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Lambda Qwen2.5 14B DPO Test by tanliboy

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  Alignment-handbook   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in...   Conversational Dataset:huggingfaceh4/ultrafee...   Dpo   Endpoints compatible   Generated from trainer   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/tanliboy/lambda-qwen2.5-14b-dpo-test 

Lambda Qwen2.5 14B DPO Test Benchmarks

MMLU Pro: 42.75
GPQA: 14.99
MUSR: 12.59
BBH: 48.45
IFEval: 82.31 vs 88 (so35)-6.5%
LLME Score: 0.37257
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lambda Qwen2.5 14B DPO Test (tanliboy/lambda-qwen2.5-14b-dpo-test)

Lambda Qwen2.5 14B DPO Test Parameters and Internals

LLM NameLambda Qwen2.5 14B DPO Test
Repository 🤗https://huggingface.co/tanliboy/lambda-qwen2.5-14b-dpo-test 
Base Model(s)  Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct
Model Size14b
Required VRAM29.7 GB
Updated2025-01-20
Maintainertanliboy
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6   0.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than tanliboy/lambda-qwen2.5-14b-dpo-test.

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Release v20241227
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