Llama 3 8B ORPO by kingabzpro

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  Arxiv:1910.09700   Autotrain compatible   Conversational Dataset:trelis/orpo-dpo-mix-40...   En   Endpoints compatible   Gguf   Instruct   Llama   Lora   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 8B ORPO Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B ORPO (kingabzpro/Llama-3-8B-ORPO)

Llama 3 8B ORPO Parameters and Internals

LLM NameLlama 3 8B ORPO
Repository ๐Ÿค—https://huggingface.co/kingabzpro/Llama-3-8B-ORPO 
Model Size8b
Required VRAM16.1 GB
Updated2024-12-22
Maintainerkingabzpro
Instruction-BasedYes
Model Files  0.2 GB   4.9 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|im_end|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|gate_proj|o_proj|q_proj|up_proj|down_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than kingabzpro/Llama-3-8B-ORPO.

Rank the Llama 3 8B ORPO Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217