Blind Test02 by Chat-Error

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  Adapter   Finetuned   Ggml   Lora   Peft   Q4   Quantized   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/Chat-Error/Blind-test02 

Blind Test02 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Blind Test02 (Chat-Error/Blind-test02)

Blind Test02 Parameters and Internals

Additional Notes 
The training utilized the `bitsandbytes` library for quantization with specified configuration parameters. The PEFT library version used was 0.6.0.dev0.
LLM NameBlind Test02
Repository ๐Ÿค—https://huggingface.co/Chat-Error/Blind-test02 
Required VRAM8.1 GB
Updated2025-02-05
MaintainerChat-Error
Model Files  0.0 GB   8.1 GB   9.4 GB
GGML QuantizationYes
Quantization Typeggml|q4
Model ArchitectureAdapter
Is Biasednone
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|v_proj|gate_proj|k_proj|q_proj|o_proj|down_proj
LoRA Alpha8
LoRA Dropout0.05
R Param4

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Note: green Score (e.g. "73.2") means that the model is better than Chat-Error/Blind-test02.

Rank the Blind Test02 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227