Yi Ko 6B DPO V2 by We-Want-GPU

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  Autotrain compatible   Endpoints compatible   Llama   Lora   Region:us   Safetensors   Sharded   Tensorflow

Yi Ko 6B DPO V2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi Ko 6B DPO V2 (We-Want-GPU/Yi-Ko-6B-DPO-v2)

Yi Ko 6B DPO V2 Parameters and Internals

LLM NameYi Ko 6B DPO V2
Repository ๐Ÿค—https://huggingface.co/We-Want-GPU/Yi-Ko-6B-DPO-v2 
Model Size6b
Required VRAM12.4 GB
Updated2024-12-26
MaintainerWe-Want-GPU
Model Typellama
Model Files  5.0 GB: 1-of-3   4.9 GB: 2-of-3   2.5 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size78464
LoRA ModelYes
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than We-Want-GPU/Yi-Ko-6B-DPO-v2.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217