PyomoCodeQwen1.5 7B Chat by SepKeyPro

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  Autotrain compatible   Conversational   Endpoints compatible   Lora   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

PyomoCodeQwen1.5 7B Chat Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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PyomoCodeQwen1.5 7B Chat Parameters and Internals

Model Type 
chatbot
Training Details 
Methodology:
QLoRA fine-tuning
LLM NamePyomoCodeQwen1.5 7B Chat
Repository ๐Ÿค—https://huggingface.co/SepKeyPro/PyomoCodeQwen1.5-7B-Chat 
Model Size7b
Required VRAM14.5 GB
Updated2025-06-09
MaintainerSepKeyPro
Model Files  0.2 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.6 GB: 3-of-3
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|im_end|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|k_proj|up_proj|gate_proj|o_proj|down_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16
PyomoCodeQwen1.5 7B Chat (SepKeyPro/PyomoCodeQwen1.5-7B-Chat)

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Note: green Score (e.g. "73.2") means that the model is better than SepKeyPro/PyomoCodeQwen1.5-7B-Chat.

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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