Mistral V0.3 7B ORPO by llmat

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Conversational   En   Endpoints compatible   Mistral   Orpo   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Mistral V0.3 7B ORPO Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral V0.3 7B ORPO Parameters and Internals

LLM NameMistral V0.3 7B ORPO
Repository ๐Ÿค—https://huggingface.co/llmat/Mistral-v0.3-7B-ORPO 
Base Model(s)  unsloth/mistral-7b-v0.3-bnb-4bit   unsloth/mistral-7b-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2024-09-16
Maintainerllmat
Model Typemistral
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32768
Torch Data Typebfloat16
Mistral V0.3 7B ORPO (llmat/Mistral-v0.3-7B-ORPO)

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Mistral 7B V0.3 Bnb 4bit32K / 4.1 GB2497112
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...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB5684914
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Note: green Score (e.g. "73.2") means that the model is better than llmat/Mistral-v0.3-7B-ORPO.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803