AutoMAD Small by reddest-panda

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  Autotrain   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-0.5b-ins...   Conversational Dataset:reddest-panda/arm-asm-...   Endpoints compatible   Instruct   Lora   Peft   Qwen2   Region:us   Safetensors   Tensorboard

AutoMAD Small Benchmarks

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

AutoMAD Small Parameters and Internals

Model Type 
text-generation, text-generation-inference
Training Details 
Data Sources:
reddest-panda/arm-asm-xsmall
LLM NameAutoMAD Small
Repository ๐Ÿค—https://huggingface.co/reddest-panda/AutoMAD-small 
Base Model(s)  Qwen/Qwen2-0.5B-Instruct   Qwen/Qwen2-0.5B-Instruct
Model Size0.5b
Required VRAM0 GB
Updated2025-01-20
Maintainerreddest-panda
Instruction-BasedYes
Model Files  0.0 GB   1.0 GB   0.0 GB
Model ArchitectureAutoModelForCausalLM
Licenseother
Model Max Length2048
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|q_proj|up_proj|gate_proj|o_proj|v_proj|down_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16
Errorsreplace

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Rank the AutoMAD Small 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 v20241227