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Gemma2 Financial by iimaginary

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  4bit   Autotrain compatible Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2b-bn...   En   Endpoints compatible   Gemma   Lora   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/iimaginary/gemma2-financial 

Gemma2 Financial Benchmarks

LLME Score: 0.1959
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2 Financial (iimaginary/gemma2-financial)

Gemma2 Financial Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameGemma2 Financial
Repository 🤗https://huggingface.co/iimaginary/gemma2-financial 
Base Model(s)  Gemma 2B Bnb 4bit   unsloth/gemma-2b-bnb-4bit
Model Size2b
Required VRAM5.1 GB
Updated2024-12-22
Maintaineriimaginary
Model Files  0.1 GB   5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|down_proj|v_proj|o_proj|k_proj|gate_proj|up_proj
LoRA Alpha16
LoRA Dropout0.1
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than iimaginary/gemma2-financial.

Rank the Gemma2 Financial 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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