Legal Summarizer by simmo

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  8-bit   Autotrain compatible Base model:quantized:unsloth/m...   Base model:unsloth/mistral-7b   En   Endpoints compatible   Gguf   Lora   Mistral   Pytorch   Quantized   Region:us   Safetensors   Sharded   Trl   Unsloth

Legal Summarizer Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Legal Summarizer Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl
Training Details 
Methodology:
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameLegal Summarizer
Repository ๐Ÿค—https://huggingface.co/simmo/legal_summarizer 
Base Model(s)  Mistral 7B   unsloth/mistral-7b
Model Size7b
Required VRAM14.4 GB
Updated2024-11-21
Maintainersimmo
Model Files  0.2 GB   4.4 GB   4.1 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|gate_proj|k_proj|v_proj|q_proj|down_proj|o_proj
LoRA Alpha16
LoRA Dropout0
R Param16
Legal Summarizer (simmo/legal_summarizer)

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Note: green Score (e.g. "73.2") means that the model is better than simmo/legal_summarizer.

Rank the Legal Summarizer Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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 v20241110