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EleutherAI/pythia-70m · Hugging Face
- Intended Use
- The primary intended use of Pythia is research on the behavior, functionality, and limitations of large language models. This suite is intended to provide a controlled s…
- Out-of-scope use See more
- 1. Developed by: EleutherAI
- 2. Model type: Transformer-based Language Model
- 3. Language: English
- 4. Learn more: Pythia's GitHub repository for training procedure… See more
All 16 Pythia models were evaluated using the LM Evaluation Harness. You can access the results by model and step at results/json/* in the GitHub repository. Expand the sections … See more
- Training data
- The Pile is a 825GiB general-purpose dataset in English. It was created by Ele…
- Training procedure
- All models were trained on the exact same data, in the exact sam… See more
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GitHub - EleutherAI/pythia: The hub for EleutherAI's work on ...
Webpythia-{size}-v0 models on Huggingface of sizes 160m, 410m, 1.4b were trained with a batch size of 4M tokens across 71500 steps and checkpointed every 500 steps.
Models - Hugging Face
WebMar 22, 2023 · Dahoas/pythia-synthetic-6B-static-sft. Text Generation • Updated Jan 19, 2023 • 5. We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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Pythia: A Suite for Analyzing Large Language Models Across …
WebApr 3, 2023 · How do these patterns change as models scale? To answer these questions, we introduce \textit {Pythia}, a suite of 16 LLMs all trained on public data seen in the exact same order and ranging in size from 70M to 12B parameters.
Pythia: A Suite of 16 LLMs for In-Depth Research - KDnuggets
WebAug 1, 2023 · Pythia by Eleuther AI is a suite of 16 LLMs trained on publicly available Pile and deduplicated Pile datasets. The size of the LLMs range from 70M to 12B parameters. The training data and model checkpoints are open-source and it is possible to reconstruct the exact training data loaders.
Pythia Eleutherai: Future of AI-Powered Predictive Analytics
WebJan 1, 2024 · Pythia Eleutherai checkpoints are available on the Hugging Face website. Check the model name whose checkpoints you need. Say, if you are working on the Pythia-6.9b model and need its checkpoints, search for “EleutherAI/pythia-6.9b”. Download the list of checkpoints from the “Checkpoints” tab.
How to Use ML Models from Hugging Face in Vercel Functions
WebIn this guide, we will walk you through the process of using ML models from Hugging Face using Vercel AI SDK, which provides a set of utilities to make it easy to use Hugging Face's APIs.
GitHub - EleutherAI/gpt-neox: An implementation of model …
WebPredefined configurations for popular architectures including Pythia, PaLM, Falcon, and LLaMA 1 & 2; Curriculum Learning; Easy connections with the open source ecosystem, including Hugging Face's tokenizers and transformers libraries, logging via WandB, and evaluation via our Language Model Evaluation Harness.
[2109.12021] Pythia: A Customizable Hardware Prefetching …
WebSep 24, 2021 · In this paper, we make a case for designing a holistic prefetch algorithm that learns to prefetch using multiple different types of program context and system-level feedback information inherent to its design. To this end, we propose Pythia, which formulates the prefetcher as a reinforcement learning agent.
[1410.3012] An Introduction to PYTHIA 8.2 - arXiv.org
WebOct 11, 2014 · The PYTHIA program is a standard tool for the generation of events in high-energy collisions, comprising a coherent set of physics models for the evolution from a few-body hard process to a complex multiparticle final state.
Hugging Face · GitHub
WebLightweight web API for visualizing and exploring all types of datasets - computer vision, speech, text, and tabular - stored on the Hugging Face Hub
Pygmalion AI: Expectations’ Ability to Shape Reality - Medium
WebMay 30, 2023 · The Pythia models can be accessed through Hugging Face. The Pythia model suite was intentionally designed to encourage scientific exploration of large language models, particularly in the...
EleutherAI/pythia-12b - Demo - DeepInfra
WebWe also provide 154 intermediate checkpoints per model, hosted on Hugging Face as branches. The Pythia model suite was deliberately designed to promote scientific research on large language models, especially interpretability research.
GitHub - togethercomputer/OpenChatKit
WebPythia-Chat-Base-7B is a 7B-parameter fine-tuned variant of Pythia-6.9B-deduped from Eleuther AI. Pre-trained weights for this model are available on Hugging Face as togethercomputer/Pythia-Chat-Base-7B under an Apache 2.0 license.
Free Dolly: Introducing the World's First Truly Open Instruction …
WebApr 12, 2023 · To download Dolly 2.0 model weights simply visit the Databricks Hugging Face page and visit the Dolly repo on databricks-labs to download the databricks-dolly-15k dataset. And join our webinar to discover how you can harness LLMs for your organization.
An Overview of Hugging Face Diffusers - KDnuggets
Web17 hours ago · Diffusers is a Python library developed and maintained by HuggingFace. It simplifies the development and inference of Diffusion models for generating images from user-defined prompts. The code is openly available on GitHub with 22.4k stars on the repository. HuggingFace also maintains a wide variety of Stable DIffusion and various …
Pythia v0.1: the Winning Entry to the VQA Challenge 2018
WebJul 26, 2018 · This document describes Pythia v0.1, the winning entry from Facebook AI Research (FAIR)'s A-STAR team to the VQA Challenge 2018. Our starting point is a modular re-implementation of the bottom-up top-down (up-down) model.
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