id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
value |
|---|---|---|
hugging_face/modelquantizationwit_54_0.txt | model_nf4 = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=nf4_config) | |
hugging_face/modelquantizationwit_38_0.txt | For further memory optimization, you can load a model in 8-bit quantization.
This can be achieved by using the ` load_in_8bit=True ` argument when calling
` .from_pretrained ` . This reduces the memory footprint by approximately
half. | |
hugging_face/hfquantizer_31_0.txt | Contribute | |
hugging_face/quantization_64_0.txt | ( weights = 'int8' activations = None modules_to_not_convert : Optional
= None **kwargs ) | |
hugging_face/quantization_3_0.txt | * [ Log In ](/login)
* [ Sign Up ](/join) | |
hugging_face/modelquantizationwit_104_0.txt | Careers | |
hugging_face/hugging_face_3_2.txt | paces, _interactive apps for demonstrating ML models directly in your browser_ .
The Hub offers **versioning, commit history, diffs, branches, and over a dozen
library integrations** ! You can learn more about the features that all
repositories share in the [ **Repositories documentation** ](./repositories) .
## Mo... | |
hugging_face/modelquantizationwit_91_0.txt | [
](/m/signin?actionUrl=%2F_%2Fapi%2Fsubscriptions%2Fnewsletters%2F1baa47f8bb11&operation=register&redirect=https%3A%2F%2Fmedium.com%2F%40rakeshrajpurohit%2Fmodel-
quantization-with-hugging-face-transformers-and-bitsandbytes-
integration-b4c9983e8996&newsletterV3=67d4227cd655&newsletterV3Id=1baa47f8bb11&user=Rakesh+Raj... | |
hugging_face/modelquantizationwit_23_0.txt | Quantization is a technique used to reduce the precision of numerical values
in a model. Instead of using high-precision data types, such as 32-bit
floating-point numbers, quantization represents values using lower-precision
data types, such as 8-bit integers. This process significantly reduces memory
usage and can spe... | |
hugging_face/495_0_0.txt | Skip to content | |
hugging_face/modelquantizationwit_1_0.txt | Sign up | |
hugging_face/495_3_0.txt | [ ](https://github.com/) | |
hugging_face/modelquantizationwit_44_0.txt | # Other Use cases: | |
hugging_face/quantization_140_0.txt | Removes all attributes from config which correspond to the default config
attributes for better readability and serializes to a Python dictionary. | |
hugging_face/quantization_155_0.txt | * **torch_dtype** ( ` torch.dtype ` , _optional_ ) — The torch_dtype that is used to compute the device_map. | |
hugging_face/quantization_183_0.txt | #### update_device_map | |
hugging_face/quantization_8_0.txt | Search documentation | |
hugging_face/hfquantizer_38_0.txt | Models | |
hugging_face/quantization_58_0.txt | Quantization techniques reduce memory and computational costs by representing
weights and activations with lower-precision data types like 8-bit integers
(int8). This enables loading larger models you normally wouldn’t be able to
fit into memory, and speeding up inference. Transformers supports the AWQ and
GPTQ quantiz... | |
hugging_face/495_28_0.txt | We read every piece of feedback, and take your input very seriously. | |
hugging_face/quantization_87_0.txt | Parameters | |
hugging_face/hugging_face_2_1.txt | b documentation
The Hugging Face Hub is a platform with over 350k models, 75k datasets, and
150k demo apps (Spaces), all open source and publicly available, in an online
platform where people can easily collaborate and build ML together. The Hub
works as a central place where anyone can explore, experiment, collaborat... | |
hugging_face/hfquantizer_22_0.txt | Developer guides | |
hugging_face/hfquantizer_74_0.txt | * ` requires_calibration ` : Whether the quantization method requires a data calibration process. If set to ` True ` , you can only support inference (with quantized weights) and not inference and quantization.
* ` required_packages ` : A list of strings of the required packages to use the quantized weights. You might ... | |
hugging_face/hugging_face_2_3.txt | repositories** ](./organizations-security) , and manage their organization’s [
payment method and billing info ](https://huggingface.co/pricing) . Machine
Learning is more fun when collaborating! 🔥
[ Explore existing organizations ](https://huggingface.co/organizations) ,
create a new organization [ here ](https://hu... | |
hugging_face/quantization_84_0.txt | ### class transformers. AwqConfig | |
hugging_face/modelquantizationwit_14_0.txt | Aug 20, 2023 | |
hugging_face/modelquantizationwit_99_0.txt | ](https://help.medium.com/hc/en-us?source=post_page-----
b4c9983e8996--------------------------------) | |
hugging_face/modelquantizationwit_92_0.txt | ## Written by Rakesh Rajpurohit | |
hugging_face/495_37_0.txt | [ Sign in
](/login?return_to=https%3A%2F%2Fgithub.com%2Fstanfordnlp%2Fdspy%2Fissues%2F495) | |
hugging_face/495_101_0.txt | [
](/thomasahle) [ thomasahle ](/thomasahle) added the [ adapters
](/stanfordnlp/dspy/labels/adapters) Adapters and Integrations to other
libraries label Mar 4, 2024 | |
hugging_face/495_134_0.txt | ###### Before quantization
# +-----------------------------------------------------------------------------------------+
# | NVIDIA-SMI 550.54.14 Driver Version: 550.54.14 CUDA Version: 12.4 |
# |-----------------------------------------+------------------------+----------------------+
# | GPU Na... | |
hugging_face/495_144_0.txt | Labels | |
hugging_face/495_93_0.txt | Copy link | |
hugging_face/495_156_0.txt | ### Footer navigation | |
hugging_face/quantization_200_0.txt | Some quantization methods require to explicitly set the dtype of the model to
a target dtype. You need to override this method in case you want to make sure
that behavior is preserved | |
hugging_face/modelquantizationwit_20_0.txt | Introduction: | |
hugging_face/495_84_0.txt | Copy link | |
hugging_face/quantization_71_0.txt | Safety checker that arguments are correct | |
hugging_face/quantization_174_0.txt | Parameters | |
hugging_face/495_29_0.txt | Include my email address so I can be contacted | |
hugging_face/495_113_0.txt | Author | |
hugging_face/quantization_93_0.txt | Safety checker that arguments are correct | |
hugging_face/495_126_0.txt | FWIW [ @ujjawal-ti ](https://github.com/ujjawal-ti) , I think this will work | |
hugging_face/hfquantizer_41_0.txt | Audio models | |
hugging_face/quantization_133_0.txt | This method returns the quantization method used for the model. If the model
is not quantizable, it returns ` None ` . | |
hugging_face/quantization_83_0.txt | ## AwqConfig | |
hugging_face/hfquantizer_56_0.txt | [ Sign Up ](/join) | |
hugging_face/quantization_29_0.txt | [ CPU inference ](/docs/transformers/en/perf_infer_cpu) [ GPU inference
](/docs/transformers/en/perf_infer_gpu_one) | |
hugging_face/quantization_5_0.txt | Quantization | |
hugging_face/495_105_0.txt | ### | |
hugging_face/modelquantizationwit_83_0.txt | [ Large Language Models ](/tag/large-language-models?source=post_page-----
b4c9983e8996---------------large_language_models-----------------) | |
hugging_face/495_138_0.txt | --- | |
hugging_face/quantization_198_0.txt | Parameters | |
hugging_face/quantization_122_0.txt | #### is_quantizable | |
hugging_face/quantization_177_0.txt | #### preprocess_model | |
hugging_face/495_35_0.txt | To see all available qualifiers, see our [ documentation
](https://docs.github.com/search-github/github-code-search/understanding-
github-code-search-syntax) . | |
hugging_face/quantization_176_0.txt | Post-process the model post weights loading. Make sure to override the
abstract method ` _process_model_after_weight_loading ` . | |
hugging_face/quantization_42_0.txt | Video models | |
hugging_face/hfquantizer_40_0.txt | Vision models | |
hugging_face/hfquantizer_67_0.txt | This way, Transformers models can be easily quantized by replacing some
instances of ` nn.Linear ` with a target class. | |
hugging_face/quantization_190_0.txt | [ < source >
](https://github.com/huggingface/transformers/blob/v4.40.1/src/transformers/quantizers/base.py#L102) | |
hugging_face/495_85_0.txt | Collaborator | |
hugging_face/495_41_0.txt | [ stanfordnlp ](/stanfordnlp) / **[ dspy ](/stanfordnlp/dspy) ** Public | |
hugging_face/hfquantizer_25_0.txt | [ Overview ](/docs/transformers/main/en/performance) [ LLM inference
optimization ](/docs/transformers/main/en/llm_optims) [ Quantization
](/docs/transformers/main/en/quantization) | |
hugging_face/modelquantizationwit_36_0.txt | tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", load_in_4bit=True) | |
hugging_face/quantization_7_0.txt | 🏡 View all docs AWS Trainium & Inferentia Accelerate Amazon SageMaker
AutoTrain Bitsandbytes Competitions Dataset viewer Datasets Diffusers
Evaluate Google TPUs Gradio Hub Hub Python Library Huggingface.js
Inference API (serverless) Inference Endpoints (dedicated) Optimum PEFT
Safetensors Sentence Tra... | |
hugging_face/495_97_0.txt | [ @koshyviv ](https://github.com/koshyviv) [ @arnavsinghvi11
](https://github.com/arnavsinghvi11) , Actually I want to use it locally
without TGI. | |
hugging_face/quantization_44_0.txt | Reinforcement learning models | |
hugging_face/hfquantizer_1_0.txt | * [ Models ](/models)
* [ Datasets ](/datasets)
* [ Spaces ](/spaces)
* [ Posts ](/posts)
* [ Docs ](/docs)
* Solutions | |
hugging_face/quantization_73_0.txt | ### class transformers. AqlmConfig | |
hugging_face/quantization_1_0.txt | * [ Models ](/models)
* [ Datasets ](/datasets)
* [ Spaces ](/spaces)
* [ Posts ](/posts)
* [ Docs ](/docs)
* Solutions | |
hugging_face/modelquantizationwit_3_0.txt | [ ](/?source=---two_column_layout_nav----------------------------------) | |
hugging_face/quantization_59_0.txt | Quantization techniques that aren’t supported in Transformers can be added
with the ` HfQuantizer ` class. | |
hugging_face/hfquantizer_34_0.txt | [ Philosophy ](/docs/transformers/main/en/philosophy) [ Glossary
](/docs/transformers/main/en/glossary) [ What 🤗 Transformers can do
](/docs/transformers/main/en/task_summary) [ How 🤗 Transformers solve tasks
](/docs/transformers/main/en/tasks_explained) [ The Transformer model family
](/docs/transformers/main/en/mo... | |
hugging_face/495_118_0.txt | All reactions | |
hugging_face/hugging_face_2_2.txt | paces, _interactive apps for demonstrating ML models directly in your browser_ .
The Hub offers **versioning, commit history, diffs, branches, and over a dozen
library integrations** ! You can learn more about the features that all
repositories share in the [ **Repositories documentation** ](./repositories) .
## Mo... | |
hugging_face/modelquantizationwit_86_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/modelquantizationwit_35_0.txt | model_id = "bigscience/bloom-1b7" | |
hugging_face/quantization_193_0.txt | * **missing_keys** ( ` List[str] ` , _optional_ ) — The list of missing keys in the checkpoint compared to the state dict of the model | |
hugging_face/modelquantizationwit_50_0.txt | ## Using NF4 Data Type | |
hugging_face/hugging_face_3_0.txt | [  Hugging
Face ](/)
* [ Models ](/models)
* [ Datasets ](/datasets)
* [ Spaces ](/spaces)
* [ Posts ](/posts)
* [ Docs ](/docs)
* Solutions
* [ Pricing ](/pricing)
* * * * *
* [ Log In ](/login)
* [ Sign Up ](/join)
Hub docu... | |
hugging_face/quantization_108_0.txt | Safety checker that arguments are correct | |
hugging_face/modelquantizationwit_111_0.txt | ](https://policy.medium.com/medium-terms-of-
service-9db0094a1e0f?source=post_page-----
b4c9983e8996--------------------------------) | |
hugging_face/495_66_0.txt | quantization_config = BitsAndBytesConfig(
load_in_4bit=True,
bnb_4bit_compute_dtype=torch.float16,
bnb_4bit_quant_type="nf4",
bnb_4bit_use_double_quant=True,
) | |
hugging_face/modelquantizationwit_73_0.txt | With the support of adapters in the Hugging Face ecosystem, can fine-tune
models loaded in 8-bit quantization, enabling the fine-tuning of large models
with ease. | |
hugging_face/quantization_199_0.txt | * **torch_dtype** ( ` torch.dtype ` ) — The input dtype that is passed in ` from_pretrained ` | |
hugging_face/quantization_54_0.txt | Switch between documentation themes | |
hugging_face/hfquantizer_20_0.txt | Generation | |
hugging_face/495_25_0.txt | Clear | |
hugging_face/quantization_138_0.txt | ` Dict[str, Any] ` | |
hugging_face/quantization_100_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 ` optimum ` api for gptq
quantization relying on auto_gptq backend. | |
hugging_face/hfquantizer_50_0.txt |  | |
hugging_face/495_5_0.txt | * Product | |
hugging_face/quantization_203_0.txt | ( *args **kwargs ) | |
more_polar_functions/LazyFrame_63_5.txt | l)
* [ polars.LazyFrame.select ](polars.LazyFrame.select.html)
* [ polars.LazyFrame.select_seq ](polars.LazyFrame.select_seq.html)
* [ polars.LazyFrame.set_sorted ](polars.LazyFrame.set_sorted.html)
* [ polars.LazyFrame.shift ](polars.LazyFrame.shift.html)
* [ polars.LazyFrame.shift_and_fi... | |
more_polar_functions/List_20_16.txt | ](../../expressions/api/polars.count.html)
* [ polars.cov ](../../expressions/api/polars.cov.html)
* [ polars.cum_count ](../../expressions/api/polars.cum_count.html)
* [ polars.cum_fold ](../../expressions/api/polars.cum_fold.html)
* [ polars.cum_reduce ](../../expressions/api/polars.cum_reduc... | |
more_polar_functions/input_output_9_23.txt | * [ polars.Expr.dt.day ](../expressions/api/polars.Expr.dt.day.html)
* [ polars.Expr.dt.days ](../expressions/api/polars.Expr.dt.days.html)
* [ polars.Expr.dt.dst_offset ](../expressions/api/polars.Expr.dt.dst_offset.html)
* [ polars.Expr.dt.epoch ](../expressions/api/polars.Expr.dt.epoch.html)
... | |
more_polar_functions/input_output_33_1.txt | ars.DataFrame.__dataframe__ ](../dataframe/api/polars.DataFrame.__dataframe__.html)
* [ polars.DataFrame.to_arrow ](../dataframe/api/polars.DataFrame.to_arrow.html)
* [ polars.DataFrame.to_dict ](../dataframe/api/polars.DataFrame.to_dict.html)
* [ polars.DataFrame.to_dicts ](../dataframe/api/polars.Da... | |
more_polar_functions/Expression_3_21.txt | tlecase.html)
* [ polars.Expr.str.to_time ](polars.Expr.str.to_time.html)
* [ polars.Expr.str.to_uppercase ](polars.Expr.str.to_uppercase.html)
* [ polars.Expr.str.zfill ](polars.Expr.str.zfill.html)
* [ Struct ](../struct.html) __
* [ polars.Expr.struct.field ](polars.Expr.struct.field.html... |
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