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This PR addresses an issue where calling `model = model.cuda()` would
throw a ValueError when `quantize` is set to "bitsandbytes".
```
> File "/opt/conda/lib/python3.9/site-packages/text_generation_server/server.py", line 147, in serve_inner
model = get_model(
File "/opt/conda/lib/python3.9/site-packages/text_generation_server/models/__init__.py", line 295, in get_model
return CausalLM(
File "/opt/conda/lib/python3.9/site-packages/text_generation_server/models/causal_lm.py", line 515, in __init__
model = model.cuda()
File "/opt/conda/lib/python3.9/site-packages/transformers/modeling_utils.py", line 1998, in cuda
raise ValueError(
ValueError: Calling `cuda()` is not supported for `4-bit` or `8-bit` quantized models. Please use the model as it is, since the model has already been set to the correct devices and casted to the correct `dtype`.
```
Co-authored-by: mmnga <mmnga1mmnga@gmail.com>
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# What does this PR do?
Fixes#1017
Not sure if there's a mistake here but
- NousResearch/Yarn-Llama-2-7b-128k seems to be working fine
- TheBloke/Yarn-Llama-2-13B-128K-GPTQ outputs garbage
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# What does this PR do?
Fixes#1098
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# What does this PR do?
Fixing a list type hint definition (I believe this was a typo).
Allows backward compatibility with Python 3.8 (relevant for
JetPack-enabled systems).
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# What does this PR do?
Now clients which do not specify a max_length will be implying
`max_new_tokens = max_total_tokens - input_length`.
This is a serious change, but which seems more in line with what users
expect from standing server.
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---------
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
# What does this PR do?
Fix#1095
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Just removed `--` from the arguments.
With `--` bitsandbytes and bitsandbytes-nf4 are considered an option
which they are not
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# What does this PR do?
This PR is meant to handle cases in which the images provided are
invalid.
## Who can review?
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passed. Feel free to tag
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@Narsil
---------
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
This fixes flash attention v1 which was always
NotImplementedError("window_size_left is only available with flash attn
v2").
Currently flash_llama_modeling.py doesn't override the default value of
window_size_left when calling attention(..) (line 282). This means that
window_size_left will always be the default of -1, but flash attention
v1 throws an exception if `window_size_left != 0`.
To fix this, we should be checking `window_size_left != -1` before
throwing the NotImplementedError.
Fixes#1084
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# What does this PR do?
Fixes#1079
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Fixes # (issue)
## Before submitting
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other checks if that's the case).
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Adding a new line to escape between heading and codeblock. However, it
is a hotfix and I will work on a permanent solution on
https://github.com/huggingface/doc-builder
I had to open this PR since I initially worked from my fork, and it
requires a handful of work to trigger a new github action on my fork's
specific branch (couldn't find a way, at least, despite trying all of
them).
---------
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
# What does this PR do?
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`FastLinear.load` requires 4 parameters, but in the following only 3 are
given. This PR fix this.
```python
# server/text_generation_server/models/custom_modeling/opt_modeling.py
if config.word_embed_proj_dim != config.hidden_size:
self.project_out = FastLinear.load(
config, prefix="model.decoder.project_out", bias=False
)
else:
self.project_out = None
if config.word_embed_proj_dim != config.hidden_size:
self.project_in = FastLinear.load(
config, prefix="model.decoder.project_in", bias=False
```
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Superseed #1024
# What does this PR do?
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Fixes # (issue)
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---------
Co-authored-by: bangoz <ch_xie@pku.edu.cn>
# What does this PR do?
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Fixes # (issue)
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---------
Co-authored-by: zhaosida <zhaosida@corp.netease.com>
Added note on serving supported models from a different folder without
re-downloading them.
---------
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
# What does this PR do?
Upgrade all relevant versions and dependencies.
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Fixes # (issue)
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# What does this PR do?
I made an embarrassing mistake where I accidentally passed normal
softmax probabilities into `batch_top_tokens` for `CausalLM` and
`Seq2SeqLM`.
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## Before submitting
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# What does this PR do?
Install curl within base image, negligible regarding the image volume
and will allow to easily perform a better health check. Not sure about
the failing github actions though. Should I fix something ?
Signed-off-by: Raphael <oOraph@users.noreply.github.com>
Co-authored-by: Raphael <oOraph@users.noreply.github.com>