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# What does this PR do?

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Fixes #816

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![Screenshot from 2023-08-10
14-20-25](https://github.com/huggingface/text-generation-inference/assets/7246357/e16d0d41-be63-4d06-8093-30540df91419

)

---------
Co-authored-by: Merve Noyan <merveenoyan@gmail.com>

# What does this PR do?

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Co-authored-by: Lucain <lucainp@gmail.com>
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>

# What does this PR do?

Fixes #531

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cc @osanseviero

Build docs only when change happens in `docs/source`

See for example
https://github.com/huggingface/api-inference/blob/main/.github/workflows/build_documentation.yml#L3-L8

Added docs for CLI 

# What does this PR do?

This is purely code style - not anything important.
Instead of writing `req.0` all over we can use
[descructuring](https://doc.rust-lang.org/rust-by-example/flow_control/match/destructuring/destructure_structures.html)
to access the contained value that we actually want.

(Destructuring in function parameters
[here](https://doc.rust-lang.org/reference/items/functions.html#function-parameters))

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@OlivierDehaene

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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# What does this PR do?

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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- Will detect `peft` model by finding `adapter_config.json`.
- This triggers a totally dedicated `download-weights` path
- This path, loads the adapter config, finds the base model_id
- It loads the base_model
- Then peft_model
- Then `merge_and_unload()`
- Then `save_pretrained(.., safe_serialization=True)
- Add back the config + tokenizer.merge_and_unload()`
- Then `save_pretrained(.., safe_serialization=True)
- Add back the config + tokenizer.
- The chosen location is a **local folder with the name of the user
  chosen model id**

PROs:

- Easier than to expect user to merge manually
- Barely any change outside of `download-weights` command.
- This means everything will work in a single load.
- Should enable out of the box SM + HFE

CONs:

- Creates a local merged model in unusual location, potentially
  not saved across docker reloads, or ovewriting some files if the PEFT
  itself was local and containing other files in addition to the lora

Alternatives considered:
- Add `local_files_only=True` every where (discard because of massive
  code change for not a good enough reason)
- Return something to `launcher` about the new model-id (a cleaner
  location for this new model), but it would
  introduce new communication somewhere where we didn't need it before.
- Using the HF cache folder and *stopping* the flow after
  `download-weights` and asking user to restart with the actual local
  model location


Fix #482 


# What does this PR do?

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# What does this PR do?

CI cehck for #501 

This PR automatically points tensors that were removed due to
deduplication to their still existing twin.

In `server.text_generation_server.utils.convert.py#convert_file`,
tensors that have a value equal to another tensor are removed from the
list of weights. Their name, and the name of the still-existing "twin"
are logged to the "metadata" dictionary. However, this dictionary was
not yet used during loading. This requires explicit in-code remapping
when loading the models (as mentioned in the docstring).

This PR adds some simple code to check, during loading, if a weight is
one of those removed weights. It then automatically retrieves the values
of its still-existing "twin" instead.

## What does this fix?
We currently cannot load `h2oai/h2ogpt-oig-oasst1-falcon-40b` with the
unmodified server, since the `transformer.word_embeddings.weight` weight
is equal to `lm_head.weight` and is automatically removed. The falcon
code, however, still expects this weight to exist. I could have also
added some extra checks to the model itself, though that would only be a
workaround.

## Before submitting
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---------



# What does this PR do?

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Fixes # (issue)


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Co-authored-by: Vincent Brouwers <vincentbrouwers9@gmail.com>
Co-authored-by: Vincent Brouwers <vincent.brouwers@ing.com>

# What does this PR do?

Fixes #749 

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Co-authored-by: p_spozzhang <p_spozzhang@tencent.com>

@Narsil

# What does this PR do?

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# What does this PR do?
Fixed typo.
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implemetation -> implementation


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# What does this PR do?


- Adds Rope NTK scaling.

Done because
https://github.com/huggingface/text-generation-inference/pull/529 was
closed
Took some code from
https://github.com/huggingface/transformers/pull/24653

- `--rope-scaling` and `--rope-factor` are added separately. I
considered having a single one and parsing something line ("linear:4.0"
, or "dynamic") but decided against
it because it would push more parsing+validation a bit everywhere (both
in the launcher and the server).


Fixes #512




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## What does this PR do?

This PR fixes a minor type annotation issue in the signature of
`Model.generate_token`.

All existing overrides of `Model.generate_token` return
`Tuple[List[Generation], Optional[B]]`:

https://github.com/huggingface/text-generation-inference/blob/3ef5ffbc6400370ff2e1546550a6bad3ac61b079/server/text_generation_server/models/causal_lm.py#L535-L537

https://github.com/huggingface/text-generation-inference/blob/3ef5ffbc6400370ff2e1546550a6bad3ac61b079/server/text_generation_server/models/flash_causal_lm.py#L802-L804

https://github.com/huggingface/text-generation-inference/blob/3ef5ffbc6400370ff2e1546550a6bad3ac61b079/server/text_generation_server/models/seq2seq_lm.py#L589-L591

I suspect that back in 017a2a8c when `GeneratedText` and `Generation`
were separated, the function signature was not updated.

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CC @OlivierDehaene

# What does this PR do?

Redoes #719

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As per title.


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