id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
value |
|---|---|---|
hugging_face/495_50_0.txt | Already on GitHub? [ Sign in
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account | |
hugging_face/hfquantizer_3_0.txt | * [ Log In ](/login)
* [ Sign Up ](/join) | |
hugging_face/modelquantizationwit_4_0.txt | [ Write
](/m/signin?operation=register&redirect=https%3A%2F%2Fmedium.com%2Fnew-
story&source=---two_column_layout_nav-----------------------
new_post_topnav-----------) | |
hugging_face/495_147_0.txt | None yet | |
hugging_face/modelquantizationwit_48_0.txt | from transformers import BitsAndBytesConfig | |
hugging_face/quantization_181_0.txt | * **model** ( ` ~transformers.PreTrainedModel ` ) — The model to quantize
* **kwargs** ( ` dict ` , _optional_ ) — The keyword arguments that are passed along ` _process_model_before_weight_loading ` . | |
hugging_face/modelquantizationwit_27_0.txt | pip install git+https://github.com/huggingface/accelerate.git | |
hugging_face/quantization_75_0.txt | ( in_group_size : int = 8 out_group_size : int = 1 num_codebooks : int =
1 nbits_per_codebook : int = 16 linear_weights_not_to_quantize : Optional
= None **kwargs ) | |
hugging_face/hfquantizer_29_0.txt | [ CPU inference ](/docs/transformers/main/en/perf_infer_cpu) [ GPU inference
](/docs/transformers/main/en/perf_infer_gpu_one) | |
hugging_face/modelquantizationwit_15_0.txt | [
](/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fvote%2Fp%2Fb4c9983e8996&operation=register&redirect=https%3A%2F%2Fmedium.com%2F%40rakeshrajpurohit%2Fmodel-
quantization-with-hugging-face-transformers-and-bitsandbytes-
integration-b4c9983e8996&user=Rakesh+Rajpurohit&userId=67d4227cd655&source=-----b4c9983e8996
--... | |
hugging_face/495_15_0.txt | * [ Learning Pathways ](https://resources.github.com/learn/pathways)
* [ White papers, Ebooks, Webinars ](https://resources.github.com)
* [ Customer Stories ](https://github.com/customer-stories)
* [ Partners ](https://partner.github.com) | |
hugging_face/quantization_152_0.txt | [ < source >
](https://github.com/huggingface/transformers/blob/v4.40.1/src/transformers/quantizers/base.py#L90) | |
hugging_face/modelquantizationwit_88_0.txt | [
](/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fbookmark%2Fp%2Fb4c9983e8996&operation=register&redirect=https%3A%2F%2Fmedium.com%2F%40rakeshrajpurohit%2Fmodel-
quantization-with-hugging-face-transformers-and-bitsandbytes-
integration-b4c9983e8996&source=--------------------------bookmark_footer-----------) | |
hugging_face/hfquantizer_44_0.txt | Reinforcement learning models | |
hugging_face/495_34_0.txt | Query | |
hugging_face/495_137_0.txt | # +-----------------------------------------------------------------------------------------+
# | Processes: |
# | GPU GI CI PID Type Process name GPU Memory |
# | ID ID ... | |
hugging_face/495_143_0.txt | No one assigned | |
hugging_face/hfquantizer_32_0.txt | [ How to contribute to 🤗 Transformers?
](/docs/transformers/main/en/contributing) [ How to add a model to 🤗
Transformers? ](/docs/transformers/main/en/add_new_model) [ How to add a
pipeline to 🤗 Transformers? ](/docs/transformers/main/en/add_new_pipeline) [
Testing ](/docs/transformers/main/en/testing) [ Checks o... | |
hugging_face/modelquantizationwit_101_0.txt | ](https://medium.statuspage.io/?source=post_page-----
b4c9983e8996--------------------------------) | |
hugging_face/quantization_139_0.txt | Dictionary of all the attributes that make up this configuration instance, | |
hugging_face/quantization_67_0.txt | This is a wrapper class about all possible attributes and features that you
can play with a model that has been loaded using ` quanto ` . | |
hugging_face/hugging_face_4_0.txt |  Sentence-Transformers
[  ](https://twitter.com/Nils_Reimers
"Follow SBERT on Twitter")
Overview
* [ Installation ](docs/installation.html)
* [ Quickstart ](docs/quickstart.html)
* [ Pretrained Models ](docs/pretrained_models.html)
* [ Pretrained C... | |
hugging_face/quantization_72_0.txt | ## AqlmConfig | |
hugging_face/hfquantizer_2_0.txt | * [ Pricing ](/pricing)
* * * * * | |
hugging_face/quantization_90_0.txt | #### post_init | |
hugging_face/quantization_18_0.txt | Computer Vision | |
hugging_face/quantization_60_0.txt | Learn how to quantize models in the [ Quantization ](../quantization) guide. | |
hugging_face/quantization_38_0.txt | Models | |
hugging_face/hfquantizer_58_0.txt | # Contribute new quantization method | |
hugging_face/modelquantizationwit_55_0.txt | ## Nested Quantization for Memory Efficiency | |
hugging_face/modelquantizationwit_81_0.txt | [ Hugging Face ](/tag/hugging-face?source=post_page-----b4c9983e8996
---------------hugging_face-----------------) | |
hugging_face/quantization_9_0.txt | main v4.40.1 v4.39.3 v4.38.2 v4.37.2 v4.36.1 v4.35.2 v4.34.1 v4.33.3
v4.32.1 v4.31.0 v4.30.0 v4.29.1 v4.28.1 v4.27.2 v4.26.1 v4.25.1
v4.24.0 v4.23.1 v4.22.2 v4.21.3 v4.20.1 v4.19.4 v4.18.0 v4.17.0
v4.16.2 v4.15.0 v4.14.1 v4.13.0 v4.12.5 v4.11.3 v4.10.1 v4.9.2 v4.8.2
v4.7.0 v4.6.0 v4.5.1 ... | |
hugging_face/quantization_41_0.txt | Audio models | |
hugging_face/495_60_0.txt | ## Comments | |
hugging_face/quantization_188_0.txt | Override this method if you want to pass a override the existing device map
with a new one. E.g. for bitsandbytes, since ` accelerate ` is a hard
requirement, if no device_map is passed, the device_map is set to `“auto”“ | |
hugging_face/quantization_33_0.txt | Conceptual guides | |
hugging_face/quantization_186_0.txt | Parameters | |
hugging_face/quantization_86_0.txt | ( bits : int = 4 group_size : int = 128 zero_point : bool = True
version : AWQLinearVersion = <AWQLinearVersion.GEMM: 'gemm'> backend :
AwqBackendPackingMethod = <AwqBackendPackingMethod.AUTOAWQ: 'autoawq'> do_fuse
: Optional = None fuse_max_seq_len : Optional = None modules_to_fuse :
Optional = None modul... | |
hugging_face/495_122_0.txt | Copy link | |
hugging_face/quantization_130_0.txt | #### quantization_method | |
hugging_face/modelquantizationwit_93_0.txt | ](/@rakeshrajpurohit?source=post_page-----
b4c9983e8996--------------------------------) | |
hugging_face/495_129_0.txt | ####### Addition for Quantization #######
llm.model=None
gc.collect() | |
hugging_face/495_7_0.txt | Explore | |
hugging_face/495_12_0.txt | By Solution | |
hugging_face/495_83_0.txt | [
](/arnavsinghvi11) | |
hugging_face/quantization_196_0.txt | [ < source >
](https://github.com/huggingface/transformers/blob/v4.40.1/src/transformers/quantizers/base.py#L66) | |
hugging_face/quantization_49_0.txt |  | |
hugging_face/modelquantizationwit_106_0.txt | Blog | |
hugging_face/495_98_0.txt | --- | |
hugging_face/quantization_50_0.txt | Join the Hugging Face community | |
hugging_face/modelquantizationwit_28_0.txt | Install latest transformers from source and bitsandbytes: | |
hugging_face/495_13_0.txt | * [ CI/CD & Automation ](https://github.com/solutions/ci-cd)
* [ DevOps ](https://github.com/solutions/devops)
* [ DevSecOps ](https://resources.github.com/devops/fundamentals/devsecops) | |
hugging_face/495_157_0.txt | * [ Terms ](https://docs.github.com/site-policy/github-terms/github-terms-of-service)
* [ Privacy ](https://docs.github.com/site-policy/privacy-policies/github-privacy-statement)
* [ Security ](https://github.com/security)
* [ Status ](https://www.githubstatus.com/)
* [ Docs ](https://docs.github.com/)
* [ Contact ](ht... | |
hugging_face/quantization_143_0.txt | [ < source >
](https://github.com/huggingface/transformers/blob/v4.40.1/src/transformers/quantizers/base.py#L28) | |
hugging_face/quantization_98_0.txt | Parameters | |
hugging_face/495_8_0.txt | * [ All features ](https://github.com/features)
* [ Documentation ](https://docs.github.com)
* [ GitHub Skills ](https://skills.github.com)
* [ Blog ](https://github.blog) | |
hugging_face/495_31_0.txt | # Saved searches | |
hugging_face/495_104_0.txt | Collaborator | |
hugging_face/modelquantizationwit_5_0.txt | [ ](/search?source=---two_column_layout_nav----------------------------------) | |
hugging_face/quantization_119_0.txt | This is a wrapper class about all possible attributes and features that you
can play with a model that has been loaded using ` bitsandbytes ` . | |
hugging_face/quantization_184_0.txt | [ < source >
](https://github.com/huggingface/transformers/blob/v4.40.1/src/transformers/quantizers/base.py#L78) | |
hugging_face/quantization_137_0.txt | Returns | |
hugging_face/495_155_0.txt | [ ](https://github.com "GitHub") © 2024 GitHub, Inc. | |
hugging_face/quantization_134_0.txt | #### to_diff_dict | |
hugging_face/495_121_0.txt | [ 
](/learnbott) | |
hugging_face/quantization_115_0.txt | [ < source >
](https://github.com/huggingface/transformers/blob/v4.40.1/src/transformers/utils/quantization_config.py#L182) | |
hugging_face/495_96_0.txt | **[ ujjawal-ti ](/ujjawal-ti) ** commented Mar 3, 2024 | |
hugging_face/hfquantizer_66_0.txt | def forward(self, x):
return my_4bit_kernel(x, self.weight, self.bias) | |
hugging_face/quantization_165_0.txt | #### get_special_dtypes_update | |
hugging_face/495_142_0.txt | Assignees | |
hugging_face/quantization_97_0.txt | ( bits : int tokenizer : Any = None dataset : Union = None group_size
: int = 128 damp_percent : float = 0.1 desc_act : bool = False sym :
bool = True true_sequential : bool = True use_cuda_fp16 : bool = False
model_seqlen : Optional = None block_name_to_quantize : Optional = None
module_name_preced... | |
hugging_face/495_57_0.txt | [ ujjawal-ti ](/ujjawal-ti) opened this issue Feb 29, 2024 · 6 comments | |
hugging_face/modelquantizationwit_109_0.txt | ](https://policy.medium.com/medium-privacy-
policy-f03bf92035c9?source=post_page-----
b4c9983e8996--------------------------------) | |
hugging_face/quantization_173_0.txt | ( model : PreTrainedModel **kwargs ) | |
hugging_face/495_127_0.txt | import gc
import dspy
from transformers import AutoModelForCausalLM, BitsAndBytesConfig
from peft import LoraConfig, get_peft_model, prepare_model_for_kbit_training | |
hugging_face/modelquantizationwit_43_0.txt | print(model.get_memory_footprint()) | |
hugging_face/495_40_0.txt | {{ message }} | |
hugging_face/quantization_118_0.txt | * **load_in_8bit** ( ` bool ` , _optional_ , defaults to ` False ` ) — This flag is used to enable 8-bit quantization with LLM.int8().
* **load_in_4bit** ( ` bool ` , _optional_ , defaults to ` False ` ) — This flag is used to enable 4-bit quantization by replacing the Linear layers with FP4/NF4 layers from ` bitsandby... | |
hugging_face/495_107_0.txt | [ HFModel
](https://github.com/stanfordnlp/dspy/blob/b2816c4a35e3144a06752423de1afb8e68e1005f/dsp/modules/hf.py)
is the alternate to TGI for hosting local models but not recommended as it
does not have the extensive coverage/support that TGI offers (especially for
quantization). | |
hugging_face/hfquantizer_72_0.txt | 2. Create a new file inside [ src/transformers/quantizers/ ](https://github.com/huggingface/transformers/tree/abbffc4525566a48a9733639797c812301218b83/src/transformers/quantizers) named ` quantizer_your_method.py ` , and make it inherit from [ src/transformers/quantizers/base.py::HfQuantizer ](https://github.com/huggin... | |
hugging_face/quantization_35_0.txt | API | |
hugging_face/495_145_0.txt | [ adapters ](/stanfordnlp/dspy/labels/adapters) Adapters and Integrations to
other libraries | |
hugging_face/495_151_0.txt | No branches or pull requests | |
hugging_face/hfquantizer_45_0.txt | Time series models | |
hugging_face/495_86_0.txt | ### | |
hugging_face/hfquantizer_73_0.txt | 3. Define the following class attributes/property methods for your quantization method: | |
hugging_face/modelquantizationwit_64_0.txt | # Exploring Advanced techniques and configuration | |
hugging_face/495_32_0.txt | ## Use saved searches to filter your results more quickly | |
hugging_face/modelquantizationwit_6_0.txt | Sign up | |
hugging_face/modelquantizationwit_24_0.txt | # Hugging Face and Bitsandbytes Uses | |
hugging_face/hugging_face_0_4.txt | 0-r4-web.pdf) . However, to the best of our knowledge, there are
no open-source W4A8 quantization kernels available, but this may well be [ an
interesting direction to explore
](https://www.qualcomm.com/news/onq/2023/04/floating-point-arithmetic-for-ai-
inference-hit-or-miss) .
On the kernel side as well, designing pe... | |
hugging_face/495_30_0.txt | Cancel Submit feedback | |
hugging_face/495_51_0.txt | Jump to bottom | |
hugging_face/quantization_167_0.txt | ( model torch_dtype : torch.dtype ) | |
hugging_face/495_56_0.txt | # How to use any quantized huggingface transformers model #495 | |
hugging_face/quantization_110_0.txt | [ < source >
](https://github.com/huggingface/transformers/blob/v4.40.1/src/transformers/utils/quantization_config.py#L602) | |
hugging_face/quantization_194_0.txt | Override this method if you want to adjust the ` missing_keys ` . | |
hugging_face/hfquantizer_48_0.txt | [ Custom Layers and Utilities
](/docs/transformers/main/en/internal/modeling_utils) [ Utilities for
pipelines ](/docs/transformers/main/en/internal/pipelines_utils) [ Utilities
for Tokenizers ](/docs/transformers/main/en/internal/tokenization_utils) [
Utilities for Trainer ](/docs/transformers/main/en/internal/train... | |
hugging_face/hfquantizer_4_0.txt | Transformers documentation | |
hugging_face/modelquantizationwit_102_0.txt | About |
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