| _app | | | 486 items |
| internal | | | 9 items |
| main_classes | | | 21 items |
| model_doc | | | 315 items |
| quantization | | | 14 items |
| tasks | | | 30 items |
| _redirects.yml | 128 Bytes | | 03cac062 |
| _toctree.yml | 29.4 kB | | 56edfc2a |
| accelerate.html | 28.1 kB | | 1d252287 |
| add_new_model.html | 140 kB | | a9519c21 |
| add_new_pipeline.html | 38.7 kB | | f2142200 |
| agents.html | 74.1 kB | | eb442eee |
| agents_advanced.html | 45.8 kB | | 5286beff |
| attention.html | 24.1 kB | | 37384e16 |
| autoclass_tutorial.html | 46.9 kB | | 83bdf5a7 |
| benchmarks.html | 65.9 kB | | 19a8925a |
| bertology.html | 5.97 kB | | 19703366 |
| big_models.html | 43.6 kB | | b803bd97 |
| chat_templating.html | 188 kB | | 084fd4fa |
| community.html | 43.3 kB | | fbea9b84 |
| contributing.html | 72.8 kB | | 612a4710 |
| conversations.html | 48.5 kB | | 0d753425 |
| create_a_model.html | 98.9 kB | | 22cf607d |
| custom_models.html | 58.6 kB | | 4a7ce4b3 |
| debugging.html | 84.1 kB | | 4675168b |
| deepspeed.html | 150 kB | | bd2b313f |
| fast_tokenizers.html | 15.9 kB | | c8022902 |
| favicon.png | 1.57 kB | | 6e06dd7b |
| fsdp.html | 34.7 kB | | b42ae36a |
| generation_strategies.html | 102 kB | | 899ece24 |
| gguf.html | 16.7 kB | | 8fd7bfe5 |
| glossary.html | 152 kB | | 36ef16e8 |
| how_to_hack_models.html | 36.1 kB | | d6fbfb1f |
| hpo_train.html | 31.5 kB | | f3a9ca14 |
| index.html | 62.8 kB | | 79c7fdc0 |
| installation.html | 56.5 kB | | 61bac8a4 |
| kv_cache.html | 86.8 kB | | d9073421 |
| llm_optims.html | 52.1 kB | | 0a5b1c01 |
| llm_tutorial.html | 56.7 kB | | b5ee17b2 |
| llm_tutorial_optimization.html | 246 kB | | 09d1163f |
| model_memory_anatomy.html | 39.6 kB | | 3f6e607e |
| model_sharing.html | 65 kB | | b338983f |
| model_summary.html | 43.8 kB | | b12b30e5 |
| modular_transformers.html | 40.5 kB | | c902f666 |
| multilingual.html | 39.4 kB | | 67311906 |
| notebooks.html | 71.9 kB | | b84814e0 |
| objects.inv | 41 kB | | 2528ff26 |
| pad_truncation.html | 10.6 kB | | dd18d486 |
| peft.html | 110 kB | | ff61abce |
| perf_hardware.html | 25.2 kB | | 8d3225e8 |
| perf_infer_cpu.html | 25 kB | | 81ac8cee |
| perf_infer_gpu_multi.html | 10.9 kB | | 31ab6cca |
| perf_infer_gpu_one.html | 85.1 kB | | cd021d9f |
| perf_torch_compile.html | 68.4 kB | | 9e6d7b52 |
| perf_train_cpu.html | 16.4 kB | | 1e248bfb |
| perf_train_cpu_many.html | 51.5 kB | | 66ad9e8a |
| perf_train_gpu_many.html | 87.2 kB | | 9a418065 |
| perf_train_gpu_one.html | 91.4 kB | | d3bde40a |
| perf_train_special.html | 10.2 kB | | 74119918 |
| perf_train_tpu_tf.html | 40.8 kB | | 499052b3 |
| performance.html | 12.9 kB | | a21a04bb |
| perplexity.html | 39.2 kB | | c363545d |
| philosophy.html | 11.6 kB | | bf05476a |
| pipeline_tutorial.html | 75.6 kB | | d33dea7d |
| pipeline_webserver.html | 25.2 kB | | 21038937 |
| pr_checks.html | 44 kB | | d167a917 |
| preprocessing.html | 129 kB | | 566bd163 |
| quicktour.html | 157 kB | | fafeef57 |
| run_scripts.html | 68.7 kB | | 7989550f |
| sagemaker.html | 5.86 kB | | fadaf7da |
| serialization.html | 42.4 kB | | 1d711753 |
| task_summary.html | 83.6 kB | | 50dfe6fc |
| tasks_explained.html | 60.3 kB | | e341f83b |
| testing.html | 250 kB | | 0dd66ecc |
| tf_xla.html | 34.7 kB | | 351d20cd |
| tflite.html | 11.8 kB | | e77f1f87 |
| tiktoken.html | 14.9 kB | | 1400e3a9 |
| tokenizer_summary.html | 65.9 kB | | 85183717 |
| torchscript.html | 37.8 kB | | d9fc71e1 |
| trainer.html | 97.8 kB | | 78f8bf83 |
| training.html | 99 kB | | 9369c031 |
| troubleshooting.html | 47 kB | | 16ada9b9 |
