| _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 | | 0fb76c57 |
| add_new_model.html | 140 kB | | 1f7786d2 |
| add_new_pipeline.html | 38.3 kB | | 3d313f35 |
| agents.html | 74.1 kB | | d3b3d677 |
| agents_advanced.html | 45.7 kB | | 6c83475c |
| attention.html | 24.1 kB | | 59b8a90a |
| autoclass_tutorial.html | 46.1 kB | | 2924bf7d |
| benchmarks.html | 65.9 kB | | d80a5bcf |
| bertology.html | 5.97 kB | | 1a2b54e9 |
| big_models.html | 43.6 kB | | 19346759 |
| chat_templating.html | 188 kB | | 288b42f8 |
| community.html | 43.3 kB | | 3347fca5 |
| contributing.html | 72.8 kB | | f0896b97 |
| conversations.html | 48.5 kB | | 12818bde |
| create_a_model.html | 98.9 kB | | e20e75c9 |
| custom_models.html | 58.6 kB | | 691a01c8 |
| debugging.html | 84.1 kB | | 6dd5ed3b |
| deepspeed.html | 150 kB | | 5e2348e7 |
| fast_tokenizers.html | 15.9 kB | | 15b20acb |
| favicon.png | 1.57 kB | | 6e06dd7b |
| fsdp.html | 34.7 kB | | b1021ed7 |
| generation_strategies.html | 101 kB | | a37b8f2a |
| gguf.html | 16.7 kB | | ab12dcc7 |
| glossary.html | 152 kB | | a8411ce5 |
| how_to_hack_models.html | 36.1 kB | | 07b9c431 |
| hpo_train.html | 31.5 kB | | d20a47c8 |
| index.html | 61.2 kB | | 658475c6 |
| installation.html | 56.5 kB | | c1189458 |
| kv_cache.html | 86.7 kB | | c55a2f92 |
| llm_optims.html | 51.8 kB | | 0e261389 |
| llm_tutorial.html | 56.7 kB | | 8dd9026d |
| llm_tutorial_optimization.html | 246 kB | | 64c059bd |
| model_memory_anatomy.html | 39.6 kB | | 6558930f |
| model_sharing.html | 65 kB | | ec552a8f |
| model_summary.html | 43.8 kB | | 6ba3dfd0 |
| modular_transformers.html | 40.5 kB | | 073d9a1a |
| multilingual.html | 39.4 kB | | 9c8bdfe9 |
| notebooks.html | 71.9 kB | | ba564c02 |
| objects.inv | 40.6 kB | | 2dd277b4 |
| pad_truncation.html | 10.6 kB | | 06e124f0 |
| peft.html | 110 kB | | 602771a9 |
| perf_hardware.html | 25.2 kB | | 34f25cdf |
| perf_infer_cpu.html | 25 kB | | bb5eafb5 |
| perf_infer_gpu_multi.html | 10.9 kB | | b64227a9 |
| perf_infer_gpu_one.html | 83.3 kB | | a869bf05 |
| perf_torch_compile.html | 67.8 kB | | a89d38c0 |
| perf_train_cpu.html | 16.4 kB | | 1dfee400 |
| perf_train_cpu_many.html | 51.5 kB | | 98e398f4 |
| perf_train_gpu_many.html | 87.2 kB | | 38f2fc66 |
| perf_train_gpu_one.html | 91.4 kB | | 23e84c2d |
| perf_train_special.html | 10.2 kB | | 7166ccf1 |
| perf_train_tpu_tf.html | 40.8 kB | | 392dbc62 |
| performance.html | 12.9 kB | | 3b0d08a7 |
| perplexity.html | 39.2 kB | | 2cd5fdef |
| philosophy.html | 11.6 kB | | 3cb3d2dc |
| pipeline_tutorial.html | 75.4 kB | | 7f143513 |
| pipeline_webserver.html | 25.2 kB | | d83cef6d |
| pr_checks.html | 44 kB | | 2cd443d1 |
| preprocessing.html | 129 kB | | 04b98d04 |
| quicktour.html | 156 kB | | 49a5b9c3 |
| run_scripts.html | 68.7 kB | | ca60c20f |
| sagemaker.html | 5.86 kB | | 5b36fcea |
| serialization.html | 42.4 kB | | e02d1253 |
| task_summary.html | 83.6 kB | | 083bba5f |
| tasks_explained.html | 60.3 kB | | bbbd5fc5 |
| testing.html | 250 kB | | 5aabbac5 |
| tf_xla.html | 34.7 kB | | 1ed9935d |
| tflite.html | 11.8 kB | | b7f5683e |
| tiktoken.html | 14.9 kB | | 3ab7e1ea |
| tokenizer_summary.html | 65.9 kB | | cecaec68 |
| torchscript.html | 37.8 kB | | b7660fc1 |
| trainer.html | 97.8 kB | | 5ce07401 |
| training.html | 98.5 kB | | aba6d619 |
| troubleshooting.html | 47 kB | | 56639e9b |
