What are the hardware requirements for 42dot Quantized?

42dot Quantized requires approximately 1.7 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed 42dot Quantized and how large is it?

42dot Quantized is developed by hyunnnnnnnn, a model with 1.4b 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 42dot Quantized?

42dot Quantized is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

42dot Quantized by hyunnnnnnnn — VRAM 1.7GB, 4K context

Name: 42dot Quantized
Author: hyunnnnnnnn

42dot Quantized is an open-source language model by hyunnnnnnnn. Features: 1.4b LLM, VRAM: 1.7GB, Context: 4K, LLM Explorer Score: 0.13.

Arxiv:1910.09700 8-bit Endpoints compatible Gptq Llama Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/hyunnnnnnnn/42dot_quantized

42dot Quantized Parameters and Internals

LLM Name	42dot Quantized
Repository 🤗	https://huggingface.co/hyunnnnnnnn/42dot_quantized
Model Size	1.4b
Required VRAM	1.7 GB
Updated	2026-07-28
Maintainer	hyunnnnnnnn
Model Type	llama
Model Files	1.7 GB 1.7 GB
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.41.1
Tokenizer Class	GPT2TokenizerFast
Padding Token	<\|\|pad\|\|>
Vocabulary Size	50304
Torch Data Type	float16
Errors	replace

Rank the 42dot Quantized 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 42dot Quantized

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 Hammered Four	128K / 2.8 GB	6	0
Llama3 1.4B Init 2	4K / 3 GB	4	1
42dot V0	4K / 5.8 GB	5	0
42dot Number	4K / 5.8 GB	6	0
42dot Test Upload	4K / 5.8 GB	6	0
42dot Label	4K / 5.8 GB	5	0
42dot Law	4K / 5.8 GB	5	0
MobileLLaMA 1.4B Chat	2K / 5.5 GB	434347	21
MobileLLaMA 1.4B Base	2K / 2.7 GB	127	21
ITT AF PLM 1.4B V0.1	2K / 5.8 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than hyunnnnnnnn/42dot_quantized.