mirror of
https://github.com/huggingface/transformers.git
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3ee24e2208
* Add model skeletion with transformers-cli add-new-model-like * Convert config to modular, add rms_norm_eps, delete clip_qkv * Convert model to modular, add RMSNorm * Add flash attention with qk norm and no qkv clipping * Add decoder layer with RMSNorm after attention/feedforward layers * Add base and causal model * Add converter improvements from OLMo repo * Update weight loading in OLMo to HF converter * Set correct default for rms_norm_eps * Set correct pipeline_model_mapping in test * Run make fixup * Fix model type * Re-run modular conversion * Manually set config docs to fix build errors * Convert olmo-1124 to olmo_1124 to fix flash attention docs errors * Start updating tests * Update tests * Copy upstream test_eager_matches_sdpa_inference_1_bfloat16 changes to olmo_1124 * Rename input_layernorm and post_attention_layernorm to reflect their ops better * Use correct tokenizer * Remove test unsupported by GPT2 tokenizer * Create GenerationConfig outside of from_pretrained call * Use simpler init file structure * Add explicit __all__ to support simplified init * Make safetensor serialization the default * Update OLMo November 2024 docs |
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| .. | ||
| agents | ||
| benchmark | ||
| bettertransformer | ||
| deepspeed | ||
| extended | ||
| fixtures | ||
| fsdp | ||
| generation | ||
| models | ||
| optimization | ||
| peft_integration | ||
| pipelines | ||
| quantization | ||
| repo_utils | ||
| sagemaker | ||
| tokenization | ||
| trainer | ||
| utils | ||
| __init__.py | ||
| test_backbone_common.py | ||
| test_configuration_common.py | ||
| test_feature_extraction_common.py | ||
| test_image_processing_common.py | ||
| test_image_transforms.py | ||
| test_modeling_common.py | ||
| test_modeling_flax_common.py | ||
| test_modeling_tf_common.py | ||
| test_pipeline_mixin.py | ||
| test_processing_common.py | ||
| test_sequence_feature_extraction_common.py | ||
| test_tokenization_common.py | ||