LawToken 7B A2 by amy011872

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  Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2-7b   Conversational   Dataset:generator   Endpoints compatible   Generated from trainer   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl

LawToken 7B A2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LawToken 7B A2 (amy011872/LawToken-7B-a2)

LawToken 7B A2 Parameters and Internals

Additional Notes 
Model is a fine-tuned version with a loss of 0.6911 on the evaluation set.
Training Details 
Data Sources:
generator
Hardware Used:
multi-GPU
LLM NameLawToken 7B A2
Repository ๐Ÿค—https://huggingface.co/amy011872/LawToken-7B-a2 
Base Model(s)  Qwen2 7B   Qwen/Qwen2-7B
Model Size7b
Required VRAM15.4 GB
Updated2025-01-23
Maintaineramy011872
Model Typeqwen2
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.2 GB: 4-of-4   0.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.38.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size164729
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than amy011872/LawToken-7B-a2.

Rank the LawToken 7B A2 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227