What are the hardware requirements for Leo Hessianai 70B Chat?

Leo Hessianai 70B Chat requires approximately 138 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 70B Chat and how large is it?

Leo Hessianai 70B Chat is developed by LeoLM, a model with 70b 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 Hessianai 70B Chat?

Leo Hessianai 70B Chat is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Leo Hessianai 70B Chat by LeoLM — VRAM 138GB, 8K context

Name: Leo Hessianai 70B Chat
Author: LeoLM

Leo Hessianai 70B Chat is an open-source language model by LeoLM. Features: 70b LLM, VRAM: 138GB, Context: 8K, License: llama2, Instruction-Based, LLM Explorer Score: 0.1.

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

Model Card on HF 🤗: https://huggingface.co/LeoLM/leo-hessianai-70b-chat

Leo Hessianai 70B Chat Parameters and Internals

LLM Name	Leo Hessianai 70B Chat
Repository 🤗	https://huggingface.co/LeoLM/leo-hessianai-70b-chat
Model Size	70b
Required VRAM	138 GB
Updated	2026-07-05
Maintainer	LeoLM
Model Type	llama
Instruction-Based	Yes
Model Files	9.8 GB: 1-of-15 9.8 GB: 2-of-15 10.0 GB: 3-of-15 9.8 GB: 4-of-15 9.8 GB: 5-of-15 9.8 GB: 6-of-15 10.0 GB: 7-of-15 9.8 GB: 8-of-15 9.8 GB: 9-of-15 9.8 GB: 10-of-15 10.0 GB: 11-of-15 9.8 GB: 12-of-15 9.8 GB: 13-of-15 9.5 GB: 14-of-15 0.5 GB: 15-of-15
Supported Languages	en de
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	8192
Model Max Length	8192
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Padding Token	<PAD>
Vocabulary Size	32128
Torch Data Type	float16

Rank the Leo Hessianai 70B Chat 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
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Quantized Models of the Leo Hessianai 70B Chat

Model	Likes	Downloads	VRAM
Leo Hessianai 70B Chat GGUF	1	617	29 GB
Leo Hessianai 70B Chat GPTQ	1	18	35 GB
Leo Hessianai 70B Chat AWQ	1	3	36 GB

Best Alternatives to Leo Hessianai 70B Chat

Best Alternatives	Context / RAM	Downloads	Likes
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	7684	4
... 3 70B Instruct Gradient 1048K	1024K / 141.9 GB	22	122
Llama3 Function Calling 1048K	1024K / 141.9 GB	5	1
...a 3 70B Instruct Gradient 524K	512K / 141.9 GB	24	23
...a 3 70B Instruct Gradient 262K	256K / 141.9 GB	20	56
...ama 3 70B Arimas Story RP V2.0	256K / 141.1 GB	10	3
...ama 3 70B Arimas Story RP V1.6	256K / 141.2 GB	5	0
...ama 3 70B Arimas Story RP V1.5	256K / 141.2 GB	21	3
Llama 3.1 70B Instruct	128K / 141.9 GB	813492	938

Note: green Score (e.g. "73.2") means that the model is better than LeoLM/leo-hessianai-70b-chat.