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

Leo Hessianai 70B Chat GPTQ requires approximately 35.3 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 GPTQ and how large is it?

Leo Hessianai 70B Chat GPTQ is developed by TheBloke, 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 GPTQ?

Leo Hessianai 70B Chat GPTQ 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 GPTQ by TheBloke — VRAM 35.3GB, 8K context

Name: Leo Hessianai 70B Chat GPTQ
Author: TheBloke

Leo Hessianai 70B Chat GPTQ is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 35.3GB, Context: 8K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

4-bit Base model:leolm/leo-hessianai... Base model:quantized:leolm/leo... Conversational Dataset:freedomintelligence/al... Dataset:freedomintelligence/ev... Dataset:leolm/german poems Dataset:leolm/german songs Dataset:leolm/openschnabeltier Dataset:openassistant/oasst-de De En Gptq Instruct Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/leo-hessianai-70B-chat-GPTQ

Leo Hessianai 70B Chat GPTQ Parameters and Internals

LLM Name	Leo Hessianai 70B Chat GPTQ
Repository 🤗	https://huggingface.co/TheBloke/leo-hessianai-70B-chat-GPTQ
Model Name	Leo Hessianai 70B Chat
Model Creator	LAION LeoLM
Base Model(s)	Leo Hessianai 70B Chat LeoLM/leo-hessianai-70b-chat
Model Size	70b
Required VRAM	35.3 GB
Updated	2026-08-07
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	35.3 GB
Supported Languages	en de
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	8192
Model Max Length	8192
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	<PAD>
Vocabulary Size	32128
Torch Data Type	float16

Rank the Leo Hessianai 70B Chat GPTQ 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

Best Alternatives to Leo Hessianai 70B Chat GPTQ

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...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	517	6
...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	129	0
...ama 3.1 70B Instruct Gptq 4bit	128K / 39.9 GB	7	4
...ta Llama 3 70B Instruct Marlin	8K / 39.5 GB	141	6
...ama 3 Taiwan 70B Instruct GPTQ	8K / 39.8 GB	6	2
Meta Llama 3 70B Instruct GPTQ	8K / 39.8 GB	905	16
Meta Llama 3 70B Instruct GPTQ	8K / 39.8 GB	763	19
...g Llama 3 70B Instruct GPTQ 4B	8K / 39.8 GB	6	0
...g Llama 3 70B Instruct GPTQ 8B	8K / 74.4 GB	3	1
...a Llama 3 70B Instruct GPTQ 8B	8K / 74.4 GB	17	0

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