REPOGEO REPORT · LITE

EleutherAI/gpt-neo

Default branch master · commit 23485e3c · scanned 5/23/2026, 4:52:16 PM

GitHub: 8,277 stars · 961 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

33 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

2 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface EleutherAI/gpt-neo, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highabout#1

Update the repository description to reflect its archived status

Why:

CURRENT

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

COPY-PASTE FIX

Archived implementation of model parallel GPT-2 and GPT-3-style models, preserved for historical reference and access to original pre-trained weights (via HuggingFace).

mediumtopics#2

Add 'archived', 'legacy', and 'pretrained-models' to the topics list

Why:

CURRENT

gpt, gpt-2, gpt-3, language-model, transformers

COPY-PASTE FIX

gpt, gpt-2, gpt-3, language-model, transformers, archived, legacy, pretrained-models

lowreadme#3

Add a dedicated 'Status and Successors' section to the README

Why:

COPY-PASTE FIX

## Status and Successors

This repository is **archived as of August 2021** and is no longer actively maintained. It is preserved here for historical reference and for those who wish to continue using the original code or access the pre-trained models.

For active development and GPU-specific implementations, please refer to our successor project, [GPT-NeoX](https://github.com/EleutherAI/gpt-neox).

If you are primarily interested in using our pre-trained GPT-Neo models, we strongly recommend utilizing the [HuggingFace Transformers integration](https://huggingface.co/EleutherAI/gpt-neo-1.3B) for easier access and usage.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface EleutherAI/gpt-neo

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

DeepSpeed

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

DeepSpeed · recommended 1×
Megatron-LM · recommended 1×
FairScale · recommended 1×
Colossal-AI · recommended 1×
Hugging Face Accelerate · recommended 1×

CATEGORY QUERY
What tools exist for implementing GPT-style models with model parallelism?
you: not recommended
AI recommended (in order):
1. DeepSpeed
2. Megatron-LM
3. FairScale
4. Colossal-AI
5. Hugging Face Accelerate
6. TensorFlow's `tf.distribute` with Mesh TensorFlow
7. JAX
AI recommended 7 alternatives but never named EleutherAI/gpt-neo. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I build custom large language models with advanced attention features?
you: not recommended
AI recommended (in order):
1. PyTorch (pytorch/pytorch)
2. accelerate (huggingface/accelerate)
3. Hugging Face Transformers Library (huggingface/transformers)
4. JAX (google/jax)
5. Flax (google/flax)
6. Haiku (deepmind/dm-haiku)
7. DeepSpeed (microsoft/DeepSpeed)
8. TensorFlow (tensorflow/tensorflow)
9. Keras (keras-team/keras)
10. OpenAI Triton (openai/triton)
AI recommended 10 alternatives but never named EleutherAI/gpt-neo. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of EleutherAI/gpt-neo?
pass
AI did not name EleutherAI/gpt-neo — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts EleutherAI/gpt-neo in production, what risks or prerequisites should they evaluate first?
pass
AI named EleutherAI/gpt-neo explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo EleutherAI/gpt-neo solve, and who is the primary audience?
pass
AI named EleutherAI/gpt-neo explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of EleutherAI/gpt-neo. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/EleutherAI/gpt-neo.svg)](https://repogeo.com/en/r/EleutherAI/gpt-neo)

HTML

<a href="https://repogeo.com/en/r/EleutherAI/gpt-neo"><img src="https://repogeo.com/badge/EleutherAI/gpt-neo.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

EleutherAI/gpt-neo — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite