What are the hardware requirements for GPT Neo 1.3B Cs Finetuning?

GPT Neo 1.3B Cs Finetuning requires approximately 0.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GPT Neo 1.3B Cs Finetuning and how large is it?

GPT Neo 1.3B Cs Finetuning is developed by KimByeongSu, a model with 1.3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate GPT Neo 1.3B Cs Finetuning?

GPT Neo 1.3B Cs Finetuning is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GPT Neo 1.3B Cs Finetuning by KimByeongSu — VRAM 0.5GB, 2K context

Name: GPT Neo 1.3B Cs Finetuning
Author: KimByeongSu

GPT Neo 1.3B Cs Finetuning is an open-source language model by KimByeongSu. Features: 1.3b LLM, VRAM: 0.5GB, Context: 2K, License: mit, LLM Explorer Score: 0.11.

Autotrain compatible Base model:eleutherai/gpt-neo-... Base model:finetune:eleutherai... Endpoints compatible Generated from trainer Gpt neo Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/KimByeongSu/gpt-neo-1.3B-cs-finetuning

GPT Neo 1.3B Cs Finetuning Parameters and Internals

LLM Name	GPT Neo 1.3B Cs Finetuning
Repository 🤗	https://huggingface.co/KimByeongSu/gpt-neo-1.3B-cs-finetuning
Base Model(s)	GPT Neo 125M EleutherAI/gpt-neo-125m
Model Size	1.3b
Required VRAM	0.5 GB
Updated	2025-09-23
Maintainer	KimByeongSu
Model Type	gpt_neo
Model Files	0.5 GB 0.0 GB
Model Architecture	GPTNeoForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.36.2
Vocabulary Size	50257
Torch Data Type	float32
Activation Function	gelu_new

Rank the GPT Neo 1.3B Cs Finetuning capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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GPT NEO 1.3B Wiki	2K / 5.3 GB	13	1
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GPT Neo 1.3B Alpaca	2K / 5.3 GB	5	0
GPT Neo 1.3B	2K / 5.3 GB	47067	325
Adonalsium GPT Neo 1.3B	2K / 0 GB	1	1
GPT NeoX 1.3B Viet Long 70	2K / 5.3 GB	7	0
...oX 1.3B Viet Custom 30 General	2K / 5.3 GB	5	0
GPT NeoX 1.3B Viet Custom 30	2K / 5.3 GB	9	0
GPT NeoX 1.3B Viet Custom 10	2K / 5.3 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than KimByeongSu/gpt-neo-1.3B-cs-finetuning.