What are the hardware requirements for Law LLM GGUF?

Law LLM GGUF requires approximately 2.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Law LLM GGUF and how large is it?

Law LLM GGUF is developed by TheBloke. 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 Law LLM GGUF?

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

Law LLM GGUF by TheBloke — VRAM 2.8GB

Name: Law LLM GGUF
Author: TheBloke

Law LLM GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 2.8GB, License: other, Quantized, LLM Explorer Score: 0.09.

Arxiv:2309.09530 Base model:adaptllm/law-llm Base model:quantized:adaptllm/... Gguf Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/law-LLM-GGUF

Law LLM GGUF Parameters and Internals

Model Type

llama

LLM Name	Law LLM GGUF
Repository 🤗	https://huggingface.co/TheBloke/law-LLM-GGUF
Model Name	Law LLM
Model Creator	AdaptLLM
Base Model(s)	Law LLM AdaptLLM/law-LLM
Required VRAM	2.8 GB
Updated	2026-07-24
Maintainer	TheBloke
Model Type	llama
Model Files	2.8 GB 3.6 GB 3.3 GB 3.0 GB 3.8 GB 4.1 GB 3.9 GB 4.7 GB 4.8 GB 4.7 GB 5.5 GB 7.2 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	other

Rank the Law LLM GGUF 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

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/law-LLM-GGUF.