What are the hardware requirements for PIT 4B FT 202112?

PIT 4B FT 202112 requires approximately 17.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed PIT 4B FT 202112 and how large is it?

PIT 4B FT 202112 is developed by Diamegs, a model with 4b 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 PIT 4B FT 202112?

PIT 4B FT 202112 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

PIT 4B FT 202112 by Diamegs — VRAM 17.8GB

Name: PIT 4B FT 202112
Author: Diamegs

PIT 4B FT 202112 is an open-source language model by Diamegs. Features: 4b LLM, VRAM: 17.8GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

Base model:diamegs/pit-4b-2021... Base model:finetune:diamegs/pi... Custom code En Instruct Instruction-tuned Pit Point-in-time Region:us Safetensors Temporal-llm

Model Card on HF 🤗: https://huggingface.co/Diamegs/PIT-4B-FT-202112

PIT 4B FT 202112 Parameters and Internals

LLM Name	PIT 4B FT 202112
Repository 🤗	https://huggingface.co/Diamegs/PIT-4B-FT-202112
Base Model(s)	Diamegs/PIT-4B-202112 Diamegs/PIT-4B-202112
Model Size	4b
Required VRAM	17.8 GB
Updated	2026-09-06
Maintainer	Diamegs
Model Type	pit
Instruction-Based	Yes
Model Files	17.8 GB
Supported Languages	en
Model Architecture	PITForCausalLM
License	apache-2.0
Model Max Length	1024
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50304
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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PIT 4B FT 202212	0K / 17.8 GB	431	0