Menghua Qwen3 32B Lora by nbeerbower

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Menghua Qwen3 32B Lora Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Menghua Qwen3 32B Lora (nbeerbower/Menghua-Qwen3-32B-lora)
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Menghua Qwen3 32B Lora Parameters and Internals

LLM NameMenghua Qwen3 32B Lora
Repository ๐Ÿค—https://huggingface.co/nbeerbower/Menghua-Qwen3-32B-lora 
Base Model(s)  nbeerbower/Zhiming-Qwen3-32B   nbeerbower/Zhiming-Qwen3-32B
Model Size32b
Required VRAM1.1 GB
Updated2025-06-17
Maintainernbeerbower
Model Files  1.1 GB   0.0 GB
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length131072
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|q_proj|down_proj|o_proj|k_proj|up_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param64
Errorsreplace

Best Alternatives to Menghua Qwen3 32B Lora

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/Menghua-Qwen3-32B-lora.

Rank the Menghua Qwen3 32B 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 v20241124