Model reference · open weights

gpt-neox

gpt-neox is an open-weight language model from EleutherAI, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

LLMs EleutherAI 1 variants 786k downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What gpt-neox is

GPT-NeoX-20B is a 20 billion parameter autoregressive language model trained on the Pile using the [GPT-NeoX library](https://github.com/EleutherAI/gpt-neox). Its architecture intentionally resembles that of GPT-3, and is almost identical to that of [GPT-J- 6B](https://huggingface.co/EleutherAI/gpt-j-6B). Its training dataset contains a multitude of English-language texts, reflecting the general-purpose nature of this model. See the accompanying paper for details about model architecture (including how it differs from GPT-3), training procedure, and additional evaluations. Model details - Developed by: EleutherAI - Model type: Transformer-based Language Model - Language: English - Learn more: [GPT-NeoX-20B: An Open-Source Autoregressive Language Model](https://arxiv.org/abs/2204.06745). For details about the training dataset, see the Pile paper, and [its data sheet](https://arxiv.org/abs/2201.07311). - License: Apache 2.0 - Contact: to ask questions about this model, join the [EleutherAI Discord](https://discord.gg/zBGx3azzUn), and post them in #release-discussion. Please read the existing GPT-NeoX-20B documentation before asking about the model on Discord. For general correspondence: [contact@eleuther. ai](mailto:contact@eleuther.ai). Uses and limitations Intended use GPT-NeoX-20B was developed primarily for research purposes. It learns an inner representation of the English language that can be used to extract features useful for downstream tasks. In addition to scientific uses, you may also further fine-tune and adapt GPT-NeoX-20B for deployment, as long as your use is in accordance with the Apache 2.0 license. This model works with the [Transformers Library](https://huggingface.co/docs/transformers/index). If you decide to use pre-trained GPT-NeoX-20B as a basis for your fine-tuned model, please note that you need to conduct your own risk and bias assessment. Out-of-scope use GPT-NeoX-20B is not intended for deployment as-is. It is not a product and cannot be used for human-facing interactions without supervision. GPT-NeoX-20B has not been fine-tuned for downstream tasks for which language models are commonly deployed, such as writing genre prose, or commerc

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

MakerEleutherAI
TypeLanguage models
Parameters (lead)20.7B
Context2k tokens
Variants1
Runs withtransformers
Released2022-04-07
Popularity786k downloads / month
Likes585
LicenceOpen weights

How it works

How language models work

Your prompttext / messagesTransformerattention over tokensNext-token loopgenerate + streamResponsetext · tool callsA language model reads your tokens and predicts the next one, again and again, streaming the reply back.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
gpt-neox-20b20.7BBF16~47.7 GBWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys gpt-neox for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (gpt-neox below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-neox","messages":[{"role":"user","content":"Hello"}]}'

Details

Languages, data & research

Languages

en

Trained / evaluated on

EleutherAI/pile

Tags

transformers pytorch safetensors gpt_neox text-generation causal-lm en dataset:EleutherAI/pile text-generation-inference endpoints_compatible deploy:azure

Papers

Licence

Open weights

Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗

Sources

Weights & code

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