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Mistral22b Orpo De by johannhartmann

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  Autotrain compatible   Conversational Dataset:johannhartmann/oh25 mi... Dataset:johannhartmann/steroid...   De   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/johannhartmann/mistral22b_orpo_de 

Mistral22b Orpo De Benchmarks

LLME Score: 0.19138
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral22b Orpo De (johannhartmann/mistral22b_orpo_de)

Mistral22b Orpo De Parameters and Internals

Additional Notes 
This is a simple experiment using German ORPO training on Vezora/Mistral-22B-v0.2.
Supported Languages 
de (novice), en (novice)
Training Details 
Data Sources:
johannhartmann/steroids, johannhartmann/oh25_mistral_dpo_de
Methodology:
german ORPO training for one epoch using qlora and unsloth
LLM NameMistral22b Orpo De
Repository 🤗https://huggingface.co/johannhartmann/mistral22b_orpo_de 
Model Size22b
Required VRAM44.4 GB
Updated2024-12-21
Maintainerjohannhartmann
Model Typemistral
Model Files  9.9 GB: 1-of-5   10.0 GB: 2-of-5   9.9 GB: 3-of-5   9.9 GB: 4-of-5   4.7 GB: 5-of-5
Supported Languagesde en
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than johannhartmann/mistral22b_orpo_de.

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