What are the hardware requirements for Leo Mistral Hessianai 7B?

Leo Mistral Hessianai 7B 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 Leo Mistral Hessianai 7B and how large is it?

Leo Mistral Hessianai 7B is developed by LeoLM, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Leo Mistral Hessianai 7B?

Leo Mistral Hessianai 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Leo Mistral Hessianai 7B by LeoLM — VRAM 14.4GB, 32K context

Name: Leo Mistral Hessianai 7B
Author: LeoLM

Leo Mistral Hessianai 7B is an open-source language model by LeoLM. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.09.

Dataset:bjoernp/tagesschau-201... Dataset:oscar-corpus/oscar-230... Dataset:wikipedia De En Endpoints compatible Mistral Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/LeoLM/leo-mistral-hessianai-7b

Leo Mistral Hessianai 7B Parameters and Internals

Model Type

Causal decoder-only transformer language model, text-generation

Supported Languages

en (high), de (high)

Training Details

Data Sources:

oscar-corpus/OSCAR-2301, wikipedia, bjoernp/tagesschau-2018-2023

Methodology:

Continued pretraining on a large corpus of German-language texts

Context Length:

8000

Hardware Used:

HessianAI's supercomputer **42**

Model Architecture:

Transformer

LLM Name	Leo Mistral Hessianai 7B
Repository 🤗	https://huggingface.co/LeoLM/leo-mistral-hessianai-7b
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-28
Maintainer	LeoLM
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Supported Languages	en de
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Leo Mistral Hessianai 7B 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

Best Alternatives to Leo Mistral Hessianai 7B

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...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...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 LeoLM/leo-mistral-hessianai-7b.