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Qwen2 1.5B Instruct MAC Lora by inflaton

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Qwen2 1.5B Instruct MAC Lora Benchmarks

LLME Score: 0.22026
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen2 1.5B Instruct MAC Lora Parameters and Internals

LLM NameQwen2 1.5B Instruct MAC Lora
Repository 🤗https://huggingface.co/inflaton/Qwen2-1.5B-Instruct-MAC-lora 
Base Model(s)  unsloth/qwen2-1.5b-instruct-bnb-4bit   unsloth/qwen2-1.5b-instruct-bnb-4bit
Model Size1.5b
Required VRAM1.2 GB
Updated2024-10-15
Maintainerinflaton
Model Typeqwen2
Instruction-BasedYes
Model Files  1.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
LoRA ModelYes
Torch Data Typebfloat16
Errorsreplace
Qwen2 1.5B Instruct MAC Lora (inflaton/Qwen2-1.5B-Instruct-MAC-lora)

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Note: green Score (e.g. "73.2") means that the model is better than inflaton/Qwen2-1.5B-Instruct-MAC-lora.

Rank the Qwen2 1.5B Instruct MAC 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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Release v2024072803
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