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

Platypus2 70B Instruct GGML requires approximately 28.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Platypus2 70B Instruct GGML and how large is it?

Platypus2 70B Instruct GGML 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 GGML?

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

Platypus2 70B Instruct GGML by TheBloke — VRAM 28.6GB

Name: Platypus2 70B Instruct GGML
Author: TheBloke

Platypus2 70B Instruct GGML is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 28.6GB, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.08.

Arxiv:2307.09288 Arxiv:2308.07317 Base model:finetune:garage-bai... Base model:garage-baind/platyp... Dataset:garage-baind/open-plat... Dataset:open-orca/openorca En Ggml Instruct Quantized Region:us

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

Platypus2 70B Instruct GGML Parameters and Internals

Model Type

llama

Additional Notes

For compatibility with latest llama.cpp, please use GGUF files instead.

Supported Languages

English (Advanced)

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:

LLaMA 2 transformer architecture

LLM Name	Platypus2 70B Instruct GGML
Repository 🤗	https://huggingface.co/TheBloke/Platypus2-70B-Instruct-GGML
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	28.6 GB
Updated	2026-06-01
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	28.6 GB 36.1 GB 33.0 GB 29.7 GB 38.9 GB 43.2 GB 41.4 GB 38.9 GB 47.5 GB 48.8 GB 47.5 GB
Supported Languages	en
GGML Quantization	Yes
Quantization Type	ggml
Model Architecture	AutoModel
License	llama2

Rank the Platypus2 70B Instruct GGML 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 GGML

Best Alternatives	Context / RAM	Downloads	Likes
Llama 2 70B Orca 200K GGML	0K / 28.6 GB	7	3
...e Llama 2 70B Instruct V2 GGML	0K / 28.6 GB	5	22
... Distil Llama 3.3 70B Instruct	0K / 0.8 GB	9	3
... 70B Instruct Abliterated LORA	0K / 1.7 GB	0	7
CodeLlama 70B Instruct GGUF	0K / 25.5 GB	1375	64
Meta Llama 3 70B Instruct GGUF	0K / 26.4 GB	133	4
DAD Model V2 70B Q4	0K / 42.5 GB	13	0
Swallow 70B Instruct GGUF	0K / 29.4 GB	1495	9
Leo Hessianai 70B Chat GGUF	0K / 29.3 GB	617	1
...tablelm Instruct Beta 70B GGUF	0K / 29.3 GB	1334	12

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Platypus2-70B-Instruct-GGML.