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

Leo Hessianai 7B Chat requires approximately 13.5 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Leo Hessianai 7B Chat and how large is it?

Leo Hessianai 7B Chat 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.

How does Leo Hessianai 7B Chat perform on standard benchmarks?

Leo Hessianai 7B Chat has the following published scores: MMLU 45.58. Compare against reference models on this page or on the LLM Explorer leaderboards.

Leo Hessianai 7B Chat by LeoLM — VRAM 13.5GB, 8K context

Name: Leo Hessianai 7B Chat
Author: LeoLM

Leo Hessianai 7B Chat is an open-source language model by LeoLM. Features: 7b LLM, VRAM: 13.5GB, Context: 8K, Instruction-Based, HF Score: 49.3, LLM Explorer Score: 0.14, Arc: 52.6, HellaSwag: 77.6, MMLU: 45.6, TruthfulQA: 44.9, WinoGrande: 69.9, GSM8K: 5.2.

Conversational Custom code Dataset:freedomintelligence/al... Dataset:freedomintelligence/ev... Dataset:leolm/german poems Dataset:leolm/german songs Dataset:leolm/openschnabeltier Dataset:openassistant/oasst-de De En Endpoints compatible Instruct Llama Pytorch Region:us Sharded

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

Leo Hessianai 7B Chat Benchmarks

ARC: 52.56 vs 96.7 (so35)^-45.6%

HellaSwag: 77.61 vs 95.3 (gpt4)^-18.6%

MMLU: 45.58 vs 88.3 (so35)^-48.4%

TruthfulQA: 44.89 vs 59 (gpt4)^-23.9%

WinoGrande: 69.93 vs 87.5 (gpt4)^-20.1%

GSM8K: 5.16 vs 96.4 (so35)^-94.6%

LLME Score: 0.13672

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Leo Hessianai 7B Chat (LeoLM/leo-hessianai-7b-chat)

🌟 Advertise your project 🚀

Leo Hessianai 7B Chat Parameters and Internals

Model Type

Causal decoder-only transformer language model, Text generation

Use Cases

Areas:

German open-source and commercial LLM research

Applications:

Text generation, Writing, Explanation and discussion

Primary Use Cases:

German chat applications

Limitations:

Math, Advanced reasoning

Considerations:

Developers should perform safety testing and tuning tailored to their specific applications.

Additional Notes

Built on Llama-2, LeoLM aims to accelerate German open-source and commercial LLM research.

Supported Languages

English (High), German (High)

Training Details

Data Sources:

LeoLM/OpenSchnabeltier, OpenAssistant/OASST-DE, FreedomIntelligence/alpaca-gpt4-deutsch, FreedomIntelligence/evol-instruct-deutsch, LeoLM/German_Poems, LeoLM/German_Songs

Data Volume:

67530728 tokens

Methodology:

Finetuned on a selection of German instruction datasets

Context Length:

8000

Hardware Used:

HessianAI supercomputer 42

Model Architecture:

Transformer

Input Output

Input Format:

ChatML format

Accepted Modalities:

Text

Output Format:

Text

Performance Tips:

Use flash-attention2 for faster inference.

LLM Name	Leo Hessianai 7B Chat
Repository 🤗	https://huggingface.co/LeoLM/leo-hessianai-7b-chat
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-04-22
Maintainer	LeoLM
Model Type	llama
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2
Supported Languages	en de
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.33.1
Tokenizer Class	LlamaTokenizer
Padding Token	<PAD>
Vocabulary Size	32128
Torch Data Type	float16

Quantized Models of the Leo Hessianai 7B Chat

Model	Likes	Downloads	VRAM
Leo Hessianai 7B Chat GGUF	4	133	2 GB
Leo Hessianai 7B Chat GPTQ	0	25	3 GB
Leo Hessianai 7B Chat AWQ	1	15	3 GB

Best Alternatives to Leo Hessianai 7B Chat

Best Alternatives	Context / RAM	Downloads	Likes
124	1024K / 16.1 GB	93	0
A5.4	1024K / 16.1 GB	12	0
A3.4	1024K / 16.1 GB	13	0
A2.4	1024K / 16.1 GB	12	0
... Qwen2.5llamaify 7B V23.1 200K	195K / 15.2 GB	24	5
SuperNeuralDreadDevil 8B	128K / 16.1 GB	22	1
Falcon3 7B Instruct	32K / 14.8 GB	18150	78
Falcon3 Jessi V0.4 7B Slerp	32K / 14.9 GB	9	9
Jessi V0.4 Falcon3 7B Instruct	32K / 14.8 GB	22	0
Jessi V0.5 Falcon3 7B Instruct	32K / 14.8 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than LeoLM/leo-hessianai-7b-chat.

Rank the Leo Hessianai 7B Chat Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

What open-source LLMs or SLMs are you in search of? 53472 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

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

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

Leo Hessianai 7B Chat by LeoLM