What are the hardware requirements for GPlatty 30B SuperHOT 8K Fp16?

GPlatty 30B SuperHOT 8K Fp16 requires approximately 65.2 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 GPlatty 30B SuperHOT 8K Fp16 and how large is it?

GPlatty 30B SuperHOT 8K Fp16 is developed by TheBloke, a model with 30b 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 GPlatty 30B SuperHOT 8K Fp16?

GPlatty 30B SuperHOT 8K Fp16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GPlatty 30B SuperHOT 8K Fp16 by TheBloke — VRAM 65.2GB, 8K context

Name: GPlatty 30B SuperHOT 8K Fp16
Author: TheBloke

GPlatty 30B SuperHOT 8K Fp16 is an open-source language model by TheBloke. Features: 30b LLM, VRAM: 65.2GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.08.

Arxiv:2302.13971 Custom code Ext 8k Fp16 Llama Pytorch Quantized Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/TheBloke/GPlatty-30B-SuperHOT-8K-fp16

GPlatty 30B SuperHOT 8K Fp16 Parameters and Internals

Model Type

auto-regressive language model

Use Cases

Areas:

research, commercial applications

Applications:

text generation, question answering

Primary Use Cases:

extendable context generation, language model evaluation

Limitations:

may contain offensive, harmful, and biased content

Considerations:

Chat responses from this model should not be considered as the ultimate source of truth.

Additional Notes

This model represents a merge of two prominent models, Platypus-30B and Gpt4-alpaca-lora-30b; uses novel techniques like trust_remote_code=True for leveraging extended context.

Supported Languages

English (Advanced)

Training Details

Context Length:

8192

Hardware Used:

A100 80GB GPU

Model Architecture:

LLaMA transformer architecture

Safety Evaluation

Methodologies:

section 5.1 of the LLaMA paper

Risk Categories:

offensive, harmful, biased content

Ethical Considerations:

We have not performed any studies to determine how fine-tuning on the aforementioned datasets affect the model's behavior and toxicity.

Input Output

Input Format:

PyTorch format, sequence length up to 8192.

Accepted Modalities:

text

Output Format:

PyTorch output for text generation.

Performance Tips:

Config max_position_embeddings can be set to 4096 for smaller sequence length during inference.

LLM Name	GPlatty 30B SuperHOT 8K Fp16
Repository 🤗	https://huggingface.co/TheBloke/GPlatty-30B-SuperHOT-8K-fp16
Model Size	30b
Required VRAM	65.2 GB
Updated	2026-07-30
Maintainer	TheBloke
Model Type	llama
Model Files	9.8 GB: 1-of-7 10.0 GB: 2-of-7 9.9 GB: 3-of-7 9.9 GB: 4-of-7 9.9 GB: 5-of-7 10.0 GB: 6-of-7 5.7 GB: 7-of-7
Context Length	8k
Quantization Type	fp16
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.30.0.dev0
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 GPlatty 30B SuperHOT 8K Fp16 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 GPlatty 30B SuperHOT 8K Fp16

Best Alternatives	Context / RAM	Downloads	Likes
Tenebra 30B Alpha01 FP16	16K / 65 GB	1833	9
Tenebra 30B Alpha01 4BIT	16K / 19.4 GB	73	1
...nebra 30B Alpha01 EXL2 2 80bpw	16K / 11.9 GB	4	1
...nebra 30B Alpha01 EXL2 2 50bpw	16K / 10.7 GB	6	0
Tenebra 30B Alpha01 EXL2 3bpw	16K / 12.7 GB	6	0
Tenebra 30B Alpha01 3BIT	16K / 12.9 GB	5	0
Platypus 30B SuperHOT 8K Fp16	8K / 65.2 GB	176	2
... 30B Supercot SuperHOT 8K Fp16	8K / 65.2 GB	141	4
Tulu 30B Fp16	2K / 65.2 GB	325	5
Llama 1 30B E8P 2Bit	2K / 8.9 GB	4	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/GPlatty-30B-SuperHOT-8K-fp16.