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Qwen 2.5 7B Rp Lora by bunnycore

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  4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-7b-... Dataset:aicloser/sharegpt cot ... Dataset:alexandreteles/alpacat... Dataset:chaser-cz/sonnet35-cha...   En   Endpoints compatible   Instruct   Lora   Quantized   Qwen2   Region:us   Safetensors   Trl   Unsloth

Qwen 2.5 7B Rp Lora Benchmarks

LLME Score: 0.23887
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen 2.5 7B Rp Lora Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
Supported Languages 
en (English)
LLM NameQwen 2.5 7B Rp Lora
Repository 🤗https://huggingface.co/bunnycore/Qwen-2.5-7b-rp-lora 
Base Model(s)  unsloth/Qwen2.5-7B-Instruct-bnb-4bit   unsloth/Qwen2.5-7B-Instruct-bnb-4bit
Model Size7b
Required VRAM0.2 GB
Updated2024-11-21
Maintainerbunnycore
Instruction-BasedYes
Model Files  0.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|gate_proj|k_proj|down_proj|q_proj|o_proj|v_proj
LoRA Alpha16
LoRA Dropout0
R Param16
Qwen 2.5 7B Rp Lora (bunnycore/Qwen-2.5-7b-rp-lora)

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Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Qwen-2.5-7b-rp-lora.

Rank the Qwen 2.5 7B Rp Lora 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
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