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T3Q Mistral Orca Math DPO by chihoonlee10

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  Autotrain compatible Base model:finetune:liminerity...   Base model:liminerity/m7-7b   Dataset:kyujinpy/orca math dpo   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/chihoonlee10/T3Q-Mistral-Orca-Math-DPO 

T3Q Mistral Orca Math DPO Benchmarks

ARC: 72.95 vs 96.7 (so35)-24.6%
HellaSwag: 89.23 vs 95.3 (gpt4)-6.4%
MMLU: 64.42 vs 88.3 (so35)-27%
TruthfulQA: 78.41 vs 59 (gpt4)32.9%
WinoGrande: 84.93 vs 87.5 (gpt4)-2.9%
GSM8K: 70.28 vs 96.4 (so35)-27.1%
LLME Score: 0.18977
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
T3Q Mistral Orca Math DPO (chihoonlee10/T3Q-Mistral-Orca-Math-DPO)

T3Q Mistral Orca Math DPO Parameters and Internals

Release Notes 
Date:
2024-03-13
LLM NameT3Q Mistral Orca Math DPO
Repository 🤗https://huggingface.co/chihoonlee10/T3Q-Mistral-Orca-Math-DPO 
Base Model(s)  M7 7B   liminerity/M7-7b
Model Size7b
Required VRAM14.4 GB
Updated2024-12-22
Maintainerchihoonlee10
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than chihoonlee10/T3Q-Mistral-Orca-Math-DPO.

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Release v20241217
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