What are the hardware requirements for Sid GPT Resume Llm?

Sid GPT Resume Llm requires approximately 0.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Sid GPT Resume Llm and how large is it?

Sid GPT Resume Llm is developed by Sidhartha-Rajput. 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 Sid GPT Resume Llm?

Sid GPT Resume Llm is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sid GPT Resume Llm by Sidhartha-Rajput — VRAM 0.4GB

Name: Sid GPT Resume Llm
Author: Sidhartha-Rajput

Sid GPT Resume Llm is an open-source language model by Sidhartha-Rajput. Features: LLM, VRAM: 0.4GB, License: mit, LLM Explorer Score: 0.31.

Career Custom-tokenizer Dataset:inferenceprince555/res... En From-scratch Gpt Product-management Pytorch Region:us Resume Sid-gpt

Model Card on HF 🤗: https://huggingface.co/Sidhartha-Rajput/sid-gpt-resume-llm

Sid GPT Resume Llm Parameters and Internals

LLM Name	Sid GPT Resume Llm
Repository 🤗	https://huggingface.co/Sidhartha-Rajput/sid-gpt-resume-llm
Required VRAM	0.4 GB
Updated	2026-10-11
Maintainer	Sidhartha-Rajput
Model Type	sid-gpt
Model Files	0.4 GB
Supported Languages	en
Model Architecture	GPT
License	mit
Vocabulary Size	8000

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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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