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Law Chat AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Law Chat AWQ   URL Share it on

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  Arxiv:2309.09530   4-bit   Autotrain compatible   Awq   Base model:adaptllm/law-chat Base model:quantized:adaptllm/...   Dataset:eleutherai/pile   Dataset:gair/lima   Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol...   En   Instruct   Legal   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/law-chat-AWQ 

Law Chat AWQ Benchmarks

LLME Score: 0.16685
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Law Chat AWQ (TheBloke/law-chat-AWQ)

Law Chat AWQ Parameters and Internals

Model Type 
llama, text generation
Additional Notes 
AWQ is an efficient quantization method with 4-bit low-bit weight.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
EleutherAI/pile, Open-Orca/OpenOrca, GAIR/lima, WizardLM/WizardLM_evol_instruct_V2_196k
Methodology:
Continued pre-training on domain-specific corpora
Input Output 
Input Format:
[INST] <> {system_message} <> {prompt} [/INST]
Accepted Modalities:
text
Performance Tips:
Ensure NVIDIA GPU is used for optimal performance.
LLM NameLaw Chat AWQ
Repository 🤗https://huggingface.co/TheBloke/law-chat-AWQ 
Model NameLaw Chat
Model CreatorAdaptLLM
Base Model(s)  Law Chat   AdaptLLM/law-chat
Model Size1.1b
Required VRAM3.9 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  3.9 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Padding Token<pad>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat16

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

Rank the Law Chat AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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