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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
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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 …
WEBPythia: Interpreting Transformers Across Time and Scale. This repository is for EleutherAI's project Pythia which combines interpretability analysis and scaling laws to understand …
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: 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, …
WEBAbstract. How do large language models (LLMs) develop and evolve over the course of training? How do these patterns change as models scale? To an-swer these questions, …
WEBPythia: Interpreting Transformers Across Time and Scale. This repository is for EleutherAI's project Pythia which combines interpretability analysis and scaling laws to understand …
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 …
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 …
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 …
EleutherAI/pythia-1.4b-deduped · Hugging Face
WEBWe found no difference in benchmark performance between the two Pythia versions. The old models are still available, but we suggest the retrained suite if you are just starting to …
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 …
The rise of open-source large language models - Exploding …
WEBApr 13, 2023 · Available parameter sizes are 1 25m, 350m, 1.3b, 2.7b, 6.7b, 13b,30b,66b, and 175b. In one-shot and few-shot settings, performance across different datasets and …
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 …
WEBWhen compared with other models like Pythia-1.0B (Biderman et al., 2023) and MPT-1.3B 2, our codebase demonstrates superior training speed. For instance, the TinyLlama-1.1B …
Pythia Eleutherai: Future of AI-Powered Predictive Analytics
WEBJan 1, 2024 · The exact sizes are 70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. Uses of pythia eleutherai. The basic aim of the Pythia project was to comprehend the working of …
Models - CRFM HELM - Read the Docs
WEBEdit on GitHub. Models. Text Models. AI21 Labs. J1-Jumbo v1 (178B) — ai21/j1-jumbo. Jurassic-1 Jumbo (178B parameters) ( docs, tech report ). J1-Large v1 (7.5B) — ai21/j1 …
WEBpythia-1b pythia-1b. llama-7b llama-7b. 1.5. Self-Repairing Behavior. 0.5. −0.5. Early-Layer Breakage. −1 0% 20% 40% 60% 80% 100% %th Layer in Model. Figure 1. We measure …
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. …
[2402.12560] CausalGym: Benchmarking causal interpretability …
WEBFeb 19, 2024 · To illustrate how CausalGym can be used, we study the pythia models (14M--6.9B) and assess the causal efficacy of a wide range of interpretability methods, …
Complexity of avian evolution revealed by family-level genomes
WEBApr 1, 2024 · Based on the chicken genomic annotation, we identified 1 kb loci which had overlap with exons (14,355 loci) or introns (16,617 loci) and created smaller datasets …
OneBit: Towards Extremely Low-bit Large Language Models
WEB5 days ago · Pythia-1.0B A well-trained model released by EleutherAI whose memory footprint is 1.54x that of our OneBit-7B model. TinyLLaMA-1.1B [ 42 ] A model with the …
AstroPT: Scaling Large Observation Models for Astronomy
WEB3 days ago · The Pythia family of models are described in Biderman et al. , the GPT-Neo-125M model is described in Black et al. , and the OPT-125M model is described in …
Concept-1K: A Novel Benchmark for Instance Incremental …
WEBThe backbone model is in {Pythia-70M, 160M, 410M, 1B, 1.4B, 2.8B}. The pretraining step is in {0, 16, 128, 1000, 10000, 143000 (final version)}. Each point represents the result of …
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