id stringlengths 16 145 | text stringlengths 1 179k | title stringclasses 1
value |
|---|---|---|
hugging_face/hfquantizer_71_0.txt | 1. Create a new quantization config class inside [ src/transformers/utils/quantization_config.py ](https://github.com/huggingface/transformers/blob/abbffc4525566a48a9733639797c812301218b83/src/transformers/utils/quantization_config.py) and make sure to expose the new quantization config inside Transformers main ` init ... | |
hugging_face/hfquantizer_42_0.txt | Video models | |
hugging_face/modelquantizationwit_108_0.txt | Privacy | |
hugging_face/quantization_24_0.txt | Performance and scalability | |
hugging_face/495_150_0.txt | Development | |
hugging_face/quantization_12_0.txt | [ 🤗 Transformers ](/docs/transformers/en/index) [ Quick tour
](/docs/transformers/en/quicktour) [ Installation
](/docs/transformers/en/installation) | |
hugging_face/modelquantizationwit_13_0.txt | 4 min read | |
hugging_face/495_91_0.txt | Sorry, something went wrong. | |
hugging_face/quantization_99_1.txt | ayers simultaneously since they are independent. Then, we will quantize ` self_attn.o_proj ` layer with the q,k,v layers quantized. This way, we will get better results since it reflects the real input ` self_attn.o_proj ` will get when the model is quantized. | |
hugging_face/hfquantizer_30_0.txt | [ Instantiate a big model ](/docs/transformers/main/en/big_models) [
Debugging ](/docs/transformers/main/en/debugging) [ XLA Integration for
TensorFlow Models ](/docs/transformers/main/en/tf_xla) [ Optimize inference
using `torch.compile()` ](/docs/transformers/main/en/perf_torch_compile) | |
hugging_face/495_36_0.txt | Cancel Create saved search | |
hugging_face/quantization_171_0.txt | #### postprocess_model | |
hugging_face/modelquantizationwit_70_0.txt | ## Skipping the Conversion of Some Modules | |
hugging_face/quantization_157_0.txt | #### check_quantized_param | |
hugging_face/495_117_0.txt | --- | |
hugging_face/495_114_0.txt | ### | |
hugging_face/495_24_0.txt | Search | |
hugging_face/hfquantizer_54_0.txt | Faster examples with accelerated inference | |
hugging_face/495_10_0.txt | For | |
hugging_face/quantization_158_0.txt | [ < source >
](https://github.com/huggingface/transformers/blob/v4.40.1/src/transformers/quantizers/base.py#L135) | |
hugging_face/quantization_62_0.txt | ### class transformers. QuantoConfig | |
hugging_face/495_87_0.txt | **[ arnavsinghvi11 ](/arnavsinghvi11) ** commented Mar 1, 2024 | |
hugging_face/495_100_0.txt | Sorry, something went wrong. | |
hugging_face/modelquantizationwit_0_0.txt | [ Open in app
](https://rsci.app.link/?%24canonical_url=https%3A%2F%2Fmedium.com%2Fp%2Fb4c9983e8996&%7Efeature=LoOpenInAppButton&%7Echannel=ShowPostUnderUser&source=---two_column_layout_nav----------------------------------) | |
hugging_face/495_39_0.txt | You signed in with another tab or window. [ Reload ]() to refresh your
session. You signed out in another tab or window. [ Reload ]() to refresh
your session. You switched accounts on another tab or window. [ Reload ]() to
refresh your session. Dismiss alert | |
hugging_face/quantization_106_0.txt | [ < source >
](https://github.com/huggingface/transformers/blob/v4.40.1/src/transformers/utils/quantization_config.py#L528) | |
hugging_face/modelquantizationwit_9_0.txt | # **Model Quantization with 🤗 Hugging Face Transformers and Bitsandbytes
Integration** | |
hugging_face/modelquantizationwit_113_0.txt | ](https://speechify.com/medium?source=post_page-----
b4c9983e8996--------------------------------) | |
hugging_face/hfquantizer_8_0.txt | Search documentation | |
hugging_face/495_71_0.txt | The text was updated successfully, but these errors were encountered: | |
hugging_face/quantization_112_0.txt | Get compatible dict for optimum gptq config | |
hugging_face/quantization_202_0.txt | [ < source >
](https://github.com/huggingface/transformers/blob/v4.40.1/src/transformers/quantizers/base.py#L160) | |
hugging_face/495_102_0.txt | [
](/arnavsinghvi11) | |
hugging_face/495_38_0.txt | [ Sign up
](/signup?ref_cta=Sign+up&ref_loc=header+logged+out&ref_page=%2F%3Cuser-
name%3E%2F%3Crepo-
name%3E%2Fvoltron%2Fissues_fragments%2Fissue_layout&source=header-
repo&source_repo=stanfordnlp%2Fdspy) | |
hugging_face/quantization_168_0.txt | Parameters | |
hugging_face/quantization_149_0.txt | ( max_memory : Dict ) | |
hugging_face/modelquantizationwit_22_0.txt | # What is Model Quantization? | |
hugging_face/hfquantizer_60_0.txt | This guide will show you how to integrate a new quantization method with the `
HfQuantizer ` class. | |
hugging_face/495_69_0.txt |
How to use this quantized model with dspy? | |
hugging_face/495_135_0.txt | # +-----------------------------------------------------------------------------------------+
# | Processes: |
# | GPU GI CI PID Type Process name GPU Memory |
# | ID ID ... | |
hugging_face/quantization_107_0.txt | ( ) | |
hugging_face/hfquantizer_49_0.txt | You are viewing main version, which requires [ installation from source
](/docs/transformers/installation#install-from-source) . If you'd like regular
pip install, checkout the latest stable version ( [ v4.40.1
](/docs/transformers/v4.40.1/hf_quantizer) ). | |
hugging_face/495_103_0.txt | Copy link | |
hugging_face/495_19_0.txt | Repositories | |
hugging_face/modelquantizationwit_68_0.txt | ## Adjusting Outlier Threshold | |
hugging_face/quantization_45_0.txt | Time series models | |
hugging_face/quantization_82_0.txt | Safety checker that arguments are correct - also replaces some NoneType
arguments with their default values. | |
hugging_face/hfquantizer_77_0.txt | 6. Write the ` _process_model_after_weight_loading ` method. This method enables implementing additional features that require manipulating the model after loading the weights. | |
hugging_face/quantization_103_0.txt | ( config_dict ) | |
hugging_face/modelquantizationwit_100_0.txt | Status | |
hugging_face/modelquantizationwit_87_0.txt | \-- | |
hugging_face/495_9_0.txt | * Solutions | |
hugging_face/495_53_0.txt | Closed | |
hugging_face/hugging_face_4_4.txt | ransformer-model)
* [ Loss Overview ](docs/training/loss_overview.html)
* [ Loss modifiers ](docs/training/loss_overview.html#loss-modifiers)
* [ Distillation ](docs/training/loss_overview.html#distillation)
* [ Commonly used Loss Functions ](docs/training/loss_overview.html#commonly-used-loss-functions)
... | |
hugging_face/quantization_148_0.txt | [ < source >
](https://github.com/huggingface/transformers/blob/v4.40.1/src/transformers/quantizers/base.py#L131) | |
hugging_face/495_62_0.txt | Copy link | |
hugging_face/quantization_92_0.txt | ( ) | |
hugging_face/hugging_face_1_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/quantization_150_0.txt | adjust max_memory argument for infer_auto_device_map() if extra memory is
needed for quantization | |
hugging_face/495_120_0.txt | [
](/arnavsinghvi11) [ arnavsinghvi11 ](/arnavsinghvi11) closed this as [
completed
](/stanfordnlp/dspy/issues?q=is%3Aissue+is%3Aclosed+archived%3Afalse+reason%3Acompleted)
Mar 9, 2024 | |
hugging_face/modelquantizationwit_34_0.txt | from transformers import AutoModelForCausalLM, AutoTokenizer | |
hugging_face/495_76_0.txt | **[ koshyviv ](/koshyviv) ** commented Mar 1, 2024 | |
hugging_face/modelquantizationwit_57_0.txt | from transformers import BitsAndBytesConfig | |
hugging_face/quantization_121_0.txt | Currently only supports ` LLM.int8() ` , ` FP4 ` , and ` NF4 ` quantization.
If more methods are added to ` bitsandbytes ` , then more arguments will be
added to this class. | |
hugging_face/hfquantizer_82_0.txt | Contribute new quantization method Requirements Build a new HF Quantizer
class | |
hugging_face/modelquantizationwit_39_0.txt | from transformers import AutoModelForCausalLM, AutoTokenizer | |
hugging_face/hfquantizer_12_0.txt | [ 🤗 Transformers ](/docs/transformers/main/en/index) [ Quick tour
](/docs/transformers/main/en/quicktour) [ Installation
](/docs/transformers/main/en/installation) | |
hugging_face/495_115_0.txt | **[ ujjawal-ti ](/ujjawal-ti) ** commented Mar 6, 2024 | |
hugging_face/495_158_0.txt | You can’t perform that action at this time. | |
hugging_face/hfquantizer_43_0.txt | Multimodal models | |
hugging_face/quantization_180_0.txt | Parameters | |
hugging_face/quantization_117_0.txt | Parameters | |
hugging_face/hfquantizer_81_0.txt | [ ← Troubleshoot ](/docs/transformers/main/en/troubleshooting) [ Overview →
](/docs/transformers/main/en/performance) | |
hugging_face/quantization_23_0.txt | [ Use fast tokenizers from 🤗 Tokenizers
](/docs/transformers/en/fast_tokenizers) [ Run inference with multilingual
models ](/docs/transformers/en/multilingual) [ Use model-specific APIs
](/docs/transformers/en/create_a_model) [ Share a custom model
](/docs/transformers/en/custom_models) [ Templates for chat models
](... | |
hugging_face/modelquantizationwit_25_0.txt | Hugging Face’s Transformers library is a go-to choice for working with pre-
trained language models. To make the process of model quantization more
accessible, Hugging Face has seamlessly integrated with the Bitsandbytes
library. This integration simplifies the quantization process and empowers
users to achieve efficie... | |
hugging_face/modelquantizationwit_61_0.txt | A quantized model can be loaded with ease using the ` from_pretrained `
method. Make sure the saved weights are quantized by checking the `
quantization_config ` attribute in the model configuration: | |
hugging_face/hfquantizer_5_0.txt | Contribute new quantization method | |
hugging_face/quantization_2_0.txt | * [ Pricing ](/pricing)
* * * * * | |
hugging_face/hfquantizer_53_0.txt | Collaborate on models, datasets and Spaces | |
hugging_face/quantization_43_0.txt | Multimodal models | |
hugging_face/quantization_21_0.txt | Prompting | |
hugging_face/quantization_77_0.txt | * **in_group_size** ( ` int ` , _optional_ , defaults to 8) — The group size along the input dimension.
* **out_group_size** ( ` int ` , _optional_ , defaults to 1) — The group size along the output dimension. It’s recommended to always use 1.
* **num_codebooks** ( ` int ` , _optional_ , defaults to 1) — Number of code... | |
hugging_face/495_77_0.txt | Doesnt answer your question directly - but you can try serving the quantized
model via TGI (text-generation-inference) and use that endpoint in `
HFClientTGI ` | |
hugging_face/quantization_68_0.txt | #### post_init | |
hugging_face/modelquantizationwit_60_0.txt | ## Loading a Quantized Model from the Hub | |
hugging_face/495_45_0.txt | * [ Code ](/stanfordnlp/dspy)
* [ Issues ](/stanfordnlp/dspy/issues)
* [ Pull requests ](/stanfordnlp/dspy/pulls)
* [ Discussions ](/stanfordnlp/dspy/discussions)
* [ Actions ](/stanfordnlp/dspy/actions)
* [ Projects ](/stanfordnlp/dspy/projects)
* [ Security ](/stanfordnlp/dspy/security)
* [ Insights ](/stanfo... | |
hugging_face/quantization_132_0.txt | ( ) | |
hugging_face/hfquantizer_52_0.txt | and get access to the augmented documentation experience | |
hugging_face/modelquantizationwit_94_0.txt | [ 87 Followers ](/@rakeshrajpurohit/followers?source=post_page-----
b4c9983e8996--------------------------------) | |
hugging_face/quantization_179_0.txt | ( model : PreTrainedModel **kwargs ) | |
hugging_face/quantization_111_0.txt | ( ) | |
hugging_face/hugging_face_1_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/hfquantizer_78_0.txt | 7. Document everything! Make sure your quantization method is documented in the [ ` docs/source/en/quantization.md ` ](https://github.com/huggingface/transformers/blob/abbffc4525566a48a9733639797c812301218b83/docs/source/en/quantization.md) file. | |
hugging_face/hfquantizer_10_0.txt | [ ](https://github.com/huggingface/transformers) | |
hugging_face/quantization_11_0.txt | Get started | |
hugging_face/hfquantizer_36_0.txt | Main Classes | |
hugging_face/modelquantizationwit_59_0.txt | model_double_quant = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=double_quant_config) | |
hugging_face/quantization_79_0.txt | #### post_init | |
hugging_face/quantization_74_0.txt | [ < source >
](https://github.com/huggingface/transformers/blob/v4.40.1/src/transformers/utils/quantization_config.py#L797) | |
hugging_face/quantization_114_0.txt | ### class transformers. BitsAndBytesConfig |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.