llm-gpt-neox
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
-
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.7%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: tilde-nlp
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 73 MB
Statistics
- Stars: 0
- Watchers: 4
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README-MUP.md
How to use Mup (https://github.com/microsoft/mup)
Add mup neox args to your config
```
mup
"use-mup": true,
"save-base-shapes": false, # this only needs to be enabled once in order to generate the base-shapes-file on each rank
"base-shapes-file": "base-shapes", # load base shapes from this file
"coord-check": false, # generate coord check plots to verify mup's implementation in neox
mup hp search
"mup-init-scale": 1.0,
"mup-attn-temp": 1.0,
"mup-output-temp": 1.0,
"mup-embedding-mult": 1.0,
"mup-rp-embedding-mult": 1.0, ```
Generate base shapes
- Set use-mup to true
- Set save-base-shapes to true
- Run once. gpt-neox will instantiate a base model and a delta model, then save one file per rank named
. . gpt-neox will exit immediately. - Set save-base-shapes to false
Generate coord check plots (optional)
- Keep use-mup true
- Set coord-check to true
- Run once. gpt-neox will output jpg images similar to https://github.com/microsoft/mutransformers/blob/main/README.md#coord-check. gpt-neox will exit immediately
- Set coord-check to false
Tune mup hyperparameters and LR
The values under mup hp search were added and correspond to appendix F.4 from https://arxiv.org/pdf/2203.03466.pdf. These and LR are tuned with a random search using the scaled-up config (tested with 6-7B.yml) but with hidden-size set to the value from the scaled-down config (125M.yml).
Transfer
With the best LR set and the best mup HPs set, revert the value of hidden-size in the scaled-up config and run again.
Owner
- Name: Tilde
- Login: tilde-nlp
- Kind: organization
- Location: Riga, Latvia
- Website: http://www.tilde.com
- Repositories: 58
- Profile: https://github.com/tilde-nlp
Citation (CITATION.cff)
# YAML 1.2
---
authors:
- affiliation: EleutherAI
family-names: Andonian
given-names: Alex
- affiliation: EleutherAI
family-names: Anthony
given-names: Quentin
- affiliation: EleutherAI
family-names: Biderman
given-names: Stella
- affiliation: EleutherAI
family-names: Black
given-names: Sid
- affiliation: EleutherAI
family-names: Gali
given-names: Preetham
- affiliation: EleutherAI
family-names: Gao
given-names: Leo
- affiliation: EleutherAI
family-names: Hallahan
given-names: Eric
- affiliation: EleutherAI
family-names: Levy-Kramer
given-names: Josh
- affiliation: EleutherAI
family-names: Leahy
given-names: Connor
- affiliation: EleutherAI
family-names: Nestler
given-names: Lucas
- affiliation: EleutherAI
family-names: Parker
given-names: Kip
- affiliation: EleutherAI
family-names: Pieler
given-names: Michael
- affiliation: EleutherAI
family-names: Phang
given-names: Jason
- affiliation: EleutherAI
family-names: Purohit
given-names: Shivanshu
- affiliation: EleutherAI
family-names: Schoelkopf
given-names: Hailey
- affiliation: EleutherAI
family-names: Stander
given-names: Dashiell
- affiliation: EleutherAI
family-names: Songz
given-names: Tri
- affiliation: EleutherAI
family-names: Tigges
given-names: Curt
- affiliation: EleutherAI
family-names: Thérien
given-names: Benjamin
- affiliation: EleutherAI
family-names: Wang
given-names: Phil
- affiliation: EleutherAI
family-names: Weinbach
given-names: Samuel
cff-version: "1.1.0"
keywords:
- "Transformers"
- "Massive language model"
- "Autoregressive language model"
license: "Apache-2.0"
message: "If you use this software, please cite it using these metadata."
repository-code: "https://www.github.com/eleutherai/gpt-neox"
title: "GPT-NeoX: Large Scale Autoregressive Language Modeling in PyTorch"
version: "2.0.0"
doi: "10.5281/zenodo.5879544"
date-released: 2021-08-23
...
GitHub Events
Total
- Delete event: 3
- Issue comment event: 1
- Member event: 2
- Push event: 158
- Pull request review event: 5
- Pull request review comment event: 3
- Pull request event: 7
- Fork event: 1
- Create event: 5
Last Year
- Delete event: 3
- Issue comment event: 1
- Member event: 2
- Push event: 158
- Pull request review event: 5
- Pull request review comment event: 3
- Pull request event: 7
- Fork event: 1
- Create event: 5
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 0
- Total pull requests: 5
- Average time to close issues: N/A
- Average time to close pull requests: 3 days
- Total issue authors: 0
- Total pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 5
- Average time to close issues: N/A
- Average time to close pull requests: 3 days
- Issue authors: 0
- Pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- SilverSulfide (4)
- iPRET (1)
Top Labels
Issue Labels
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Dependencies
- ./tests/cpu_tests * composite
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- actions/checkout v2 composite
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- actions/setup-python v4 composite
- docker/build-push-action v2 composite
- docker/setup-buildx-action v1 composite
- pre-commit/action v2.0.3 composite
- actions/checkout v4 composite
- actions/setup-python v4 composite
- nvcr.io/nvidia/pytorch 24.02-py3 build
- leogao2/gpt-neox main
- gpt-neox latest
- gpt-neox latest
- pip ==23.3.2
- comet_ml >=3.45.0
- autopep8 >=1.5.6 development
- clang-format >=13.0.1 development
- packaging >=23.0 development
- pre-commit >=2.17.0 development
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- pytest-html ==4.1.1 development
- pytest-xdist * development
- toml >=0.10.2 development
- flash-attn ==2.5.6
- causal_conv1d >=1.1.0
- einops *
- mamba_ssm >=1.2.0.post1
- cupy-cuda111 >=8.6.0
- boto3 *
- hf-transfer >=0.1.3
- triton ==2.1.0
- tensorboard ==2.13.0
- wandb >=0.10.28
- ftfy >=6.0.1
- huggingface_hub >=0.11.0
- jinja2 ==3.1.4
- lm_eval >=0.4.0,<=0.4.1
- mpi4py >=3.0.3
- numpy <2.0
- pybind11 >=2.6.2
- regex *
- sentencepiece *
- six *
- tiktoken >=0.1.2
- tokenizers >=0.12.1
- transformers ==4.38.0