Yi 34B Alpaca Cot Lora by TriadParty

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  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

LLM NameYi 34B Alpaca Cot Lora
Repository ๐Ÿค—https://huggingface.co/TriadParty/Yi-34b-alpaca-cot-lora 
Model Size34b
Required VRAM0.1 GB
Updated2024-09-07
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
Yi 34B Alpaca Cot Lora (TriadParty/Yi-34b-alpaca-cot-lora)

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803