What are the hardware requirements for Law LLM 13B GPTQ?

Law LLM 13B GPTQ requires approximately 7.3 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Law LLM 13B GPTQ and how large is it?

Law LLM 13B GPTQ is developed by TheBloke, a model with 13b 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 Law LLM 13B GPTQ?

Law LLM 13B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Law LLM 13B GPTQ by TheBloke — VRAM 7.3GB, 2K context

Name: Law LLM 13B GPTQ
Author: TheBloke

Law LLM 13B GPTQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.3GB, Context: 2K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

Arxiv:2309.09530 4-bit Base model:adaptllm/law-llm-13... Base model:quantized:adaptllm/... Dataset:eleutherai/pile Dataset:gair/lima Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol... En Gptq Instruct Legal Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/law-LLM-13B-GPTQ

Law LLM 13B GPTQ Parameters and Internals

Model Type

text generation

Use Cases

Areas:

Law

Applications:

Legal document analysis, Case law review

Primary Use Cases:

Text generation specific to the legal domain

Considerations:

Model's accuracy may vary based on input complexity.

Additional Notes

Supports various precision levels for different hardware efficiencies.

Supported Languages

en (English)

Training Details

Data Sources:

Open-Orca/OpenOrca, GAIR/lima, WizardLM/WizardLM_evol_instruct_V2_196k, EleutherAI/pile

Methodology:

Continued pre-training on domain-specific corpora using a reading comprehension approach to enhance prompting ability.

Context Length:

4096

Model Architecture:

Based on the LLaMA-1 architecture

Input Output

Input Format:

[INST] <> {system_message} <> {prompt} [/INST]

Accepted Modalities:

text

Output Format:

Text

LLM Name	Law LLM 13B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/law-LLM-13B-GPTQ
Model Name	Law LLM 13B
Model Creator	AdaptLLM
Base Model(s)	Law LLM 13B AdaptLLM/law-LLM-13B
Model Size	13b
Required VRAM	7.3 GB
Updated	2026-08-01
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	7.3 GB
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Padding Token	<pad>
Unk Token	<unk>
Vocabulary Size	32001
Torch Data Type	float16

Rank the Law LLM 13B GPTQ 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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