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

Leo Hessianai 7B Chat Bilingual 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 Bilingual and how large is it?

Leo Hessianai 7B Chat Bilingual 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 Bilingual perform on standard benchmarks?

Leo Hessianai 7B Chat Bilingual has the following published scores: MMLU 44.68. Compare against reference models on this page or on the LLM Explorer leaderboards.

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

Name: Leo Hessianai 7B Chat Bilingual
Author: LeoLM

Leo Hessianai 7B Chat Bilingual is an open-source language model by LeoLM. Features: 7b LLM, VRAM: 13.5GB, Context: 8K, Instruction-Based, HF Score: 48.7, LLM Explorer Score: 0.13, Arc: 51, HellaSwag: 76, MMLU: 44.7, TruthfulQA: 47.2, WinoGrande: 70.7, GSM8K: 2.7.

Custom code Dataset:bjoernp/oasst25-08-23-... Dataset:freedomintelligence/al... Dataset:freedomintelligence/ev... Dataset:garage-baind/open-plat... Dataset:leolm/german poems Dataset:leolm/german songs Dataset:leolm/openschnabeltier Dataset:openassistant/oasst-de Dataset:wizardlm/wizardlm evol... De En Endpoints compatible Instruct Llama Pytorch Region:us Sharded

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

Leo Hessianai 7B Chat Bilingual Benchmarks

ARC: 51.02 vs 96.7 (so35)^-47.2%

HellaSwag: 76.03 vs 95.3 (gpt4)^-20.2%

MMLU: 44.68 vs 88.3 (so35)^-49.4%

TruthfulQA: 47.16 vs 59 (gpt4)^-20.1%

WinoGrande: 70.72 vs 87.5 (gpt4)^-19.2%

GSM8K: 2.73 vs 96.4 (so35)^-97.2%

LLME Score: 0.13197

^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 Bilingual (LeoLM/leo-hessianai-7b-chat-bilingual)

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Leo Hessianai 7B Chat Bilingual Parameters and Internals

Model Type

Causal decoder-only transformer language model

Use Cases

Applications:

Writing, Explanation, Discussion tasks

Primary Use Cases:

Bilingual chat in English and German

Limitations:

Struggles with math and advanced reasoning

Considerations:

Developers should perform safety testing prior to deployment.

Additional Notes

Developed in collaboration with LAION and HessianAI.

Supported Languages

en (Bilingual support in English and German), de (Bilingual support in English and German)

Training Details

Data Sources:

LeoLM/OpenSchnabeltier, OpenAssistant/OASST-DE, FreedomIntelligence/alpaca-gpt4-deutsch, FreedomIntelligence/evol-instruct-deutsch, LeoLM/German_Poems, LeoLM/German_Songs, garage-bAInd/Open-Platypus, WizardLM/WizardLM_evol_instruct_70k, bjoernp/oasst25-08-23-filtered

Data Volume:

Total Accepted: 235632 samples Total Accepted tokens: 115,862,397

Methodology:

Continued pretraining on a large corpus of German-language text

Context Length:

8000

Hardware Used:

HessianAI's new supercomputer 42

Safety Evaluation

Ethical Considerations:

Potential outputs cannot be predicted in advance, may include inaccurate, biased, or objectionable responses.

Input Output

Input Format:

ChatML format

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Can utilize flash-attn2 for faster inference.

LLM Name	Leo Hessianai 7B Chat Bilingual
Repository 🤗	https://huggingface.co/LeoLM/leo-hessianai-7b-chat-bilingual
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-04-29
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
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32128
Torch Data Type	float16

Quantized Models of the Leo Hessianai 7B Chat Bilingual

Model	Likes	Downloads	VRAM
...ssianai 7B Chat Bilingual GGUF	4	380	2 GB
...ssianai 7B Chat Bilingual GPTQ	0	23	3 GB
...essianai 7B Chat Bilingual AWQ	2	7	3 GB

Best Alternatives to Leo Hessianai 7B Chat Bilingual

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-bilingual.

Rank the Leo Hessianai 7B Chat Bilingual 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

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Leo Hessianai 7B Chat Bilingual by LeoLM