What are the hardware requirements for Candle Snorkel Mistral PairRM DPO?

Candle Snorkel Mistral PairRM DPO requires approximately 14.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Candle Snorkel Mistral PairRM DPO and how large is it?

Candle Snorkel Mistral PairRM DPO is developed by DanielClough. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Candle Snorkel Mistral PairRM DPO perform on standard benchmarks?

Candle Snorkel Mistral PairRM DPO has the following published scores: MMLU 60.85. Compare against reference models on this page or on the LLM Explorer leaderboards.

Candle Snorkel Mistral PairRM DPO by DanielClough — VRAM 14.4GB, 32K context

Name: Candle Snorkel Mistral PairRM DPO
Author: DanielClough

Candle Snorkel Mistral PairRM DPO is an open-source language model by DanielClough. Features: LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.12, Arc: 66, HellaSwag: 85.6, MMLU: 60.9, GSM8K: 36.2.

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

Model Card on HF 🤗: https://huggingface.co/DanielClough/Candle_Snorkel-Mistral-PairRM-DPO

Candle Snorkel Mistral PairRM DPO Parameters and Internals

LLM Name	Candle Snorkel Mistral PairRM DPO
Repository 🤗	https://huggingface.co/DanielClough/Candle_Snorkel-Mistral-PairRM-DPO
Base Model(s)	Snorkel Mistral PairRM DPO snorkelai/Snorkel-Mistral-PairRM-DPO
Required VRAM	14.4 GB
Updated	2026-10-09
Maintainer	DanielClough
Model Type	mistral
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 Quantization	Yes
Quantization Type	q4\|gguf
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Candle Snorkel Mistral PairRM DPO capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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...istral C64Wizard Instruct GGUF	32K / 4.4 GB	19	0
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Equall Saul Instruct V1	32K / 5.1 GB	30	0
AI G Expander V5 GGUF	32K / 4.4 GB	11	0
Candle Tiny Mistral	32K / 0.4 GB	279	0
MHENN4 GGUF	32K / 4.4 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than DanielClough/Candle_Snorkel-Mistral-PairRM-DPO.