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Skaulintel/kvcache mistral#152

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Skaulintel/kvcache mistral#152
skaulintel wants to merge 88 commits into
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skaulintel/kvcache_mistral

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porting #145 to dev branch

regisss and others added 30 commits January 26, 2024 08:51
Co-authored-by: Sayantan Sarkar <sasarkar@habana.ai>
Co-authored-by: Libin Tang <litang@habana.ai>
Co-authored-by: Jimin Ha <jha@habana.ai>
Co-authored-by: Yeonsil Yoon <yyoon@habana.ai>
Co-authored-by: Sayantan Sarkar <supersarkar@gmail.com>
* Expose Llama Fused OPs control from run_lora_clm.py

* Update as per review comments
* enable internal kv bucket in llama

* initialize bucket_internal for CI

* make bucket_internal more clear

* further perf optim while max length is not multiple of bucket size
* [SW-173358] add first token prints

* [SW-173358] rename x to outputs

* [SW-173358] make style
* Enable Flash Attention in recompute and causal modes

* Add flash_attention_causal_mask to generation utils

* Propagate Flash Attention causal_mask to finetuning example

* Modify README example and provide additional description

* Add flash_attention_causal_mask to FT README
* enable loading falcon-180b ckpt in .safetensors format

* Address comments borrowing transformer's way of reading ckpt file

* address comments
Co-authored-by: Sun Choi <schoi@habana.ai>
* enable loading falcon-180b ckpt in .safetensors format

* Address comments borrowing transformer's way of reading ckpt file

* address comments

* Update ckpt loading

PR#15 reads a set of ckpt file names from the index json file.
When OH downloads files from the hub instead of loading from a cache dir, get_repo_root()
skips downloading the index json file. Thus the PR#15 fails to load file names.
This PR scans the path and returns a list of names that matches the pattern

* import modeling_utils from transformers
ssarkar2 and others added 20 commits March 14, 2024 12:37
…=1 (#96) (#116)

* Added additionla check to run with distributed enabled and  world_size = 1

* Reduce the number of graph splits to avoid memory allocation error
for 1x LLAMA1_7b_ft

---------

Co-authored-by: Kalyan <kkumar@habana.ai>
Co-authored-by: Kalyan <kkumar@habana.ai>
* enable Falcon FP8 inference

* added example command in readme, code cleanup

* resolve issues in finetuning

* enable non reuse cache flow for fp8

* revert non reuse_cache flow for training due to perf drop

* add falcon180B FP8 test

* fix error

* fix run_lm_eval.py to save --reuse_cache

* fix Falcon view+inplace error

---------

Co-authored-by: Local Lab User <labuser@habana-labs.com>
* Done to allow quantization using HQT

* Added use_flash_attention and flash_attention_recompute to run_lm_eval
@skaulintel skaulintel requested a review from a user April 9, 2024 21:39
@skaulintel skaulintel closed this Apr 9, 2024
astachowiczhabana pushed a commit that referenced this pull request Feb 14, 2025
- Enabled graph freezing and mark non scales as False
   to avoid Host OOM issues.

Signed-off-by: Vivek Kumar <vivkumar@habana.ai>
Co-authored-by: Vivek Kumar <vivkumar@habana.ai>
xinyu-intel pushed a commit that referenced this pull request Mar 4, 2025
- Enabled graph freezing and mark non scales as False
   to avoid Host OOM issues.

Signed-off-by: Vivek Kumar <vivkumar@habana.ai>
Co-authored-by: Vivek Kumar <vivkumar@habana.ai>
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