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Mistral Orpo Mix 7K by eduagarcia

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  Alignment-handbook   Autotrain compatible Base model:mistralai/mistral-7...   Conversational   Dataset:argilla/dpo-mix-7k   En   Endpoints compatible   Generated from trainer   License:apache-2.0   Mistral   Orpo   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/eduagarcia/mistral-orpo-mix-7k 

Mistral Orpo Mix 7K Benchmarks

ARC: 61.95 vs 96.7 (so35)-35.9%
HellaSwag: 85.51 vs 95.3 (gpt4)-10.3%
MMLU: 62.89 vs 88.3 (so35)-28.8%
TruthfulQA: 46.91 vs 59 (gpt4)-20.5%
WinoGrande: 79.72 vs 87.5 (gpt4)-8.9%
GSM8K: 41.24 vs 96.4 (so35)-57.2%
LLME Score: 0.26711
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Orpo Mix 7K (eduagarcia/mistral-orpo-mix-7k)
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Mistral Orpo Mix 7K Parameters and Internals

LLM NameMistral Orpo Mix 7K
Repository 🤗https://huggingface.co/eduagarcia/mistral-orpo-mix-7k 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2024-07-04
Maintainereduagarcia
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than eduagarcia/mistral-orpo-mix-7k.

Rank the Mistral Orpo Mix 7K Capabilities

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Release v20241124
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