What are the hardware requirements for Abhinav Chatbot?

Abhinav Chatbot 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 Abhinav Chatbot and how large is it?

Abhinav Chatbot is developed by accesscreate012, a model with 125m 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 Abhinav Chatbot?

Abhinav Chatbot is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Abhinav Chatbot by accesscreate012 — VRAM 0.5GB, 2K context

Name: Abhinav Chatbot
Author: accesscreate012

Abhinav Chatbot is an open-source language model by accesscreate012. Features: 125m LLM, VRAM: 0.5GB, Context: 2K, License: mit, LLM Explorer Score: 0.17.

Abhinav academy Base model:eleutherai/gpt-neo-... Base model:finetune:eleutherai... Chatbot Dataset:data.jsonl En Endpoints compatible Finetuned Gpt-neo Gpt neo Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/accesscreate012/abhinav-chatbot

Abhinav Chatbot Parameters and Internals

LLM Name	Abhinav Chatbot
Repository 🤗	https://huggingface.co/accesscreate012/abhinav-chatbot
Model Name	abhinav-chatbot
Base Model(s)	GPT Neo 125M EleutherAI/gpt-neo-125m
Model Size	125m
Required VRAM	0.5 GB
Updated	2026-07-13
Maintainer	accesscreate012
Model Type	gpt_neo
Model Files	0.5 GB 0.0 GB
Supported Languages	en
Model Architecture	GPTNeoForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.50.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50257
Torch Data Type	float32
Activation Function	gelu_new
Errors	replace

Rank the Abhinav Chatbot 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

Best Alternatives to Abhinav Chatbot

Best Alternatives	Context / RAM	Downloads	Likes
GPT Neo 125M Stf Imdb	2K / 0.5 GB	5	0
GPT Neo 125M Xsum Roya	2K / 0.5 GB	30	0
GPT Neo 125M	2K / 0.5 GB	430182	228
GPT Neo 125M Sft	2K / 0 GB	6	0
Aitextgen	2K / 0.5 GB	8	0
Neox 125m Storytelling	2K / 0.5 GB	6	0
Epfl Cs 522 Istari Mcqa	2K / 0.5 GB	5	0
NewsGen	2K / 0.5 GB	8	0
GPT Neo 125M Lama	2K / 0.5 GB	6	0
GPT Neo Plantuml	2K / 0.5 GB	8	1

Note: green Score (e.g. "73.2") means that the model is better than accesscreate012/abhinav-chatbot.