Yi 34B Alpaca Cot Lora by TriadParty

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Yi 34B Alpaca Cot Lora is an open-source language model by TriadParty. Features: 34b LLM, VRAM: 0.1GB, LLM Explorer Score: 0.1.

  Adapter   Finetuned   Lora   Region:us

Yi 34B Alpaca Cot Lora Benchmarks

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

Yi 34B Alpaca Cot Lora Parameters and Internals

Additional Notes 
The model is configured to temporarily use rank=8 and alpha=32, with plans to adjust these parameters in future versions.
Training Details 
Data Sources:
https://huggingface.co/datasets/QingyiSi/Alpaca-CoT/tree/main/Chain-of-Thought
Methodology:
LoRA with rank=8 and alpha=32
LLM NameYi 34B Alpaca Cot Lora
Repository 🤗https://huggingface.co/TriadParty/Yi-34b-alpaca-cot-lora 
Model Size34b
Required VRAM0.1 GB
Updated2026-04-13
MaintainerTriadParty
Model Files  0.1 GB   0.0 GB
Model ArchitectureAdapter
Model Max Length4096
Is Biasednone
Tokenizer ClassYiTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|up_proj|k_proj|v_proj|o_proj|q_proj|gate_proj
LoRA Alpha32
LoRA Dropout0.1
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than TriadParty/Yi-34b-alpaca-cot-lora.

Rank the Yi 34B Alpaca Cot 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 v20260328a