What are the hardware requirements for Voice Ai Interview Gpt2?

Voice Ai Interview Gpt2 requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Voice Ai Interview Gpt2 and how large is it?

Voice Ai Interview Gpt2 is developed by rajatverma777, a model with 81.9m 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 Voice Ai Interview Gpt2?

Voice Ai Interview Gpt2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Voice Ai Interview Gpt2 by rajatverma777 — VRAM 0.3GB

Name: Voice Ai Interview Gpt2
Author: rajatverma777

Voice Ai Interview Gpt2 is an open-source language model by rajatverma777. Features: 81.9m LLM, VRAM: 0.3GB, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:distilbert/distilgp... Base model:finetune:distilbert... Distilgpt2 En Finetuned Gpt2 Interview Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/rajatverma777/voice-ai-interview-gpt2

Voice Ai Interview Gpt2 Parameters and Internals

LLM Name	Voice Ai Interview Gpt2
Repository 🤗	https://huggingface.co/rajatverma777/voice-ai-interview-gpt2
Base Model(s)	distilgpt2 /distilgpt2
Model Size	81.9m
Required VRAM	0.3 GB
Updated	2026-08-26
Maintainer	rajatverma777
Model Type	gpt2
Model Files	0.3 GB
Supported Languages	en
Model Architecture	GPT2LMHeadModel
License	apache-2.0
Model Max Length	1024
Transformers Version	5.12.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50259
Activation Function	gelu_new
Errors	replace

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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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