- 20 May, 2024 1 commit
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Joseph Enguehard authored
* Add MistralForTokenClassification * Add tests and docs * Add token classification for Mixtral and Qwen2 * Save llma for token classification draft * Add token classification support for Llama, Gemma, Persimmon, StableLm and StarCoder2 * Formatting * Add token classification support for Qwen2Moe model * Add dropout layer to each ForTokenClassification model * Add copied from in tests * Update src/transformers/models/llama/modeling_llama.py Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Propagate suggested changes * Style --------- Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
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- 22 Feb, 2024 1 commit
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NielsRogge authored
* Improve docs * Improve chat template
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- 31 Jan, 2024 1 commit
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Kian Sierra McGettigan authored
* direct copy from llama work * mistral modules forward pass working * flax mistral forward pass with sliding window * added tests * added layer collection approach * Revert "added layer collection approach" This reverts commit 0e2905bf2236ec323163fc1a9f0c016b21aa8b8f. * Revert "Revert "added layer collection approach"" This reverts commit fb17b6187ac5d16da7c461e1130514dc3d137a43. * fixed attention outputs * added mistral to init and auto * fixed import name * fixed layernorm weight dtype * freeze initialized weights * make sure conversion consideres bfloat16 * added backend * added docstrings * added cache * fixed sliding window causal mask * passes cache tests * passed all tests * applied make style * removed commented out code * applied fix-copies ignored other model changes * applied make fix-copies * removed unused functions * passed generation integration test * slow tests pass * fixed slow tests * changed default dtype from jax.numpy.float32 to float32 for docstring check * skip cache test for FlaxMistralForSequenceClassification since if pad_token_id in input_ids it doesn't score previous input_ids * updated checkpoint since from_pt not included * applied black style * removed unused args * Applied styling and fixup * changed checkpoint for doc back * fixed rf after adding it to hf hub * Add dummy ckpt * applied styling * added tokenizer to new ckpt * fixed slice format * fix init and slice * changed ref for placeholder TODO * added copies from Llama * applied styling * applied fix-copies * fixed docs * update weight dtype reconversion for sharded weights * removed Nullable input ids * Removed unnecessary output attentions in Module * added embedding weight initialziation * removed unused past_key_values * fixed deterministic * Fixed RMS Norm and added copied from * removed input_embeds * applied make style * removed nullable input ids from sequence classification model * added copied from GPTJ * added copied from Llama on FlaxMistralDecoderLayer * added copied from to FlaxMistralPreTrainedModel methods * fix test deprecation warning * freeze gpt neox random_params and fix copies * applied make style * fixed doc issue * skipped docstring test to allign # copied from * applied make style * removed FlaxMistralForSequenceClassification * removed unused padding_idx * removed more sequence classification * removed sequence classification * applied styling and consistency * added copied from in tests * removed sequence classification test logic * applied styling * applied make style * removed freeze and fixed copies * undo test change * changed repeat_kv to tile * fixed to key value groups * updated copyright year * split casual_mask * empty to rerun failed pt_flax_equivalence test FlaxWav2Vec2ModelTest * went back to 2023 for tests_pr_documentation_tests * went back to 2024 * changed tile to repeat * applied make style * empty for retry on Wav2Vec2
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- 08 Dec, 2023 1 commit
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fxmarty authored
* add sdpa * wip * cleaning * add ref * yet more cleaning * and more :) * wip llama * working llama * add output_attentions=True support * bigcode sdpa support * fixes * gpt-bigcode support, require torch>=2.1.1 * add falcon support * fix conflicts falcon * style * fix attention_mask definition * remove output_attentions from attnmaskconverter * support whisper without removing any Copied from statement * fix mbart default to eager renaming * fix typo in falcon * fix is_causal in SDPA * check is_flash_attn_2_available in the models init as well in case the model is not initialized through from_pretrained * add warnings when falling back on the manual implementation * precise doc * wip replace _flash_attn_enabled by config.attn_implementation * fix typo * add tests * style * add a copy.deepcopy on the config in from_pretrained, as we do not want to modify it inplace * obey to config.attn_implementation if a config is passed in from_pretrained * fix is_torch_sdpa_available when torch is not installed * remove dead code * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/bart/modeling_bart.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * remove duplicate pretraining_tp code * add dropout in llama * precise comment on attn_mask * add fmt: off for _unmask_unattended docstring * precise num_masks comment * nuke pretraining_tp in LlamaSDPAAttention following Arthur's suggestion * cleanup modeling_utils * backward compatibility * fix style as requested * style * improve documentation * test pass * style * add _unmask_unattended tests * skip meaningless tests for idefics * hard_check SDPA requirements when specifically requested * standardize the use if XXX_ATTENTION_CLASSES * fix SDPA bug with mem-efficient backend on CUDA when using fp32 * fix test * rely on SDPA is_causal parameter to handle the causal mask in some cases * fix FALCON_ATTENTION_CLASSES * remove _flash_attn_2_enabled occurences * fix test * add OPT to the list of supported flash models * improve test * properly test on different SDPA backends, on different dtypes & properly handle separately the pad tokens in the test * remove remaining _flash_attn_2_enabled occurence * Update src/transformers/modeling_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/modeling_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/modeling_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update docs/source/en/perf_infer_gpu_one.md Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * remove use_attn_implementation * fix docstring & slight bug * make attn_implementation internal (_attn_implementation) * typos * fix tests * deprecate use_flash_attention_2=True * fix test * add back llama that was removed by mistake * fix tests * remove _flash_attn_2_enabled occurences bis * add check & test that passed attn_implementation is valid * fix falcon torchscript export * fix device of mask in tests * add tip about torch.jit.trace and move bt doc below sdpa * fix parameterized.expand order * move tests from test_modeling_attn_mask_utils to test_modeling_utils as a relevant test class is already there * update sdpaattention class with the new cache * Update src/transformers/configuration_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/bark/modeling_bark.py * address review comments * WIP torch.jit.trace fix. left: test both eager & sdpa * add test for torch.jit.trace for both eager/sdpa * fix falcon with torch==2.0 that needs to use sdpa * fix doc * hopefully last fix * fix key_value_length that has no default now in mask converter * is it flacky? * fix speculative decoding bug * tests do pass * fix following #27907 --------- Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
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- 03 Nov, 2023 1 commit
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Maria Khalusova authored
* first batch of structure improvements for model_docs * second batch of structure improvements for model_docs * more structure improvements for model_docs * more structure improvements for model_docs * structure improvements for cv model_docs * more structural refactoring * addressed feedback about image processors
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- 17 Oct, 2023 2 commits
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Bingchen Zhao authored
Fix a typo in mistral.md
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Susheel Thapa authored
* Chore: Typo fixed in multiple files of docs/source/en/model_doc * Update docs/source/en/model_doc/nllb-moe.md Co-authored-by:
Aryan V S <avs050602@gmail.com> --------- Co-authored-by:
Aryan V S <avs050602@gmail.com>
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- 04 Oct, 2023 1 commit
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Galland authored
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- 03 Oct, 2023 1 commit
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Younes Belkada authored
* add FA-2 support for mistral * fixup * add sliding windows * fixing few nits * v1 slicing cache - logits do not match * add comment * fix bugs * more mem efficient * add warning once * add warning once * oops * fixup * more comments * copy * add safety checker * fixup * Update src/transformers/models/mistral/modeling_mistral.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * copied from * up * raise when padding side is right * fixup * add doc + few minor changes * fixup --------- Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
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- 27 Sep, 2023 1 commit
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Chris Bamford authored
* [Mistral] Mistral-7B-v0.1 support * fixing names * slightly longer test * fixups * not_doctested * wrongly formatted references * make fixuped --------- Co-authored-by:
Timothee Lacroix <t@eugen.ai> Co-authored-by:
timlacroix <t@mistral.ai>
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