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Law LLM 13B GGUF by TheBloke

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  Arxiv:2309.09530 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   Gguf   Instruct   Legal   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/law-LLM-13B-GGUF 

Law LLM 13B GGUF Benchmarks

LLME Score: 0.13736
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Law LLM 13B GGUF (TheBloke/law-LLM-13B-GGUF)
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Law LLM 13B GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
legal
Additional Notes 
AdaptLLM explores continued pre-training on domain-specific corpora and transforming them into reading comprehension texts to improve prompting performance.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
Open-Orca/OpenOrca, GAIR/lima, WizardLM/WizardLM_evol_instruct_V2_196k, EleutherAI/pile
Methodology:
Transform pre-training corpora into reading comprehension texts for domain-specific training.
Hardware Used:
Massed Compute's hardware for quantization
Model Architecture:
LLaMA-1-based architecture with domain-specific pre-training.
Input Output 
Input Format:
[INST] <> {system_message} <> {prompt} [/INST]
Accepted Modalities:
text
LLM NameLaw LLM 13B GGUF
Repository 🤗https://huggingface.co/TheBloke/law-LLM-13B-GGUF 
Model NameLaw LLM 13B
Model CreatorAdaptLLM
Base Model(s)  Law LLM 13B   AdaptLLM/law-LLM-13B
Model Size13b
Required VRAM5.4 GB
Updated2025-09-28
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  5.4 GB   6.9 GB   6.3 GB   5.7 GB   7.4 GB   7.9 GB   7.4 GB   9.0 GB   9.2 GB   9.0 GB   10.7 GB   13.8 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/law-LLM-13B-GGUF.

Rank the Law LLM 13B GGUF 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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