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Qwen7B Haiguitang by neurostellar

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Qwen7B Haiguitang is an open-source language model by neurostellar. Features: LLM, VRAM: 15.3GB, LLM Explorer Score: 0.14.

  Custom code Dataset:neurostellar/haiguitan...   Lora   Pytorch   Qwen   Region:us   Sharded   Zh
Model Card on HF 🤗: https://huggingface.co/neurostellar/Qwen7B-haiguitang 

Qwen7B Haiguitang Benchmarks

LLME Score: 0.14034
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen7B Haiguitang (neurostellar/Qwen7B-haiguitang)
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Qwen7B Haiguitang Parameters and Internals

Supported Languages 
zh (Supported)
LLM NameQwen7B Haiguitang
Repository 🤗https://huggingface.co/neurostellar/Qwen7B-haiguitang 
Required VRAM15.3 GB
Updated2025-12-20
Maintainerneurostellar
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   1.8 GB: 8-of-8
Supported Languageszh
Model ArchitectureAutoModelForCausalLM
Model Max Length32768
Is Biasednone
Tokenizer ClassQWenTokenizer
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesw1|w2|c_proj|c_attn
LoRA Alpha16
LoRA Dropout0.1
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than neurostellar/Qwen7B-haiguitang.

Rank the Qwen7B Haiguitang 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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