What are the hardware requirements for Platypus2 70B Instruct GPTQ?

Platypus2 70B Instruct GPTQ requires approximately 35.3 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 Platypus2 70B Instruct GPTQ and how large is it?

Platypus2 70B Instruct 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 Platypus2 70B Instruct GPTQ?

Platypus2 70B Instruct GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Platypus2 70B Instruct GPTQ by TheBloke — VRAM 35.3GB, 4K context

Name: Platypus2 70B Instruct GPTQ
Author: TheBloke

Platypus2 70B Instruct GPTQ is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 35.3GB, Context: 4K, License: cc-by-nc-4.0, Quantized, Instruction-Based, LLM Explorer Score: 0.08.

Arxiv:2307.09288 Arxiv:2308.07317 4-bit Base model:garage-baind/platyp... Base model:quantized:garage-ba... Dataset:garage-baind/open-plat... Dataset:open-orca/openorca En Gptq Instruct Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/Platypus2-70B-Instruct-GPTQ

Platypus2 70B Instruct GPTQ Parameters and Internals

Model Type

llama, auto-regressive language model

Supported Languages

en (English)

Training Details

Data Sources:

garage-bAInd/Open-Platypus

Methodology:

Instruction fine-tuned using LoRA on 8 A100 80GB.

Hardware Used:

8 A100 80GB

Model Architecture:

Based on LLaMA 2 transformer architecture.

Input Output

Input Format:

### Instruction: {prompt} ### Response:

LLM Name	Platypus2 70B Instruct GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Platypus2-70B-Instruct-GPTQ
Model Name	Platypus2 70B Instruct
Model Creator	garage-bAInd
Base Model(s)	Platypus2 70B Instruct garage-bAInd/Platypus2-70B-instruct
Model Size	70b
Required VRAM	35.3 GB
Updated	2026-07-10
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	35.3 GB
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Platypus2 70B Instruct 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 Platypus2 70B Instruct 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/Platypus2-70B-Instruct-GPTQ.