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FROM nvcr.io/nvidia/pytorch:24.07-py3 RUN pip install transformers evaluate datasets RUN git clone https://github.com/huggingface/accelerate.git RUN cd accelerate && \ pip install -e . && \ cd benchmarks/fp8 RUN /bin/bash
accelerate/benchmarks/fp8/Dockerfile/0
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<!--Copyright 2022 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
accelerate/docs/source/basic_tutorials/launch.md/0
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<!--Copyright 2021 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed...
accelerate/docs/source/package_reference/utilities.md/0
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<!-- Copyright 2024 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agree...
accelerate/docs/source/usage_guides/profiler.md/0
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# Copyright 2021 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by appl...
accelerate/examples/cv_example.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
accelerate/manim_animations/dataloaders/stage_4.py/0
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#!/usr/bin/env python # Copyright 2021 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unles...
accelerate/src/accelerate/commands/config/config_utils.py/0
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# Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
accelerate/src/accelerate/commands/utils.py/0
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# Copyright 2022 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
accelerate/src/accelerate/test_utils/scripts/external_deps/test_metrics.py/0
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# Copyright 2022 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
accelerate/src/accelerate/utils/__init__.py/0
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compute_environment: LOCAL_MACHINE debug: false distributed_type: MULTI_GPU downcast_bf16: 'no' enable_cpu_affinity: false fp8_config: amax_compute_algorithm: max amax_history_length: 1024 backend: TE fp8_format: E4M3 interval: 1 margin: 0 override_linear_precision: false use_autocast_during_eval: false...
accelerate/tests/test_configs/0_34_0_fp8.yaml/0
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# Copyright 2022 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
accelerate/tests/test_offload.py/0
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# Model arguments model_name_or_path: BramVanroy/gpt2-sft-dutch model_revision: main torch_dtype: bfloat16 # Data training arguments # For definitions, see: src/h4/training/config.py dataset_mixer: BramVanroy/ultra_feedback_dutch: 1.0 dataset_splits: - train_prefs - test_prefs preprocessing_num_workers: 12 # DPOTra...
alignment-handbook/recipes/gpt2-nl/dpo/config_full.yaml/0
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# Model arguments model_name_or_path: alignment-handbook/zephyr-7b-sft-qlora torch_dtype: bfloat16 attn_implementation: flash_attention_2 # LoRA arguments use_peft: true load_in_4bit: true lora_r: 128 lora_alpha: 128 lora_dropout: 0.05 lora_target_modules: - q_proj - k_proj - v_proj - o_proj - gate_proj - up_proj - do...
alignment-handbook/recipes/zephyr-7b-beta/dpo/config_qlora.yaml/0
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# coding=utf-8 # Copyright 2024 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless r...
alignment-handbook/src/alignment/decontaminate.py/0
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{ "[python]": { "editor.defaultFormatter": "ms-python.black-formatter" }, "python.formatting.provider": "none", "python.testing.pytestArgs": [ "candle-pyo3" ], "python.testing.unittestEnabled": false, "python.testing.pytestEnabled": true }
candle/.vscode/settings.json/0
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# Creating a WASM app
candle/candle-book/src/apps/wasm.md/0
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# Fine-tuning
candle/candle-book/src/training/finetuning.md/0
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use crate::benchmarks::{BenchDevice, BenchDeviceHandler}; use candle_core::{DType, Device, Tensor}; use criterion::{black_box, criterion_group, Criterion, Throughput}; use std::time::Instant; fn run(a: &Tensor, b: &Tensor, c: &Tensor) { a.where_cond(b, c).unwrap(); } const fn create_cond_arr<const N: usize>() -> ...
candle/candle-core/benches/benchmarks/where_cond.rs/0
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use crate::backend::{BackendDevice, BackendStorage}; use crate::op::{BinaryOpT, CmpOp, ReduceOp, UnaryOpT}; use crate::{DType, Error, IntDType, Layout, Result, Shape, WithDType}; use half::{bf16, f16}; use rayon::prelude::*; mod utils; pub use utils::{ binary_map, binary_map_vec, unary_map, unary_map_vec, Map1, Ma...
candle/candle-core/src/cpu_backend/mod.rs/0
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//! ML framework for Rust //! //! ```rust //! use candle_core::{Tensor, DType, Device}; //! # use candle_core::Error; //! # fn main() -> Result<(), Error>{ //! //! let a = Tensor::arange(0f32, 6f32, &Device::Cpu)?.reshape((2, 3))?; //! let b = Tensor::arange(0f32, 12f32, &Device::Cpu)?.reshape((3, 4))?; //! //! let c =...
candle/candle-core/src/lib.rs/0
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