| _app | | | 485 items |
| internal | | | 9 items |
| main_classes | | | 21 items |
| model_doc | | | 314 items |
| quantization | | | 14 items |
| tasks | | | 30 items |
| _redirects.yml | 128 Bytes | | 03cac062 |
| _toctree.yml | 29.3 kB | | d2c8d573 |
| accelerate.html | 28.1 kB | | 614ba9d3 |
| add_new_model.html | 140 kB | | a4e88cbf |
| add_new_pipeline.html | 38.7 kB | | 80c03440 |
| agents.html | 74.1 kB | | 3f8b792e |
| agents_advanced.html | 45.8 kB | | cb06d1ec |
| attention.html | 24.1 kB | | 4cb0d8aa |
| autoclass_tutorial.html | 46.9 kB | | 12915dd3 |
| benchmarks.html | 65.9 kB | | 3c9e48fd |
| bertology.html | 5.97 kB | | 78acd7fe |
| big_models.html | 43.6 kB | | 6186ac41 |
| chat_templating.html | 188 kB | | 3af308ad |
| community.html | 43.3 kB | | e7155b18 |
| contributing.html | 72.8 kB | | 477135b6 |
| conversations.html | 48.5 kB | | d07ca73d |
| create_a_model.html | 98.9 kB | | f026c534 |
| custom_models.html | 58.6 kB | | b0455d5d |
| debugging.html | 84.1 kB | | f947e73b |
| deepspeed.html | 150 kB | | 698cdbd8 |
| fast_tokenizers.html | 15.9 kB | | 4de64b12 |
| favicon.png | 1.57 kB | | 6e06dd7b |
| fsdp.html | 34.7 kB | | a3b374ee |
| generation_strategies.html | 102 kB | | 0d05ebb1 |
| gguf.html | 16.7 kB | | 74ef9902 |
| glossary.html | 152 kB | | 7a7375cf |
| how_to_hack_models.html | 36.1 kB | | aa321f35 |
| hpo_train.html | 31.5 kB | | e6a870fc |
| index.html | 62.6 kB | | f8073616 |
| installation.html | 56.5 kB | | 9d8f8297 |
| kv_cache.html | 86.8 kB | | 2223db61 |
| llm_optims.html | 52.1 kB | | 8ca89d73 |
| llm_tutorial.html | 56.7 kB | | 8e2b4f53 |
| llm_tutorial_optimization.html | 246 kB | | da5b4bcd |
| model_memory_anatomy.html | 39.6 kB | | fa29b979 |
| model_sharing.html | 65 kB | | a5cd801f |
| model_summary.html | 43.8 kB | | 41f49644 |
| modular_transformers.html | 40.5 kB | | 46e0e67d |
| multilingual.html | 39.4 kB | | 4e11f467 |
| notebooks.html | 71.9 kB | | 960af1e1 |
| objects.inv | 41 kB | | 7a69b658 |
| pad_truncation.html | 10.6 kB | | ce45242e |
| peft.html | 110 kB | | 1c60ab0a |
| perf_hardware.html | 25.2 kB | | c9c9164e |
| perf_infer_cpu.html | 25 kB | | 0f93dae8 |
| perf_infer_gpu_multi.html | 10.9 kB | | 664580ee |
| perf_infer_gpu_one.html | 84.9 kB | | e021deed |
| perf_torch_compile.html | 68.4 kB | | 650c43d5 |
| perf_train_cpu.html | 16.4 kB | | 2146c0c4 |
| perf_train_cpu_many.html | 51.5 kB | | 339ce324 |
| perf_train_gpu_many.html | 87.2 kB | | 5243f85d |
| perf_train_gpu_one.html | 91.4 kB | | 348d82d4 |
| perf_train_special.html | 10.2 kB | | 6f29c078 |
| perf_train_tpu_tf.html | 40.8 kB | | de7dfe1c |
| performance.html | 12.9 kB | | 334584ec |
| perplexity.html | 39.2 kB | | 0cfeab1e |
| philosophy.html | 11.6 kB | | de0908e7 |
| pipeline_tutorial.html | 75.6 kB | | 85c26b85 |
| pipeline_webserver.html | 25.2 kB | | cb58b58c |
| pr_checks.html | 44 kB | | bf6fad72 |
| preprocessing.html | 129 kB | | 34fea7d1 |
| quicktour.html | 157 kB | | 4ac4b758 |
| run_scripts.html | 68.7 kB | | 01d0bd65 |
| sagemaker.html | 5.86 kB | | 28a99930 |
| serialization.html | 42.4 kB | | 049d457b |
| task_summary.html | 83.6 kB | | 22898a4a |
| tasks_explained.html | 60.3 kB | | eae35c74 |
| testing.html | 250 kB | | 8c0a040b |
| tf_xla.html | 34.7 kB | | 87599166 |
| tflite.html | 11.8 kB | | ded205e8 |
| tiktoken.html | 14.9 kB | | 53694a5f |
| tokenizer_summary.html | 65.9 kB | | 0a51f96e |
| torchscript.html | 37.8 kB | | 5e5b7232 |
| trainer.html | 97.8 kB | | d152257c |
| training.html | 99 kB | | 593ea746 |
| troubleshooting.html | 47 kB | | d9f709c1 |
