PR for conceptual guide on flash attention. I will add more info unless
I'm told otherwise.
---------
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>
# What does this PR do?
Disabling exllama on old compute.
Exllama + T4 don't play nice together, this will disable it right away
to avoid issues at runtime.
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This should allow users to use either Pydantic 2 or Pydantic 1.
I couldn't run all tests locally because I reran them too often and got
rate limited, but I believe this is sufficient.
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# What does this PR do?
During the safetensor conversion, duplicate weights are removed.
However, which of the duplicates gets removed, differs per checkpoint.
In some, like `h2oai/h2ogpt-oig-oasst1-falcon-40b`, the weight
`transformer.word_embeddings.weightSafetensor` gets removed. In others,
`lm_head.weight` gets removed. Long story long, we need to support both.
Originally, f018143 mapped `lm_head` to `word_embeddings`. Then ac736fd
switched this around. This commit merges them and allows for both.
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## Who can review?
@Narsil, you wrote both commits I referenced in this PR. I think you'll
understand this change :)
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---------
Co-authored-by: Vincent Brouwers <vincent.brouwers@ing.com>
# What does this PR do?
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Co-Authored-By: Victor Sanh <victorsanh@gmail.com>
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Co-authored-by: Victor Sanh <victorsanh@gmail.com>
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# What does this PR do?
- New "falcon" layout on this repo
- No alibi
- `transformers` already modifying cache layout in our stead (same
modifications).
- Output is garbage. Not sure why.
Does not fix#826 but it's a step.
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List of changes
- No need to specify `model` in `text_generation` if it's already
specified in `InferenceClient`
- I separated the explanation of `stream=True` and `details=True`
- I found the details explanation a bit repetitive (it says two times
what it returns), so removed a sentence
- Add mention of async client
# What does this PR do?
Fixes#843
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One-line addition to the README to show how to run the service on a
machine without GPUs or CUDA support (e.g., for local prototyping)
---------
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
# What does this PR do?
A few tokenizer_config in huggingface use LlamaTokenizer, so I think I
would have selected `LlamaTokenizer` before.
For a few cases where you're using a llama structure but not a llama
tokenizer, why not make it to call the AutoTokenizer in exception
handling.
In the case of `decapoda-research/llama-7b-hf`, LLamaTokenizer is still
being used in config.json, so it should be called through`
LlamaTokenizer`.
Also, if an exception is thrown by LlamaTokenizer, it will cause
`LlamaTokenzierFast` to be called from AutoTokenizer.
Fixes # 560
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@Narsil
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Fixes#816
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# What does this PR do?
Fixes#531
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I added ToC for docs v1 & started setting up for doc-builder. cc @Narsil
@osanseviero
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: osanseviero <osanseviero@gmail.com>
Co-authored-by: Mishig <mishig.davaadorj@coloradocollege.edu>
# What does this PR do?
Reflecting
https://github.com/huggingface/transformers/pull/24998
Current status wants to make sure integration tests *are* broken with
this.
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# What does this PR do?
Fixes#787
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Fixes#784
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Typo
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# What does this PR do?
See #626
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---------
Co-authored-by: krzim <zimmerk4@live.com>
# What does this PR do?
Fixes#732
And remove duplicate AutoTokenizer import
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Maxime Laboissonnière