Mistral 7B Finetuned Orca DPO V2 GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:lvkaokao/mistral-7b... Base model:quantized:lvkaokao/...   Finetuned   Gptq   Mistral   Quantized   Region:us   Safetensors

Mistral 7B Finetuned Orca DPO V2 GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Finetuned Orca DPO V2 GPTQ (TheBloke/mistral-7B-finetuned-orca-dpo-v2-GPTQ)
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Mistral 7B Finetuned Orca DPO V2 GPTQ Parameters and Internals

Model Type 
mistral
Input Output 
Input Format:
{prompt}
LLM NameMistral 7B Finetuned Orca DPO V2 GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/mistral-7B-finetuned-orca-dpo-v2-GPTQ 
Model NameMistral 7B Finetuned Orca DPO V2
Model Creatorlvkaokao
Base Model(s)  ...stral 7B Finetuned Orca DPO V2   lvkaokao/mistral-7b-finetuned-orca-dpo-v2
Model Size7b
Required VRAM4.2 GB
Updated2025-09-23
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/mistral-7B-finetuned-orca-dpo-v2-GPTQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124