DPO Llama3 8B by Sreevadan

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  Arxiv:1910.09700   4-bit   4bit   Autotrain compatible   Bitsandbytes   Dataset:intel/orca dpo pairs   Dataset:open-orca/openorca   Endpoints compatible   Finetuned   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Sreevadan/DPO-Llama3-8b 

DPO Llama3 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DPO Llama3 8B (Sreevadan/DPO-Llama3-8b)

DPO Llama3 8B Parameters and Internals

LLM NameDPO Llama3 8B
Repository ๐Ÿค—https://huggingface.co/Sreevadan/DPO-Llama3-8b 
Base Model(s)  Prox Llama 3 8B   openvoid/Prox-Llama-3-8B
Model Size8b
Required VRAM6.1 GB
Updated2025-02-22
MaintainerSreevadan
Model Typellama
Model Files  5.0 GB: 1-of-2   1.1 GB: 2-of-2
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typefloat16

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... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB83
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Llama 3 8B Instruct 262K 2bit256K / 2.5 GB71
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Note: green Score (e.g. "73.2") means that the model is better than Sreevadan/DPO-Llama3-8b.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227