e2 Mon Sep 17 00:00:00 2001
From: Nicolas Patry <patry.nicolas@protonmail.com>
Date: Mon, 7 Aug 2023 13:02:00 +0200
Subject: [PATCH 2/2] Fixing non 4bits quantization. (#785)

# What does this PR do?

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Fixes # (issue)
Fixes #784

## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Did you read the [contributor
guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
- [ ] Was this discussed/approved via a Github issue or the
[forum](https://discuss.huggingface.co/)? Please add a link
      to it if that's the case.
- [ ] Did you make sure to update the documentation with your changes?
Here are the
[documentation
guidelines](https://github.com/huggingface/transformers/tree/main/docs),
and
[here are tips on formatting
docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have
passed. Feel free to tag
members/contributors who may be interested in your PR.

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---
 server/text_generation_server/utils/gptq/quant_linear.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/server/text_generation_server/utils/gptq/quant_linear.py b/server/text_generation_server/utils/gptq/quant_linear.py
index 54fa2014..bfc91c00 100644
--- a/server/text_generation_server/utils/gptq/quant_linear.py
+++ b/server/text_generation_server/utils/gptq/quant_linear.py
@@ -263,7 +263,7 @@ class QuantLinear(nn.Module):
         self.groupsize = groupsize
 
         self.outfeatures = qweight.shape[1]
-        self.infeatures = qweight.shape[0] * 32 // 4
+        self.infeatures = qweight.shape[0] * 32 // bits
 
     @classmethod
     def new(cls, bits, groupsize, infeatures, outfeatures, bias):