Qwen2.5 7B Instruct SFT Meme LoRA V7 by mimi1998

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Qwen2.5 7B Instruct SFT Meme LoRA V7 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 7B Instruct SFT Meme LoRA V7 (mimi1998/Qwen2.5-7B-Instruct-SFT-Meme-LoRA-V7)
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Qwen2.5 7B Instruct SFT Meme LoRA V7 Parameters and Internals

LLM NameQwen2.5 7B Instruct SFT Meme LoRA V7
Repository ๐Ÿค—https://huggingface.co/mimi1998/Qwen2.5-7B-Instruct-SFT-Meme-LoRA-V7 
Base Model(s)  unsloth/qwen2.5-7b-unsloth-bnb-4bit   unsloth/qwen2.5-7b-unsloth-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2025-07-02
Maintainermimi1998
Model Typeqwen2
Instruction-BasedYes
Model Files  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 ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.52.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size152064
LoRA ModelYes
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mimi1998/Qwen2.5-7B-Instruct-SFT-Meme-LoRA-V7.

Rank the Qwen2.5 7B Instruct SFT Meme LoRA V7 Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124