What are the hardware requirements for LeoScorpius 7B Chat DPO?

LeoScorpius 7B Chat DPO requires approximately 14.7 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 LeoScorpius 7B Chat DPO and how large is it?

LeoScorpius 7B Chat DPO is developed by viethq188, 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 LeoScorpius 7B Chat DPO perform on standard benchmarks?

LeoScorpius 7B Chat DPO has the following published scores: MMLU 65.08. Compare against reference models on this page or on the LLM Explorer leaderboards.

LeoScorpius 7B Chat DPO by viethq188 — VRAM 14.7GB, 32K context

Name: LeoScorpius 7B Chat DPO
Author: viethq188

LeoScorpius 7B Chat DPO is an open-source language model by viethq188. Features: 7b LLM, VRAM: 14.7GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 70.5, HellaSwag: 88, MMLU: 65.1, GSM8K: 69.1.

Endpoints compatible Mistral Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/viethq188/LeoScorpius-7B-Chat-DPO

LeoScorpius 7B Chat DPO Parameters and Internals

Model Type

text generation

Training Details

Data Sources:

Nectar dataset

Methodology:

Finetune DPO

Input Output

Input Format:

{system} ### Instruction: {prompt} ### Response:

Release Notes

Version:

Updated 14th December 2023

Date:

2023-12-14

Notes:

Ranked 3rd overall and 1st in the 7B category on the Hugging Face Leaderboard.

LLM Name	LeoScorpius 7B Chat DPO
Repository 🤗	https://huggingface.co/viethq188/LeoScorpius-7B-Chat-DPO
Model Size	7b
Required VRAM	14.7 GB
Updated	2026-07-31
Maintainer	viethq188
Model Type	mistral
Model Files	0.9 GB: 1-of-15 1.0 GB: 2-of-15 1.0 GB: 3-of-15 1.0 GB: 4-of-15 1.0 GB: 5-of-15 1.0 GB: 6-of-15 1.0 GB: 7-of-15 1.0 GB: 8-of-15 1.0 GB: 9-of-15 1.0 GB: 10-of-15 1.0 GB: 11-of-15 1.0 GB: 12-of-15 1.0 GB: 13-of-15 1.0 GB: 14-of-15 0.8 GB: 15-of-15
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the LeoScorpius 7B Chat DPO capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

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MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
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...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
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 viethq188/LeoScorpius-7B-Chat-DPO.