What are the hardware requirements for T3Q Mistral Orca Math DPO?

T3Q Mistral Orca Math 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 T3Q Mistral Orca Math DPO and how large is it?

T3Q Mistral Orca Math DPO is developed by chihoonlee10, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does T3Q Mistral Orca Math DPO perform on standard benchmarks?

T3Q Mistral Orca Math DPO has the following published scores: MMLU 64.42. Compare against reference models on this page or on the LLM Explorer leaderboards.

T3Q Mistral Orca Math DPO by chihoonlee10 — VRAM 14.4GB, 32K context

Name: T3Q Mistral Orca Math DPO
Author: chihoonlee10

T3Q Mistral Orca Math DPO is an open-source language model by chihoonlee10. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12, Arc: 73, HellaSwag: 89.2, MMLU: 64.4, GSM8K: 70.3.

Base model:finetune:liminerity... Base model:liminerity/m7-7b Dataset:kyujinpy/orca math dpo En Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/chihoonlee10/T3Q-Mistral-Orca-Math-DPO

T3Q Mistral Orca Math DPO Parameters and Internals

Release Notes

Date:

2024-03-13

LLM Name	T3Q Mistral Orca Math DPO
Repository 🤗	https://huggingface.co/chihoonlee10/T3Q-Mistral-Orca-Math-DPO
Base Model(s)	M7 7B liminerity/M7-7b
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-02
Maintainer	chihoonlee10
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the T3Q Mistral Orca Math 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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Code Generation
Multi-Language Support and Translation

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MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
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Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than chihoonlee10/T3Q-Mistral-Orca-Math-DPO.