Radiology Llama2 by allen-eric

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  Adapter   Finetuned   Lora   Peft   Region:us

Radiology Llama2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Radiology Llama2 (allen-eric/radiology-llama2)
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Radiology Llama2 Parameters and Internals

Additional Notes 
The following `bitsandbytes` quantization config was used during training: load_in_8bit: False, load_in_4bit: True, llm_int8_threshold: 6.0, llm_int8_skip_modules: None, llm_int8_enable_fp32_cpu_offload: False, llm_int8_has_fp16_weight: False, bnb_4bit_quant_type: fp4, bnb_4bit_use_double_quant: False, bnb_4bit_compute_dtype: float32. Framework versions: PEFT 0.4.0.
LLM NameRadiology Llama2
Repository ๐Ÿค—https://huggingface.co/allen-eric/radiology-llama2 
Required VRAM0.1 GB
Updated2025-09-23
Maintainerallen-eric
Model Files  0.1 GB   0.0 GB
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 Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than allen-eric/radiology-llama2.

Rank the Radiology Llama2 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 v20241124