Results by Noodle-bg

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  Adapter Base model:adapter:openlm-rese... Base model:openlm-research/ope...   Finetuned   Generated from trainer   Lora   Peft   Region:us   Safetensors   Sft   Trl

Results Benchmarks

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

Results Parameters and Internals

LLM NameResults
Repository ๐Ÿค—https://huggingface.co/Noodle-bg/results 
Base Model(s)  Open Llama 3b V2   openlm-research/open_llama_3b_v2
Model Size3b
Required VRAM0.9 GB
Updated2024-08-15
MaintainerNoodle-bg
Model Files  0.9 GB   0.0 GB
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length2048
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|k_proj|q_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16
Results (Noodle-bg/results)

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Note: green Score (e.g. "73.2") means that the model is better than Noodle-bg/results.

Rank the Results 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 v2024072803