Qwen2 7B WAEMU Africa Banking Analysis by Svngoku

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  4bit   Autotrain compatible Base model:finetune:unsloth/qw... Base model:unsloth/qwen2-7b-bn...   Conversational Dataset:svngoku/waemu banking ...   En   Endpoints compatible   Lora   Pytorch   Quantized   Qwen2   Region:us   Safetensors   Sharded   Trl   Unsloth

Qwen2 7B WAEMU Africa Banking Analysis Benchmarks

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

Qwen2 7B WAEMU Africa Banking Analysis Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This Qwen2 model was trained with Unsloth and Huggingface's TRL library, achieving a training speed 2x faster.
Training Details 
Data Sources:
Svngoku/WAEMU_Banking_Analysis
Methodology:
The model was trained using Unsloth and Huggingface's TRL library, which allowed for a training speed 2x faster.
LLM NameQwen2 7B WAEMU Africa Banking Analysis
Repository ๐Ÿค—https://huggingface.co/Svngoku/Qwen2-7b-WAEMU-Africa-Banking-Analysis 
Base Model(s)  Qwen2 7B Bnb 4bit   unsloth/Qwen2-7B-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2024-11-21
MaintainerSvngoku
Model Files  0.2 GB   4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licensemit
Model Max Length131072
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|k_proj|q_proj|o_proj|down_proj|up_proj|gate_proj
LoRA Alpha16
LoRA Dropout0
R Param16
Errorsreplace
Qwen2 7B WAEMU Africa Banking Analysis (Svngoku/Qwen2-7b-WAEMU-Africa-Banking-Analysis)

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Note: green Score (e.g. "73.2") means that the model is better than Svngoku/Qwen2-7b-WAEMU-Africa-Banking-Analysis.

Rank the Qwen2 7B WAEMU Africa Banking Analysis 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  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110