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EleutherAI/pythia-1b · 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 below to see plots of evaluation results for all Pythia and Pythia-deduped models … See more
- Training data
- The Pile is a 825GiB general-purpose dataset in English. It was created by EleutherAI specifically for training large l…
- Training procedure
- All models were train… See more
GitHub - EleutherAI/pythia: The hub for EleutherAI's work on ...
WEBmain. README. Apache-2.0 license. Pythia: Interpreting Transformers Across Time and Scale. This repository is for EleutherAI's project Pythia which combines interpretability …
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Pythia — EleutherAI
WEBFeb 13, 2023 · Releases. Blog. Pythia. Model. 13 Feb. Written By Stella Biderman. A suite of 16 models with 154 partially trained checkpoints designed to enable controlled …
Papers with Code - Pythia: A Suite for Analyzing Large Language …
WEBHow do large language models (LLMs) develop and evolve over the course of training? How do these patterns change as models scale? To answer these questions, we introduce …
WEBIn this paper we introduce Pythia, a suite of decoder-only autoregressive language models ranging from 70M to 12B parameters designed specifically to facilitate such scientific …
Early Weight Averaging meets High Learning Rates for LLM Pre …
WEBDec 11, 2023 · Furthermore, we extend our evaluation to publicly available Pythia LLMs (Biderman et al., 2023), which include model sizes of 1B, 2.8B, 6.9B, and 12B, trained …
Pythia: A Suite for Analyzing Large Language Models Across
WEBApr 5, 2023 · How do large language models (LLMs) develop and evolve over the course of training? How do these patterns change as models scale? To answer these questions, …
pythia/README.md at main · EleutherAI/pythia · GitHub
WEBPythia: Interpreting Transformers Across Time and Scale. This repository is for EleutherAI's project Pythia which combines interpretability analysis and scaling laws to understand …
Pythia: A Suite for Analyzing Large Language Models Across …
WEBApr 3, 2023 · 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 …
Reweighting: Refining AI with Precision and Efficiency
WEBNov 9, 2023 · This post explores the application of reweighting to the pythia-1b model, leveraging insights gained from the Horizon dataset through a method validated on …
A List of 1 Billion+ Parameter LLMs - Matt Rickard
WEBApr 10, 2023 · A list of the ones I know about (this is an evolving document). GPT-J (6B) (EleutherAI) GPT-Neo (1.3B, 2.7B, 20B) (EleutherAI) Pythia (1B, 1.4B, 2.8B, 6.9B, 12B) …
Pythia Eleutherai: Future of AI-Powered Predictive Analytics
WEBJan 1, 2024 · These 16 large language models are divided into two sets. The exact sizes are 70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. Uses of pythia eleutherai. The …
Pythia-1b Finetune Instruction | pythia-instruction-finetune – …
WEBPythia-1b Finetune Instruction | pythia-instruction-finetune – Weights & Biases. - Finetune train set: The 52002 instructions from nuggets (aka Golden Score Candidates …
OPT vs. Pythia: Which LLM is Better? | Sapling
WEB1B, 1.4B, 2.8B, 6.9B, 12B. Get Advice. Side-by-side comparison of OPT and Pythia with feature breakdowns and pros/cons of each large language model.
WEBSpecifically, TinyLlama surpasses both OPT-1.3B (Zhang et al., 2022) and Pythia-1.4B (Biderman et al., 2023) in various downstream tasks. Our TinyLlama is open-source, …
What is the smallest ggml model available? : r/LocalLLaMA - Reddit
WEBI think my Pythia Deduped conversions (70M, 160M, 410M, and 1B in particular) will be of interest to you: https://huggingface.co/Merry/ggml-pythia-deduped. The smallest one I …
Dahoas/pythia-1B-static-sft · Hugging Face
WEBSpace using Dahoas/pythia-1B-static-sft 1. We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Fine-Tuning LoRA Models for Enhanced Performance
WEBSep 28, 2023 · You could argue that if you are fine-tuning, you might as well choose a smaller model — say Pythia 1B. This requires 2000GB GPU RAM, which is 50 …
Finetune LLM (LLAMA, GPT-Neo, GPT-J, Pythia) in Google Colab
WEBIn this tutorial, I tried to show you how you can train an LLM model using your custom dataset. I used Open Assist dataset to finetune pythia-1.4b-deduped LLM model. …
WEBAdditionally, we present results for publicly available Pythia LLMs, ranging from 1B to 12B, which were trained on the PILE-deduped dataset containing 207B tokens. Code is …
Pythia 1B Trained Parameters LoRA Fine-tuning Compare
WEBPythia 1B Trained Parameters LoRA Fine-tuning Compare | zh-tw-llm – Weights & Biases. Pokai Chang. Login to comment. . Compare Trained Parameters. Comparing LoRA …
Any Quantitized or Small 1b-1.5 b Model that i can run aside
WEBPythia Deduped (2022), which Pygmalion 1.3B was based on. They aren't specialized for chatting, just for plain text generation, but it's still worth trying! GPT-2 (2019), including …
- Some results have been removed
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