| _app | | | 478 items |
| internal | | | 9 items |
| main_classes | | | 21 items |
| model_doc | | | 307 items |
| quantization | | | 14 items |
| tasks | | | 30 items |
| _redirects.yml | 128 Bytes | | 03cac062 |
| _toctree.yml | 28.9 kB | | 3809cbaa |
| accelerate.html | 28.1 kB | | a8028d26 |
| add_new_model.html | 140 kB | | 57d13983 |
| add_new_pipeline.html | 38.3 kB | | db2ab383 |
| agents.html | 74.1 kB | | 51ae6dfd |
| agents_advanced.html | 45.7 kB | | 3a5ccf1b |
| attention.html | 24.1 kB | | 62f89b87 |
| autoclass_tutorial.html | 46.1 kB | | dca1d245 |
| benchmarks.html | 65.9 kB | | 22551669 |
| bertology.html | 5.97 kB | | efda2e6a |
| big_models.html | 43.6 kB | | 25a02d9c |
| chat_templating.html | 188 kB | | ed6a600e |
| community.html | 43.3 kB | | 249250c3 |
| contributing.html | 72.8 kB | | d8567240 |
| conversations.html | 48.5 kB | | 535f0a52 |
| create_a_model.html | 98.9 kB | | 970dcef6 |
| custom_models.html | 58.6 kB | | 8efa8b1c |
| debugging.html | 84.1 kB | | 1eada844 |
| deepspeed.html | 150 kB | | 4903c9ea |
| fast_tokenizers.html | 15.9 kB | | d060d6e1 |
| favicon.png | 1.57 kB | | 6e06dd7b |
| fsdp.html | 34.7 kB | | d9f73433 |
| generation_strategies.html | 101 kB | | 1b1cd6a9 |
| gguf.html | 16.7 kB | | 8302f6b1 |
| glossary.html | 152 kB | | b3179b96 |
| how_to_hack_models.html | 36.1 kB | | e5fae0de |
| hpo_train.html | 31.5 kB | | 37b42327 |
| index.html | 61.2 kB | | bfabb292 |
| installation.html | 56.5 kB | | fce3e7ec |
| kv_cache.html | 86.7 kB | | eb636d99 |
| llm_optims.html | 51.8 kB | | 2df2be12 |
| llm_tutorial.html | 56.7 kB | | 1cf2942d |
| llm_tutorial_optimization.html | 246 kB | | d32ad9f0 |
| model_memory_anatomy.html | 39.6 kB | | 9768eee7 |
| model_sharing.html | 65 kB | | 6e778644 |
| model_summary.html | 43.8 kB | | 8874438c |
| modular_transformers.html | 40.5 kB | | 29cc783d |
| multilingual.html | 39.4 kB | | f877acda |
| notebooks.html | 71.9 kB | | 96b9ae7b |
| objects.inv | 40.6 kB | | 9745c0c2 |
| pad_truncation.html | 10.6 kB | | ad0abd60 |
| peft.html | 110 kB | | 33fc988a |
| perf_hardware.html | 25.2 kB | | abbf19d3 |
| perf_infer_cpu.html | 25 kB | | 4e30fe5f |
| perf_infer_gpu_multi.html | 10.9 kB | | a50debe2 |
| perf_infer_gpu_one.html | 83.3 kB | | d8a55ea6 |
| perf_torch_compile.html | 67.8 kB | | 410f85b6 |
| perf_train_cpu.html | 16.4 kB | | 76a94513 |
| perf_train_cpu_many.html | 51.5 kB | | cd21884f |
| perf_train_gpu_many.html | 87.2 kB | | 89c51f20 |
| perf_train_gpu_one.html | 91.4 kB | | 0c33bd8f |
| perf_train_special.html | 10.2 kB | | 836c7e84 |
| perf_train_tpu_tf.html | 40.8 kB | | 6d25a3fb |
| performance.html | 12.9 kB | | 1c8bae2a |
| perplexity.html | 39.2 kB | | f7ccfe2e |
| philosophy.html | 11.6 kB | | eb91ffcd |
| pipeline_tutorial.html | 75.4 kB | | 4f56b2e4 |
| pipeline_webserver.html | 25.2 kB | | 4158153e |
| pr_checks.html | 44 kB | | 8523fb15 |
| preprocessing.html | 129 kB | | 837874e6 |
| quicktour.html | 156 kB | | cfb8fac4 |
| run_scripts.html | 68.7 kB | | 0dcd9761 |
| sagemaker.html | 5.86 kB | | b68fd78c |
| serialization.html | 42.4 kB | | acb12457 |
| task_summary.html | 83.6 kB | | be0725ee |
| tasks_explained.html | 60.3 kB | | f31b5cd1 |
| testing.html | 250 kB | | d340469a |
| tf_xla.html | 34.7 kB | | e8805bc8 |
| tflite.html | 11.8 kB | | 4384fdf9 |
| tiktoken.html | 14.9 kB | | b4031293 |
| tokenizer_summary.html | 65.9 kB | | f0e90f74 |
| torchscript.html | 37.8 kB | | 90a20f1b |
| trainer.html | 97.8 kB | | 833a0fe4 |
| training.html | 98.5 kB | | c58fd1da |
| troubleshooting.html | 47 kB | | c303ce3b |
