text stringlengths 7 1.24M | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 519 |
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# coding=utf-8
# Copyright 2021 HuggingFace Inc. team.
# 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 o... | transformers/tests/models/bartpho/test_tokenization_bartpho.py/0 | {
"file_path": "transformers/tests/models/bartpho/test_tokenization_bartpho.py",
"repo_id": "transformers",
"token_count": 1082
} | 399 |
# coding=utf-8
# 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 r... | transformers/tests/models/blenderbot/test_modeling_tf_blenderbot.py/0 | {
"file_path": "transformers/tests/models/blenderbot/test_modeling_tf_blenderbot.py",
"repo_id": "transformers",
"token_count": 3908
} | 400 |
# coding=utf-8
# 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 requir... | transformers/tests/models/codegen/test_modeling_codegen.py/0 | {
"file_path": "transformers/tests/models/codegen/test_modeling_codegen.py",
"repo_id": "transformers",
"token_count": 10584
} | 401 |
# 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... | transformers/tests/models/dac/test_modeling_dac.py/0 | {
"file_path": "transformers/tests/models/dac/test_modeling_dac.py",
"repo_id": "transformers",
"token_count": 14481
} | 402 |
# coding=utf-8
# Copyright 2020 Huggingface
#
# 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 ... | transformers/tests/models/dpr/test_modeling_tf_dpr.py/0 | {
"file_path": "transformers/tests/models/dpr/test_modeling_tf_dpr.py",
"repo_id": "transformers",
"token_count": 4394
} | 403 |
# coding=utf-8
# Copyright 2022 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... | transformers/tests/models/focalnet/test_modeling_focalnet.py/0 | {
"file_path": "transformers/tests/models/focalnet/test_modeling_focalnet.py",
"repo_id": "transformers",
"token_count": 7399
} | 404 |
# coding=utf-8
# Copyright 2020 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 requir... | transformers/tests/models/lxmert/test_modeling_tf_lxmert.py/0 | {
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"repo_id": "transformers",
"token_count": 10961
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# coding=utf-8
# Copyright 2022 The Hugging Face Team.
#
# 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... | transformers/tests/models/markuplm/test_modeling_markuplm.py/0 | {
"file_path": "transformers/tests/models/markuplm/test_modeling_markuplm.py",
"repo_id": "transformers",
"token_count": 6144
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# coding=utf-8
# 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 requir... | transformers/tests/models/mluke/test_tokenization_mluke.py/0 | {
"file_path": "transformers/tests/models/mluke/test_tokenization_mluke.py",
"repo_id": "transformers",
"token_count": 14692
} | 407 |
# coding=utf-8
# Copyright 2023 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... | transformers/tests/models/mobilevitv2/test_modeling_mobilevitv2.py/0 | {
"file_path": "transformers/tests/models/mobilevitv2/test_modeling_mobilevitv2.py",
"repo_id": "transformers",
"token_count": 6189
} | 408 |
# coding=utf-8
# Copyright 2023 HuggingFace Inc.
#
# 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 ag... | transformers/tests/models/pix2struct/test_image_processing_pix2struct.py/0 | {
"file_path": "transformers/tests/models/pix2struct/test_image_processing_pix2struct.py",
"repo_id": "transformers",
"token_count": 6161
} | 409 |
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team, The Microsoft Research team.
#
# 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
#
# ... | transformers/tests/models/prophetnet/test_tokenization_prophetnet.py/0 | {
"file_path": "transformers/tests/models/prophetnet/test_tokenization_prophetnet.py",
"repo_id": "transformers",
"token_count": 3468
} | 410 |
# 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... | transformers/tests/models/qwen2_vl/test_modeling_qwen2_vl.py/0 | {
"file_path": "transformers/tests/models/qwen2_vl/test_modeling_qwen2_vl.py",
"repo_id": "transformers",
"token_count": 8112
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# coding=utf-8
# 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 r... | transformers/tests/models/rembert/test_modeling_rembert.py/0 | {
"file_path": "transformers/tests/models/rembert/test_modeling_rembert.py",
"repo_id": "transformers",
"token_count": 9236
} | 412 |
# coding=utf-8
# Copyright 2023 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... | transformers/tests/models/sam/test_modeling_tf_sam.py/0 | {
"file_path": "transformers/tests/models/sam/test_modeling_tf_sam.py",
"repo_id": "transformers",
"token_count": 11717
} | 413 |
# 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... | transformers/tests/models/superpoint/test_image_processing_superpoint.py/0 | {
"file_path": "transformers/tests/models/superpoint/test_image_processing_superpoint.py",
"repo_id": "transformers",
"token_count": 1623
} | 414 |
# coding=utf-8
# Copyright 2021 Google T5 Authors and HuggingFace Inc. team.
#
# 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 requ... | transformers/tests/models/t5/test_modeling_flax_t5.py/0 | {
"file_path": "transformers/tests/models/t5/test_modeling_flax_t5.py",
"repo_id": "transformers",
"token_count": 23924
} | 415 |
# Copyright 2023 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... | transformers/tests/models/univnet/test_feature_extraction_univnet.py/0 | {
"file_path": "transformers/tests/models/univnet/test_feature_extraction_univnet.py",
"repo_id": "transformers",
"token_count": 7246
} | 416 |
# coding=utf-8
# Copyright 2023 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 requir... | transformers/tests/models/xmod/test_modeling_xmod.py/0 | {
"file_path": "transformers/tests/models/xmod/test_modeling_xmod.py",
"repo_id": "transformers",
"token_count": 13172
} | 417 |
# Copyright 2020 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... | transformers/tests/pipelines/test_pipelines_common.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_common.py",
"repo_id": "transformers",
"token_count": 16992
} | 418 |
# Copyright 2020 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... | transformers/tests/pipelines/test_pipelines_text_classification.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_text_classification.py",
"repo_id": "transformers",
"token_count": 4112
} | 419 |
# Copyright 2020 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... | transformers/tests/repo_utils/test_check_copies.py/0 | {
"file_path": "transformers/tests/repo_utils/test_check_copies.py",
"repo_id": "transformers",
"token_count": 7781
} | 420 |
# coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team.
#
# 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 a... | transformers/tests/utils/test_cli.py/0 | {
"file_path": "transformers/tests/utils/test_cli.py",
"repo_id": "transformers",
"token_count": 1250
} | 421 |
# Copyright 2020 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... | transformers/tests/utils/test_modeling_flax_utils.py/0 | {
"file_path": "transformers/tests/utils/test_modeling_flax_utils.py",
"repo_id": "transformers",
"token_count": 7835
} | 422 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# 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... | transformers/utils/check_docstrings.py/0 | {
"file_path": "transformers/utils/check_docstrings.py",
"repo_id": "transformers",
"token_count": 14441
} | 423 |
import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter
import requests
def get_jobs(workflow_run_id, token=None):
"""Extract jobs in a GitHub Actions workflow run"""
headers = None
if token is not None:
headers = {"Accept": "... | transformers/utils/get_ci_error_statistics.py/0 | {
"file_path": "transformers/utils/get_ci_error_statistics.py",
"repo_id": "transformers",
"token_count": 4815
} | 424 |
"""A simple script to set flexibly CUDA_VISIBLE_DEVICES in GitHub Actions CI workflow files."""
import argparse
import os
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--test_folder",
type=str,
default=None,
help="The test folder name of t... | transformers/utils/set_cuda_devices_for_ci.py/0 | {
"file_path": "transformers/utils/set_cuda_devices_for_ci.py",
"repo_id": "transformers",
"token_count": 338
} | 425 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# 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... | transformers/utils/update_metadata.py/0 | {
"file_path": "transformers/utils/update_metadata.py",
"repo_id": "transformers",
"token_count": 6399
} | 426 |
include settings.ini
include LICENSE
include CONTRIBUTING.md
include README.md
recursive-exclude * __pycache__ | trl/MANIFEST.in/0 | {
"file_path": "trl/MANIFEST.in",
"repo_id": "trl",
"token_count": 33
} | 427 |
#!/bin/bash
# This script runs an SFT example end-to-end on a tiny model using different possible configurations
# but defaults to QLoRA + PEFT
OUTPUT_DIR="test_dpo/"
MODEL_NAME="trl-internal-testing/tiny-random-LlamaForCausalLM"
DATASET_NAME="trl-internal-testing/hh-rlhf-helpful-base-trl-style"
MAX_STEPS=5
BATCH_SIZE=... | trl/commands/run_dpo.sh/0 | {
"file_path": "trl/commands/run_dpo.sh",
"repo_id": "trl",
"token_count": 645
} | 428 |
# Reward Modeling
TRL supports custom reward modeling for anyone to perform reward modeling on their dataset and model.
Check out a complete flexible example at [`examples/scripts/reward_modeling.py`](https://github.com/huggingface/trl/tree/main/examples/scripts/reward_modeling.py).
## Expected dataset format
The [... | trl/docs/source/reward_trainer.mdx/0 | {
"file_path": "trl/docs/source/reward_trainer.mdx",
"repo_id": "trl",
"token_count": 1145
} | 429 |
import sys
from dataclasses import dataclass, field
from typing import Optional
from datasets import load_dataset
from huggingface_hub import HfApi
from huggingface_hub.repocard import RepoCard
from transformers import HfArgumentParser
"""
# debug
python -i examples/datasets/anthropic_hh.py --debug --push_to_hub
# a... | trl/examples/datasets/anthropic_hh.py/0 | {
"file_path": "trl/examples/datasets/anthropic_hh.py",
"repo_id": "trl",
"token_count": 1798
} | 430 |
# 0. imports
import os
from dataclasses import dataclass, field
from typing import Dict, Optional
import torch
from accelerate import Accelerator
from datasets import Dataset, load_dataset
from peft import LoraConfig
from transformers import AutoModelForCausalLM, AutoTokenizer, HfArgumentParser, set_seed
from trl imp... | trl/examples/research_projects/stack_llama_2/scripts/dpo_llama2.py/0 | {
"file_path": "trl/examples/research_projects/stack_llama_2/scripts/dpo_llama2.py",
"repo_id": "trl",
"token_count": 3921
} | 431 |
# flake8: noqa
# 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... | trl/examples/scripts/dpo_online.py/0 | {
"file_path": "trl/examples/scripts/dpo_online.py",
"repo_id": "trl",
"token_count": 1589
} | 432 |
# 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... | trl/scripts/log_example_reports.py/0 | {
"file_path": "trl/scripts/log_example_reports.py",
"repo_id": "trl",
"token_count": 2269
} | 433 |
# Copyright 2023 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... | trl/tests/test_data_collator_completion_only.py/0 | {
"file_path": "trl/tests/test_data_collator_completion_only.py",
"repo_id": "trl",
"token_count": 2884
} | 434 |
# Copyright 2023 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... | trl/tests/test_reward_trainer.py/0 | {
"file_path": "trl/tests/test_reward_trainer.py",
"repo_id": "trl",
"token_count": 8137
} | 435 |
# BCO Authors: Seungjae Jung, Gunsoo Han, Daniel Wontae Nam and Kyoung-Woon On
# 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
#
# ... | trl/trl/trainer/bco_trainer.py/0 | {
"file_path": "trl/trl/trainer/bco_trainer.py",
"repo_id": "trl",
"token_count": 30850
} | 436 |
# ORPO Authors: Jiwoo Hong, Noah Lee, and James Thorne
# Official code: https://github.com/xfactlab/orpo
# 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 c... | trl/trl/trainer/orpo_trainer.py/0 | {
"file_path": "trl/trl/trainer/orpo_trainer.py",
"repo_id": "trl",
"token_count": 20909
} | 437 |
# Big model inference benchmarks
Running inference with Accelerate on big models.
## Setup
These benchmarks use the `transformers` library:
```bash
pip install transformers
```
To reproduce or test a new setup, run
```py
python inference_acc.py model_name
```
This script supports `gpt-j-6b`, `gpt-neox`, `opt` (3... | accelerate/benchmarks/big_model_inference/README.md/0 | {
"file_path": "accelerate/benchmarks/big_model_inference/README.md",
"repo_id": "accelerate",
"token_count": 702
} | 0 |
- sections:
- local: index
title: 🤗 Accelerate
- local: basic_tutorials/install
title: Installation
- local: quicktour
title: Quicktour
title: Getting started
- sections:
- local: basic_tutorials/overview
title: Overview
- local: basic_tutorials/migration
title: Add Accelerate to your c... | accelerate/docs/source/_toctree.yml/0 | {
"file_path": "accelerate/docs/source/_toctree.yml",
"repo_id": "accelerate",
"token_count": 1394
} | 1 |
<!--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/concept_guides/training_tpu.md/0 | {
"file_path": "accelerate/docs/source/concept_guides/training_tpu.md",
"repo_id": "accelerate",
"token_count": 2214
} | 2 |
<!--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/usage_guides/megatron_lm.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/megatron_lm.md",
"repo_id": "accelerate",
"token_count": 9583
} | 3 |
# 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/by_feature/fsdp_with_peak_mem_tracking.py/0 | {
"file_path": "accelerate/examples/by_feature/fsdp_with_peak_mem_tracking.py",
"repo_id": "accelerate",
"token_count": 7835
} | 4 |
# This config template is for a multi-node setup. This assumes DDP, but can be interop'd with the other configs in this folder
# Generally it's recommended to look at the SLURM config template for a more robust multi-node setup
distributed_type: MULTI_GPU
# We need to specify the current machine's rank
machine_rank: 0
... | accelerate/examples/config_yaml_templates/multi_node.yaml/0 | {
"file_path": "accelerate/examples/config_yaml_templates/multi_node.yaml",
"repo_id": "accelerate",
"token_count": 216
} | 5 |
#!/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/cluster.py/0 | {
"file_path": "accelerate/src/accelerate/commands/config/cluster.py",
"repo_id": "accelerate",
"token_count": 18908
} | 6 |
#!/usr/bin/env python
# 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
#
# Unles... | accelerate/src/accelerate/commands/merge.py/0 | {
"file_path": "accelerate/src/accelerate/commands/merge.py",
"repo_id": "accelerate",
"token_count": 776
} | 7 |
# 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 applicabl... | accelerate/src/accelerate/test_utils/testing.py/0 | {
"file_path": "accelerate/src/accelerate/test_utils/testing.py",
"repo_id": "accelerate",
"token_count": 8346
} | 8 |
# 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/operations.py/0 | {
"file_path": "accelerate/src/accelerate/utils/operations.py",
"repo_id": "accelerate",
"token_count": 12879
} | 9 |
# 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 applicabl... | accelerate/tests/test_metrics.py/0 | {
"file_path": "accelerate/tests/test_metrics.py",
"repo_id": "accelerate",
"token_count": 744
} | 10 |
# 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/utils/log_reports.py/0 | {
"file_path": "accelerate/utils/log_reports.py",
"repo_id": "accelerate",
"token_count": 3046
} | 11 |
# Model arguments
model_name_or_path: mistral-community/Mixtral-8x22B-v0.1
model_revision: main
torch_dtype: bfloat16
attn_implementation: flash_attention_2
# Data training arguments
chat_template: "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n... | alignment-handbook/recipes/zephyr-141b-A35b/orpo/config_full.yaml/0 | {
"file_path": "alignment-handbook/recipes/zephyr-141b-A35b/orpo/config_full.yaml",
"repo_id": "alignment-handbook",
"token_count": 521
} | 12 |
__version__ = "0.3.0.dev0"
from .configs import DataArguments, DPOConfig, H4ArgumentParser, ModelArguments, SFTConfig
from .data import apply_chat_template, get_datasets
from .decontaminate import decontaminate_humaneval
from .model_utils import (
get_checkpoint,
get_kbit_device_map,
get_peft_config,
g... | alignment-handbook/src/alignment/__init__.py/0 | {
"file_path": "alignment-handbook/src/alignment/__init__.py",
"repo_id": "alignment-handbook",
"token_count": 309
} | 13 |
# Creating apps
| candle/candle-book/src/apps/README.md/0 | {
"file_path": "candle/candle-book/src/apps/README.md",
"repo_id": "candle",
"token_count": 4
} | 14 |
# Running a model
In order to run an existing model, you will need to download and use existing weights.
Most models are already available on https://huggingface.co/ in [`safetensors`](https://github.com/huggingface/safetensors) format.
Let's get started by running an old model : `bert-base-uncased`.
| candle/candle-book/src/inference/inference.md/0 | {
"file_path": "candle/candle-book/src/inference/inference.md",
"repo_id": "candle",
"token_count": 88
} | 15 |
use crate::benchmarks::{BenchDevice, BenchDeviceHandler};
use candle_core::{
quantized::{self, GgmlDType, QMatMul},
Device, Module, Tensor,
};
use criterion::{black_box, criterion_group, Criterion, Throughput};
use std::time::Instant;
fn run(matmul: &QMatMul, x: &Tensor) {
matmul.forward(x).unwrap();
}
fn... | candle/candle-core/benches/benchmarks/qmatmul.rs/0 | {
"file_path": "candle/candle-core/benches/benchmarks/qmatmul.rs",
"repo_id": "candle",
"token_count": 1085
} | 16 |
pub mod erf;
pub mod kernels;
#[allow(unused)]
trait Cpu<const ARR: usize> {
type Unit;
type Array;
const STEP: usize;
const EPR: usize;
fn n() -> usize;
unsafe fn zero() -> Self::Unit;
unsafe fn zero_array() -> Self::Array;
unsafe fn load(mem_addr: *const f32) -> Self::Unit;
unsaf... | candle/candle-core/src/cpu/mod.rs/0 | {
"file_path": "candle/candle-core/src/cpu/mod.rs",
"repo_id": "candle",
"token_count": 2432
} | 17 |
use crate::{DType, DeviceLocation, Layout, MetalError, Shape};
#[derive(Debug, Clone)]
pub struct MatMulUnexpectedStriding {
pub lhs_l: Layout,
pub rhs_l: Layout,
pub bmnk: (usize, usize, usize, usize),
pub msg: &'static str,
}
/// Main library error type.
#[derive(thiserror::Error, Debug)]
pub enum E... | candle/candle-core/src/error.rs/0 | {
"file_path": "candle/candle-core/src/error.rs",
"repo_id": "candle",
"token_count": 3297
} | 18 |
use super::utils::{
get_scale_min_k4, group_for_dequantization, group_for_quantization, make_q3_quants,
make_qkx1_quants, make_qx_quants, nearest_int,
};
use super::GgmlDType;
use crate::Result;
use byteorder::{ByteOrder, LittleEndian};
use half::f16;
use rayon::prelude::*;
// Default to QK_K 256 rather than 6... | candle/candle-core/src/quantized/k_quants.rs/0 | {
"file_path": "candle/candle-core/src/quantized/k_quants.rs",
"repo_id": "candle",
"token_count": 42652
} | 19 |
use std::str::FromStr;
pub fn get_num_threads() -> usize {
// Respond to the same environment variable as rayon.
match std::env::var("RAYON_NUM_THREADS")
.ok()
.and_then(|s| usize::from_str(&s).ok())
{
Some(x) if x > 0 => x,
Some(_) | None => num_cpus::get(),
}
}
pub fn... | candle/candle-core/src/utils.rs/0 | {
"file_path": "candle/candle-core/src/utils.rs",
"repo_id": "candle",
"token_count": 389
} | 20 |
use candle_core::{test_device, test_utils, DType, Device, IndexOp, Result, Tensor, D};
fn zeros(device: &Device) -> Result<()> {
let tensor = Tensor::zeros((5, 2), DType::F32, device)?;
let (dim1, dim2) = tensor.dims2()?;
assert_eq!(dim1, 5);
assert_eq!(dim2, 2);
Ok(())
}
fn ones(device: &Device) ... | candle/candle-core/tests/tensor_tests.rs/0 | {
"file_path": "candle/candle-core/tests/tensor_tests.rs",
"repo_id": "candle",
"token_count": 26107
} | 21 |
# candle-examples
| candle/candle-examples/README.md/0 | {
"file_path": "candle/candle-examples/README.md",
"repo_id": "candle",
"token_count": 6
} | 22 |
use candle_transformers::models::codegeex4_9b::*;
use clap::Parser;
use candle::{DType, Device, Tensor};
use candle_nn::VarBuilder;
use candle_transformers::generation::LogitsProcessor;
use hf_hub::{Repo, RepoType};
use tokenizers::Tokenizer;
struct TextGeneration {
model: Model,
device: Device,
tokenizer... | candle/candle-examples/examples/codegeex4-9b/main.rs/0 | {
"file_path": "candle/candle-examples/examples/codegeex4-9b/main.rs",
"repo_id": "candle",
"token_count": 3748
} | 23 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle_transformers::models::distilbert::{Config, DistilBertModel, DTYPE};
use anyhow::{Error as E, Result};
use candle::{Device, Tensor};
use candle_nn::VarBuilder;
use clap::Parser;
use hf_hub::{api::... | candle/candle-examples/examples/distilbert/main.rs/0 | {
"file_path": "candle/candle-examples/examples/distilbert/main.rs",
"repo_id": "candle",
"token_count": 1939
} | 24 |
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
use candle_transformers::models::{clip, flux, t5};
use anyhow::{Error as E, Result};
use candle::{IndexOp, Module, Tensor};
use candle_nn::VarBuilder;
use clap::Parser;
use tokenizers::Tokenizer;
#[derive... | candle/candle-examples/examples/flux/main.rs/0 | {
"file_path": "candle/candle-examples/examples/flux/main.rs",
"repo_id": "candle",
"token_count": 4147
} | 25 |
use candle::backend::BackendStorage;
use candle::{CpuStorage, CustomOp1, DType, Device, IndexOp, Layout, Result, Shape, Tensor, D};
use candle_nn::var_builder::ShardedVarBuilder as VarBuilder;
use candle_nn::{Embedding, Linear, Module, RmsNorm};
use cudarc::nccl::safe::{Comm, ReduceOp};
use std::rc::Rc;
use std::sync::... | candle/candle-examples/examples/llama_multiprocess/model.rs/0 | {
"file_path": "candle/candle-examples/examples/llama_multiprocess/model.rs",
"repo_id": "candle",
"token_count": 7294
} | 26 |
# candle-mistral: 7b LLM with Apache 2.0 licensed weights
Mistral-7B-v0.1 is a pretrained generative LLM with 7 billion parameters. It outperforms all the publicly available 13b models
as of 2023-09-28. Weights (and the original Python model code) are released under the permissive Apache 2.0 license.
- [Blog post](ht... | candle/candle-examples/examples/mistral/README.md/0 | {
"file_path": "candle/candle-examples/examples/mistral/README.md",
"repo_id": "candle",
"token_count": 829
} | 27 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use anyhow::{Error as E, Result};
use clap::{Parser, ValueEnum};
use candle_transformers::models::olmo::{Config, Model as OLMo};
use candle::{DType, Device, Tensor};
use candle_examples::token_output_stre... | candle/candle-examples/examples/olmo/main.rs/0 | {
"file_path": "candle/candle-examples/examples/olmo/main.rs",
"repo_id": "candle",
"token_count": 4042
} | 28 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use clap::{Parser, ValueEnum};
use std::io::Write;
use tokenizers::Tokenizer;
use candle::quantized::{ggml_file, gguf_file};
use candle::Tensor;
use candle_transformers::generation::{LogitsProcessor, Sampl... | candle/candle-examples/examples/quantized/main.rs/0 | {
"file_path": "candle/candle-examples/examples/quantized/main.rs",
"repo_id": "candle",
"token_count": 12719
} | 29 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use clap::{Parser, ValueEnum};
use candle::{DType, IndexOp, D};
use candle_nn::{Module, VarBuilder};
use candle_transformers::models::repvgg;
#[derive(Clone, Copy, Debug, ValueEnum)]
enum Which {
A0,
... | candle/candle-examples/examples/repvgg/main.rs/0 | {
"file_path": "candle/candle-examples/examples/repvgg/main.rs",
"repo_id": "candle",
"token_count": 1525
} | 30 |
# candle-stable-diffusion: A Diffusers API in Rust/Candle
_A rusty robot holding a fire torch in its hand_, generated by Stable Diffusion
XL using Rust and [candle](https://github.com/huggingface/candle).
The `stable-diffusion` example is a conversion... | candle/candle-examples/examples/stable-diffusion/README.md/0 | {
"file_path": "candle/candle-examples/examples/stable-diffusion/README.md",
"repo_id": "candle",
"token_count": 935
} | 31 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use clap::Parser;
use candle::{DType, IndexOp, D};
use candle_nn::VarBuilder;
use candle_transformers::models::vit;
#[derive(Parser)]
struct Args {
#[arg(long)]
model: Option<String>,
#[arg(l... | candle/candle-examples/examples/vit/main.rs/0 | {
"file_path": "candle/candle-examples/examples/vit/main.rs",
"repo_id": "candle",
"token_count": 762
} | 32 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle_transformers::object_detection::{non_maximum_suppression, Bbox};
mod darknet;
use anyhow::Result;
use candle::{DType, Device, Tensor};
use candle_nn::{Module, VarBuilder};
use clap::Parser;
use ... | candle/candle-examples/examples/yolo-v3/main.rs/0 | {
"file_path": "candle/candle-examples/examples/yolo-v3/main.rs",
"repo_id": "candle",
"token_count": 3179
} | 33 |
use std::io::prelude::*;
pub trait Sample {
fn to_i16(&self) -> i16;
}
impl Sample for f32 {
fn to_i16(&self) -> i16 {
(self.clamp(-1.0, 1.0) * 32767.0) as i16
}
}
impl Sample for f64 {
fn to_i16(&self) -> i16 {
(self.clamp(-1.0, 1.0) * 32767.0) as i16
}
}
impl Sample for i16 {
... | candle/candle-examples/src/wav.rs/0 | {
"file_path": "candle/candle-examples/src/wav.rs",
"repo_id": "candle",
"token_count": 729
} | 34 |
/******************************************************************************
* Copyright (c) 2024, Tri Dao.
******************************************************************************/
#pragma once
#include <cute/tensor.hpp>
namespace flash {
using namespace cute;
template <typename Engine, typename Layout... | candle/candle-flash-attn/kernels/mask.h/0 | {
"file_path": "candle/candle-flash-attn/kernels/mask.h",
"repo_id": "candle",
"token_count": 6255
} | 35 |
#include "cuda_fp16.h"
#include "cuda_bf16.h"
// Table showing which features are supported on which compute capability
// https://docs.nvidia.com/cuda/cuda-c-programming-guide/#features-and-technical-specifications
// FIXME: the minimum compute capabilities are just guesses since the table is not specific enough
#i... | candle/candle-kernels/src/compatibility.cuh/0 | {
"file_path": "candle/candle-kernels/src/compatibility.cuh",
"repo_id": "candle",
"token_count": 2734
} | 36 |
#include <metal_stdlib>
using namespace metal;
#define MAX(x, y) ((x) > (y) ? (x) : (y))
template <typename T>
METAL_FUNC void im2col(
constant size_t &dst_numel,
constant size_t &h_out,
constant size_t &w_out,
constant size_t &h_k,
constant size_t &w_k,
constant size_t &stride,
constant ... | candle/candle-metal-kernels/src/conv.metal/0 | {
"file_path": "candle/candle-metal-kernels/src/conv.metal",
"repo_id": "candle",
"token_count": 8944
} | 37 |
[package]
name = "candle-nn"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
readme = "README.md"
[dependencies]
accelerate-src = { workspace = true, optional = true }
candle = { wo... | candle/candle-nn/Cargo.toml/0 | {
"file_path": "candle/candle-nn/Cargo.toml",
"repo_id": "candle",
"token_count": 359
} | 38 |
use candle::{Result, Tensor};
#[derive(Debug, Clone)]
pub struct Cache {
// all_data is an option on a Tensor, this makes it possible to only create the actual tensor
// on the first call where the batch size is easily known.
// Also this makes it safe to clone a KvCache that has been reseted (as in it wil... | candle/candle-nn/src/kv_cache.rs/0 | {
"file_path": "candle/candle-nn/src/kv_cache.rs",
"repo_id": "candle",
"token_count": 1987
} | 39 |
use candle::{Result, Shape, Tensor};
use candle_nn::encoding::one_hot;
#[test]
fn test_i64_one_hot() -> Result<()> {
let device = candle::Device::Cpu;
let indices = Tensor::new(vec![vec![0i64, 2], vec![1, -1]], &device)?;
let depth = 4;
let on_value = 1.0;
let off_value = 0.0;
let one_hot = ... | candle/candle-nn/tests/one_hot.rs/0 | {
"file_path": "candle/candle-nn/tests/one_hot.rs",
"repo_id": "candle",
"token_count": 1592
} | 40 |
fn main() {
pyo3_build_config::add_extension_module_link_args();
}
| candle/candle-pyo3/build.rs/0 | {
"file_path": "candle/candle-pyo3/build.rs",
"repo_id": "candle",
"token_count": 30
} | 41 |
# Generated content DO NOT EDIT
from typing import Any, Callable, Dict, List, Optional, Tuple, Union, Sequence
from os import PathLike
from candle.typing import _ArrayLike, Device, Scalar, Index, Shape
from candle import Tensor, DType, QTensor
class ONNXModel:
"""
A wrapper around an ONNX model.
"""
d... | candle/candle-pyo3/py_src/candle/onnx/__init__.pyi/0 | {
"file_path": "candle/candle-pyo3/py_src/candle/onnx/__init__.pyi",
"repo_id": "candle",
"token_count": 939
} | 42 |
import candle
from candle import Tensor, QTensor
from candle.nn import Module, Linear
from candle.utils import cuda_is_available
import pytest
def test_module_can_be_constructed():
class A(Module):
pass
a = A()
assert a is not None
assert len(list(a.buffers())) == 0
def test_module_registe... | candle/candle-pyo3/tests/bindings/test_module.py/0 | {
"file_path": "candle/candle-pyo3/tests/bindings/test_module.py",
"repo_id": "candle",
"token_count": 1853
} | 43 |
//! Contrastive Language-Image Pre-Training
//!
//! Contrastive Language-Image Pre-Training (CLIP) is an architecture trained on
//! pairs of images with related texts.
//!
//! https://github.com/openai/CLIP
//! https://github.com/huggingface/transformers/tree/f6fa0f0bf0796ac66f201f23bdb8585de1609add/src/transformers/m... | candle/candle-transformers/src/models/clip/mod.rs/0 | {
"file_path": "candle/candle-transformers/src/models/clip/mod.rs",
"repo_id": "candle",
"token_count": 2184
} | 44 |
//! FastViT inference implementation based on timm
//!
//! See "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization"
//! https://arxiv.org/pdf/2303.14189
//!
//! https://github.com/huggingface/pytorch-image-models/blob/main/timm/models/fastvit.py
use candle::{DType, Result, Tensor, D};
use ca... | candle/candle-transformers/src/models/fastvit.rs/0 | {
"file_path": "candle/candle-transformers/src/models/fastvit.rs",
"repo_id": "candle",
"token_count": 7980
} | 45 |
/// A fast implementation of mamba for inference only.
/// This is based on: https://github.com/LaurentMazare/mamba.rs
use crate::models::with_tracing::{linear, linear_no_bias, Linear};
use candle::{DType, Device, IndexOp, Module, Result, Tensor, D};
use candle_nn::{RmsNorm, VarBuilder};
const D_CONV: usize = 4;
const... | candle/candle-transformers/src/models/mamba.rs/0 | {
"file_path": "candle/candle-transformers/src/models/mamba.rs",
"repo_id": "candle",
"token_count": 3846
} | 46 |
use crate::models::with_tracing::{linear_no_bias, Embedding, Linear};
/// MPT model used by replit-code-v1_5-3b
/// https://huggingface.co/replit/replit-code-v1_5-3b/blob/main/modeling_mpt.py
use candle::{DType, Device, IndexOp, Module, Result, Tensor, D};
use candle_nn::{layer_norm, LayerNorm, VarBuilder};
// https:/... | candle/candle-transformers/src/models/mpt.rs/0 | {
"file_path": "candle/candle-transformers/src/models/mpt.rs",
"repo_id": "candle",
"token_count": 5214
} | 47 |
use crate::quantized_nn::{layer_norm_no_bias, linear_no_bias, Embedding, Linear};
pub use crate::quantized_var_builder::VarBuilder;
/// MPT model used by replit-code-v1_5-3b
/// https://huggingface.co/replit/replit-code-v1_5-3b/blob/main/modeling_mpt.py
use candle::{IndexOp, Module, Result, Tensor, D};
use candle_nn::L... | candle/candle-transformers/src/models/quantized_mpt.rs/0 | {
"file_path": "candle/candle-transformers/src/models/quantized_mpt.rs",
"repo_id": "candle",
"token_count": 3726
} | 48 |
use crate::models::with_tracing::{conv2d, linear, Conv2d, Linear};
use candle::{Module, ModuleT, Result, Tensor, D};
use candle_nn::{conv2d_no_bias, layer_norm, Activation, Conv2dConfig, VarBuilder};
use serde::Deserialize;
use std::collections::HashMap;
// https://github.com/huggingface/transformers/blob/main/src/tra... | candle/candle-transformers/src/models/segformer.rs/0 | {
"file_path": "candle/candle-transformers/src/models/segformer.rs",
"repo_id": "candle",
"token_count": 11365
} | 49 |
#![allow(dead_code)]
//! # Diffusion pipelines and models
//!
//! Noise schedulers can be used to set the trade-off between
//! inference speed and quality.
use candle::{Result, Tensor};
pub trait SchedulerConfig: std::fmt::Debug + Send + Sync {
fn build(&self, inference_steps: usize) -> Result<Box<dyn Scheduler>>... | candle/candle-transformers/src/models/stable_diffusion/schedulers.rs/0 | {
"file_path": "candle/candle-transformers/src/models/stable_diffusion/schedulers.rs",
"repo_id": "candle",
"token_count": 934
} | 50 |
use candle::{Module, Result, Tensor};
use candle_nn::{linear, Linear, VarBuilder};
// A simplified version of:
// https://github.com/huggingface/diffusers/blob/119ad2c3dc8a8fb8446a83f4bf6f20929487b47f/src/diffusers/models/attention_processor.py#L38
#[derive(Debug)]
pub struct Attention {
to_q: Linear,
to_k: Li... | candle/candle-transformers/src/models/wuerstchen/attention_processor.rs/0 | {
"file_path": "candle/candle-transformers/src/models/wuerstchen/attention_processor.rs",
"repo_id": "candle",
"token_count": 2076
} | 51 |
[package]
name = "candle-wasm-example-bert"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
[dependencies]
candle = { workspace = true }
candle-nn = { workspace = true }
candle-tran... | candle/candle-wasm-examples/bert/Cargo.toml/0 | {
"file_path": "candle/candle-wasm-examples/bert/Cargo.toml",
"repo_id": "candle",
"token_count": 304
} | 52 |
import snarkdown from "https://cdn.skypack.dev/snarkdown";
import hljs from "https://cdn.skypack.dev/highlight.js";
// models base url
const MODELS = {
moondream2_q4k: {
base_url:
"https://huggingface.co/santiagomed/candle-moondream/resolve/main/",
model: "model-q4_0.gguf",
tokenizer: "tokenizer.jso... | candle/candle-wasm-examples/moondream/code.js/0 | {
"file_path": "candle/candle-wasm-examples/moondream/code.js",
"repo_id": "candle",
"token_count": 2873
} | 53 |
//load the candle SAM Model wasm module
import init, { Model } from "./build/m.js";
async function fetchArrayBuffer(url, cacheModel = true) {
if (!cacheModel)
return new Uint8Array(await (await fetch(url)).arrayBuffer());
const cacheName = "sam-candle-cache";
const cache = await caches.open(cacheName);
con... | candle/candle-wasm-examples/segment-anything/samWorker.js/0 | {
"file_path": "candle/candle-wasm-examples/segment-anything/samWorker.js",
"repo_id": "candle",
"token_count": 1747
} | 54 |
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<title>Welcome to Candle!</title>
<link data-trunk rel="copy-file" href="mel_filters.safetensors" />
<!-- samples -->
<link data-trunk rel="copy-dir" href="audios" />
<!-- tiny.en -->
<link data-trunk rel="copy-dir" href="whi... | candle/candle-wasm-examples/whisper/index.html/0 | {
"file_path": "candle/candle-wasm-examples/whisper/index.html",
"repo_id": "candle",
"token_count": 523
} | 55 |
<html>
<head>
<meta content="text/html;charset=utf-8" http-equiv="Content-Type" />
<title>Candle YOLOv8 Rust/WASM</title>
</head>
<body></body>
</html>
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<style>
... | candle/candle-wasm-examples/yolo/lib-example.html/0 | {
"file_path": "candle/candle-wasm-examples/yolo/lib-example.html",
"repo_id": "candle",
"token_count": 9649
} | 56 |
use candle::quantized::{gguf_file, GgmlDType, QTensor};
use candle::{Device, Result};
use clap::{Parser, Subcommand, ValueEnum};
use rayon::prelude::*;
#[derive(ValueEnum, Debug, Clone)]
enum QuantizationMode {
/// The default quantization includes all 2d tensors, except the output tensor which always
/// uses... | candle/tensor-tools/src/main.rs/0 | {
"file_path": "candle/tensor-tools/src/main.rs",
"repo_id": "candle",
"token_count": 8827
} | 57 |
engine-strict=true
| chat-ui/.npmrc/0 | {
"file_path": "chat-ui/.npmrc",
"repo_id": "chat-ui",
"token_count": 7
} | 58 |
{{- if $.Values.ingress.enabled }}
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
annotations: {{ toYaml .Values.ingress.annotations | nindent 4 }}
labels: {{ include "labels.standard" . | nindent 4 }}
name: {{ include "name" . }}
namespace: {{ .Release.Namespace }}
spec:
{{ if $.Values.ingress.clas... | chat-ui/chart/templates/ingress.yaml/0 | {
"file_path": "chat-ui/chart/templates/ingress.yaml",
"repo_id": "chat-ui",
"token_count": 400
} | 59 |
# LangServe
| Feature | Available |
| --------------------------- | --------- |
| [Tools](../tools) | No |
| [Multimodal](../multimodal) | No |
LangChain applications that are deployed using LangServe can be called with the following config:
```ini
MODELS=`[
{
"name"... | chat-ui/docs/source/configuration/models/providers/langserve.md/0 | {
"file_path": "chat-ui/docs/source/configuration/models/providers/langserve.md",
"repo_id": "chat-ui",
"token_count": 220
} | 60 |
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