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Law Chat by AdaptLLM

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  1155   
  Arxiv:2309.09530   Arxiv:2406.14491   Autotrain compatible   Dataset:eleutherai/pile   Dataset:gair/lima   Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol...   En   Endpoints compatible   Instruct   Legal   Llama   Model-index   Pytorch   Region:us   Sharded

Law Chat Benchmarks

ARC: 53.41 vs 96.7 (so35)-44.8%
HellaSwag: 76.16 vs 95.3 (gpt4)-20.1%
MMLU: 50.24 vs 88.3 (so35)-43.1%
TruthfulQA: 43.53 vs 59 (gpt4)-26.2%
WinoGrande: 75.45 vs 87.5 (gpt4)-13.8%
GSM8K: 18.5 vs 96.4 (so35)-80.8%
LLME Score: 0.21783
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Law Chat Parameters and Internals

LLM NameLaw Chat
Repository 🤗https://huggingface.co/AdaptLLM/law-chat 
Required VRAM27 GB
Updated2024-10-18
MaintainerAdaptLLM
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Padding Token<pad>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat16
Law Chat (AdaptLLM/law-chat)

Quantized Models of the Law Chat

Model
Likes
Downloads
VRAM
Law Chat GGUF1910342 GB
Law Chat GPTQ4533 GB
Law Chat AWQ3103 GB

Best Alternatives to Law Chat

Best Alternatives
Context / RAM
Downloads
Likes
FATLLAMA 1.7T Instruct128K / 438.9 GB233
Reverse Instruct32K / 27 GB83
Etri Ones Solar4K / 42.9 GB580
Phi 3 Orpo V8.164K / 7.6 GB80
Small Instruct4K / 2.9 GB41391
Tinyllama Python4K / 2.2 GB71
Model 007 Preview4K / 138 GB631
Taiwan LLaMa V0.04K / 26 GB91
Taiwan LLaMa V0.94K / 26 GB110
Kolong Llama V0.12K / 13.7 GB40890
Note: green Score (e.g. "73.2") means that the model is better than AdaptLLM/law-chat.

Rank the Law Chat 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 v2024072803
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