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

Leo Hessianai 70B Chat AWQ requires approximately 36.6 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 AWQ and how large is it?

Leo Hessianai 70B Chat AWQ 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 AWQ?

Leo Hessianai 70B Chat AWQ 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 AWQ by TheBloke — VRAM 36.6GB, 8K context

Name: Leo Hessianai 70B Chat AWQ
Author: TheBloke

Leo Hessianai 70B Chat AWQ is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 36.6GB, Context: 8K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

4-bit Awq 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 Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow

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

Leo Hessianai 70B Chat AWQ Parameters and Internals

LLM Name	Leo Hessianai 70B Chat AWQ
Repository 🤗	https://huggingface.co/TheBloke/leo-hessianai-70B-chat-AWQ
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	36.6 GB
Updated	2026-07-14
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-4 9.9 GB: 2-of-4 9.9 GB: 3-of-4 6.9 GB: 4-of-4
Supported Languages	en de
AWQ Quantization	Yes
Quantization Type	awq
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 AWQ 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
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Code Generation
Multi-Language Support and Translation

Best Alternatives to Leo Hessianai 70B Chat AWQ

Best Alternatives	Context / RAM	Downloads	Likes
...0B Instruct Gradient 1048K AWQ	1024K / 39.9 GB	5	1
...70B Instruct Gradient 262K AWQ	256K / 39.9 GB	5	0
Llama 3.3 70B Instruct AWQ	128K / 39.9 GB	262002	46
...lama 3.3 70B Instruct AWQ INT4	128K / 39.9 GB	82744	30
Llama 3.3 70B Instruct AWQ	128K / 39.9 GB	16090	12
... SauerkrautLM 70B Instruct AWQ	128K / 39.9 GB	5	5
Llama 3 70B Instruct AWQ	8K / 39.9 GB	122175	71
Meta Llama 3 70B Instruct AWQ	8K / 39.9 GB	8	1
Llama 3 70B Instruct AWQ	8K / 39.9 GB	17	1
... Llama 3 70B Instruct AWQ GEMM	8K / 39.9 GB	6	0

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