What are the hardware requirements for WizardLM 70B V1.0 GPTQ?

WizardLM 70B V1.0 GPTQ requires approximately 36.7 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed WizardLM 70B V1.0 GPTQ and how large is it?

WizardLM 70B V1.0 GPTQ is developed by MaziyarPanahi, 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 WizardLM 70B V1.0 GPTQ?

WizardLM 70B V1.0 GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

WizardLM 70B V1.0 GPTQ by MaziyarPanahi — VRAM 36.7GB, 4K context

Name: WizardLM 70B V1.0 GPTQ
Author: MaziyarPanahi

WizardLM 70B V1.0 GPTQ is an open-source language model by MaziyarPanahi. Features: 70b LLM, VRAM: 36.7GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

Arxiv:2304.12244 Arxiv:2306.08568 Arxiv:2308.09583 4-bit Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-2-... Endpoints compatible Finetuned Gptq Has space Llama Pytorch Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/WizardLM-70B-V1.0-GPTQ

WizardLM 70B V1.0 GPTQ Parameters and Internals

Model Type

text-generation

LLM Name	WizardLM 70B V1.0 GPTQ
Repository 🤗	https://huggingface.co/MaziyarPanahi/WizardLM-70B-V1.0-GPTQ
Model Name	WizardLM-70B-V1.0-GPTQ
Model Creator	WizardLM
Base Model(s)	Llama 2 70B Chat Hf meta-llama/Llama-2-70b-chat-hf
Model Size	70b
Required VRAM	36.7 GB
Updated	2026-05-31
Maintainer	MaziyarPanahi
Model Type	llama
Model Files	36.7 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32001
Torch Data Type	float16

Rank the WizardLM 70B V1.0 GPTQ capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 WizardLM 70B V1.0 GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...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
Opus V1.2 70B Marlin	32K / 36.4 GB	8	0
MoMo 70B Lora 1.8.4 DPO GPTQ	32K / 41.3 GB	5	1
MoMo 70B Lora 1.8.6 DPO GPTQ	32K / 41.3 GB	4	1
Tess 70B V1.6 Marlin	31K / 36.3 GB	7	1
Midnight Miqu 70B V1.5 GPTQ32G	31K / 40.7 GB	43	4
...Midnight Miqu 70B V1.0 GPTQ32G	31K / 40.7 GB	8	2
Senku 70B GPTQ 4bit	31K / 36.7 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/WizardLM-70B-V1.0-GPTQ.