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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 … See more
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WebThis repository is for EleutherAI's project Pythia which combines interpretability analysis and scaling laws to understand how knowledge develops and evolves during training in …
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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 …
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 …
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 …
WebDec 11, 2023 · We study the Pythia-1B model with held-out subset of PILE-bookcorpus2. Additionally, we also provide training trajectory of Pythia-1B model on a subset of PILE …
WebPythia: Interpreting Transformers Across Time and Scale. This repository is for EleutherAI's project Pythia which combines interpretability analysis and scaling laws to understand …
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 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: 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 …
The rise of open-source large language models - Exploding …
WebApr 13, 2023 · Pythia. The Pythia language model suite is a collection of LLMs developed by EleutherAI to facilitate interpretability research. The models were trained using the …
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 basic …
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, …
Pythia-1b Finetune Instruction | pythia-instruction-finetune – …
WebPythia-1b Finetune Instruction - Finetune train set: The 52002 instructions from nuggets (aka Golden Score Candidates Set) - Finetune eval set: The 100 instructions via kmeans …
Next-Generation Language Model for On-Device Natural …
WebJul 25, 2023 · In this paper, we demonstrate the effectiveness of fine-tuning by training the Pythia-1B model on an instruction database. This allows the smaller model to benefit …
Models - CRFM HELM - Read the Docs
WebIt utilizes the MPT architecture and a custom SEABPETokenizer for tokenization. SEA-LION Instruct (7B) — aisingapore/sea-lion-7b-instruct. SEA-LION is a collection of language …
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 …
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.
WebIntroduction. Interpretability efforts aim to reveal human-understandable behaviors in large language model components. A common interpretability technique is model ablations, …
Pythia 1B Trained Parameters LoRA Fine-tuning Compare
Web. Compare Trained Parameters. Comparing LoRA fine-tuning with ShareGPT dataset, mixed English and Chinese. Brown: Fine-tune after training only embed …
WebFalcon’s pretraining data was partially released (Almazrouei et al., 2023), and the most open models—the Pythia suite (Biderman et al., 2023) and BLOOM (BigScience et al., …
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