What are the hardware requirements for Regex AI Llama 3.2 1B?

Regex AI Llama 3.2 1B requires approximately 0.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Regex AI Llama 3.2 1B and how large is it?

Regex AI Llama 3.2 1B is developed by mishl, a model with 1b 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 Regex AI Llama 3.2 1B?

Regex AI Llama 3.2 1B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Regex AI Llama 3.2 1B by mishl — VRAM 0.8GB, 128K context

Name: Regex AI Llama 3.2 1B
Author: mishl

Regex AI Llama 3.2 1B is an open-source language model by mishl. Features: 1b LLM, VRAM: 0.8GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

4bit Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Code generation Conversational Dataset:phongo/regex En Endpoints compatible Gguf Instruct Llama Pytorch Quantized Regex Region:us

Model Card on HF 🤗: https://huggingface.co/mishl/Regex-AI-Llama-3.2-1B

Regex AI Llama 3.2 1B Parameters and Internals

LLM Name	Regex AI Llama 3.2 1B
Repository 🤗	https://huggingface.co/mishl/Regex-AI-Llama-3.2-1B
Base Model(s)	meta-llama/Llama-3.2-1B-Instruct meta-llama/Llama-3.2-1B-Instruct
Model Size	1b
Required VRAM	0.8 GB
Updated	2026-07-29
Maintainer	mishl
Model Type	llama
Instruction-Based	Yes
Model Files	2.5 GB 2.5 GB 0.8 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|4bit
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Regex AI Llama 3.2 1B capabilities

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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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...lama 3.2 1B Legal Id Finetuned	128K / 2.5 GB	192	0
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Note: green Score (e.g. "73.2") means that the model is better than mishl/Regex-AI-Llama-3.2-1B.