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  1. 14 Aug, 2023 3 commits
    • sawan Rawat's avatar
      Added two more features in readme.md file (#831) · 3ffcd9d3
      sawan Rawat authored 
      # What does this PR do?

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      3ffcd9d3
    • Omar Sanseviero's avatar
      Have snippets in Python/JavaScript in quicktour (#809) · d71237fc
      Omar Sanseviero authored 
      ![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: default avatarMerve Noyan <merveenoyan@gmail.com>
      d71237fc
    • Nicolas Patry's avatar
      Version 1.0.1 (#836) · 09eca642
      Nicolas Patry authored 
      # What does this PR do?

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      09eca642
  3. 11 Aug, 2023 4 commits
  5. 10 Aug, 2023 5 commits
  7. 08 Aug, 2023 2 commits
    • Nicolas Patry's avatar
      Llama change. (#793) · 0e8b4781
      Nicolas Patry authored 
      # 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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      0e8b4781
    • Nicolas Patry's avatar
      Update __init__.py (#794) · c4dac9f3
      Nicolas Patry authored 
      # What does this PR do?

Fixes #787
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      c4dac9f3
  9. 07 Aug, 2023 2 commits
    • Nicolas Patry's avatar
      Fixing non 4bits quantization. (#785) · 1fdc88ee
      Nicolas Patry authored 
      # What does this PR do?

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Fixes #784 

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      1fdc88ee
    • Nicolas Patry's avatar
      Fix dynamic rope. (#783) · 891e19cc
      Nicolas Patry authored 
      # What does this PR do?

Typo

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      891e19cc
  11. 03 Aug, 2023 4 commits
    • Nicolas Patry's avatar
      Merge BNB 4bit. (#770) · 16fadcec
      Nicolas Patry authored 
      # What does this PR do?


See #626 
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---------
Co-authored-by: default avatarkrzim <zimmerk4@live.com>
      16fadcec
    • zspo's avatar
      fix build tokenizer in quantize and remove duplicate import (#768) · f91e9d28
      zspo authored 
      # What does this PR do?

Fixes #732 
And remove duplicate AutoTokenizer import

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      f91e9d28
    • Nicolas Patry's avatar
      This should prevent the PyTorch overriding. (#767) · 6ec5288a
      Nicolas Patry authored 
      # What does this PR do?

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      6ec5288a
    • Nicolas Patry's avatar
      feat(server): Add native support for PEFT Lora models (#762) · ac736fd8
      Nicolas Patry authored 
      - 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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      ac736fd8
  13. 02 Aug, 2023 2 commits
    • Nicolas Patry's avatar
      Automatically map deduplicated safetensors weights to their original values (#501) (#761) · 8b0d608f
      Nicolas Patry authored 
      # 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
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
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---------



# What does this PR do?

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Co-authored-by: default avatarVincent Brouwers <vincent.brouwers@ing.com>
      8b0d608f
    • zspo's avatar
      add FastLinear import (#750) · bd308874
      zspo authored 
      

# What does this PR do?

Fixes #749 

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Co-authored-by: default avatarp_spozzhang <p_spozzhang@tencent.com>
      bd308874
  15. 31 Jul, 2023 7 commits
  17. 28 Jul, 2023 5 commits
  19. 27 Jul, 2023 4 commits
  21. 25 Jul, 2023 2 commits
    • OlivierDehaene's avatar
      docs(README): update readme · e64a6589
      OlivierDehaene authored
      e64a6589
    • Nicolas Patry's avatar
      feat(server): Using `quantize_config.json` instead of GPTQ_BITS env variables. (#671) · a0d55358
      Nicolas Patry authored 
      - Current PR is not great because we're side stepping the
  `Weights.__init__` but Weights shouldn't requires anything related
  to the config or the model_id as it aims to be a simple Wrapper
  over multi file loading.
- Ideal solution would be to use something like Rust enum
  ```
  enum Quantize{
    Bitandbytes(Bitsandbytes),
    GPTQ(bits: usize, groupsize: usize)
  ```
  And passing that around during load. Unfortunately we don't
  have access to this, so for now, side-stepping seems easier.

- Re-enabling groupsize<0 with exllama (confirmed it works.)

Helps #601 

In next steps we should make sure our quantization script uses that
format and make it standard.


# What does this PR do?

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