Mcqa by Orelian

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  Arxiv:1910.09700   Adapter Base model:adapter:tinyllama/t... Base model:tinyllama/tinyllama...   Finetuned   Lora   Peft   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/Orelian/mcqa 

Mcqa Benchmarks

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

Mcqa Parameters and Internals

LLM NameMcqa
Repository ๐Ÿค—https://huggingface.co/Orelian/mcqa 
Base Model(s)  PY007/TinyLlama-1.1B-Chat-v0.1   PY007/TinyLlama-1.1B-Chat-v0.1
Model Size1.1b
Required VRAM0 GB
Updated2025-02-05
MaintainerOrelian
Model Files  0.0 GB   0.0 GB
Model ArchitectureAdapter
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param8

Best Alternatives to Mcqa

Best Alternatives
Context / RAM
Downloads
Likes
Openhermes Tinyllama Sft Qlora0K / 0 GB50
Zephyr Tinyllama Sft Qlora0K / 0 GB60
Sft Tiny Chatbot0K / 0 GB31860
...hyr Tiny Sft Qlora Quantized 20K / 0 GB500
DPO Mcqa V1.020K / 0.4 GB50
DPO Mcqa QuantizedBitsAndBytes0K / 0.8 GB50
MCQDPO10K / 0 GB50
ProjectElrondMCQv10K / 0 GB50
Tinyllama Cs0K / 0 GB50
Lalalang0K / 0 GB50
Note: green Score (e.g. "73.2") means that the model is better than Orelian/mcqa.

Rank the Mcqa Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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 v20241227