Candle Snorkel Mistral PairRM DPO by DanielClough

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  Autotrain compatible   Conversational   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us   Sharded   Tensorflow

Candle Snorkel Mistral PairRM DPO Benchmarks

Candle Snorkel Mistral PairRM DPO (DanielClough/Candle_Snorkel-Mistral-PairRM-DPO)
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Candle Snorkel Mistral PairRM DPO Parameters and Internals

LLM NameCandle Snorkel Mistral PairRM DPO
Repository ๐Ÿค—https://huggingface.co/DanielClough/Candle_Snorkel-Mistral-PairRM-DPO 
Base Model(s)  Snorkel Mistral PairRM DPO   snorkelai/Snorkel-Mistral-PairRM-DPO
Required VRAM14.4 GB
Updated2025-07-31
MaintainerDanielClough
Model Typemistral
Model Files  14.5 GB   2.4 GB   3.1 GB   4.1 GB   4.5 GB   4.1 GB   5.0 GB   5.4 GB   5.0 GB   5.9 GB   7.7 GB   8.2 GB   8.3 GB   9.9 GB: 1-of-2   4.5 GB: 2-of-2
GGUF QuantizationYes
Quantization Typeq4|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
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 DanielClough/Candle_Snorkel-Mistral-PairRM-DPO.

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