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Llama 3 8B Instruct SPPO Iter1 Bt 2B Table by yfzp

 »  All LLMs  »  yfzp  »  Llama 3 8B Instruct SPPO Iter1 Bt 2B Table   URL Share it on

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table 

Llama 3 8B Instruct SPPO Iter1 Bt 2b Table Benchmarks

MMLU Pro: 30.18
GPQA: 1.23
MUSR: 3.85
BBH: 28.17
IFEval: 67.09 vs 88 (so35)-23.8%
MATH Lvl 5: 7.33
LLME Score: 0.29732
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 Instruct SPPO Iter1 Bt 2B Table (yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table)

Llama 3 8B Instruct SPPO Iter1 Bt 2B Table Parameters and Internals

LLM NameLlama 3 8B Instruct SPPO Iter1 Bt 2b Table
Repository 🤗https://huggingface.co/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table 
Model Size8b
Required VRAM16.1 GB
Updated2024-12-21
Maintaineryfzp
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than yfzp/Llama-3-8B-Instruct-SPPO-Iter1_bt_2b-table.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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