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Results by ItchyChin

 »  All LLMs  »  ItchyChin  »  Results   URL Share it on

  23   
  Adapter Base model:adapter:nousresearc... Base model:nousresearch/meta-l...   Finetuned   Generated from trainer   Instruct   Lora   Orpo   Peft   Region:us   Safetensors   Trl

Results Benchmarks

LLME Score: 0.21579
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

Additional Notes 
The model is a fine-tuned version of NousResearch/Meta-Llama-3-8B-Instruct. More information about the model description, intended uses, limitations, training and evaluation data is needed.
LLM NameResults
Repository 🤗https://huggingface.co/ItchyChin/results 
Base Model(s)  Meta Llama 3 8B Instruct   NousResearch/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM4.4 GB
Updated2024-11-21
MaintainerItchyChin
Instruction-BasedYes
Model Files  4.4 GB   0.0 GB
Model ArchitectureAdapter
Licenseother
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|im_end|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|down_proj|v_proj|q_proj|gate_proj|up_proj|o_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16
Results (ItchyChin/results)

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Llama 3 8B Instruct 80K QLoRA0K / 2.2 GB024
Llama 3 8B Claudstruct V10K / 0.1 GB60
...Llama 3 8B Instruct ORPO QLoRA0K / 0.7 GB50
Llama3 8b Sa V0.10K / 0 GB60
Llama3 Tw 8B Btc Qlora0K / 0.1 GB103
Note: green Score (e.g. "73.2") means that the model is better than ItchyChin/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 v20241110
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