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Gemma 2B ForexAI by mjmanashti

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Model Card on HF 🤗: https://huggingface.co/mjmanashti/gemma-2b-ForexAI 

Gemma 2B ForexAI Benchmarks

LLME Score: 0.18577
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2B ForexAI (mjmanashti/gemma-2b-ForexAI)

Gemma 2B ForexAI Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
trading
Applications:
financial forecasting
Primary Use Cases:
trading signal generation
Additional Notes 
Model trained using AutoTrain for financial trading signals.
Input Output 
Input Format:
chat format with role and content fields
Accepted Modalities:
text
Output Format:
generated text response
LLM NameGemma 2B ForexAI
Repository 🤗https://huggingface.co/mjmanashti/gemma-2b-ForexAI 
Model Size2b
Required VRAM10 GB
Updated2024-12-22
Maintainermjmanashti
Model Files  0.1 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   0.1 GB: 3-of-3   0.0 GB
Model ArchitectureAutoModelForCausalLM
Licenseother
Model Max Length2048
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|k_proj|down_proj|q_proj|v_proj|up_proj|o_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than mjmanashti/gemma-2b-ForexAI.

Rank the Gemma 2B ForexAI 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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Release v20241217
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