What are the hardware requirements for Gpt4 Alpaca Lora Mlp 65B GPTQ?

Gpt4 Alpaca Lora Mlp 65B GPTQ requires approximately 33.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gpt4 Alpaca Lora Mlp 65B GPTQ and how large is it?

Gpt4 Alpaca Lora Mlp 65B GPTQ is developed by TheBloke, a model with 65b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gpt4 Alpaca Lora Mlp 65B GPTQ perform on standard benchmarks?

Gpt4 Alpaca Lora Mlp 65B GPTQ has the following published scores: MMLU 62.73. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gpt4 Alpaca Lora Mlp 65B GPTQ by TheBloke — VRAM 33.5GB, 2K context

Name: Gpt4 Alpaca Lora Mlp 65B GPTQ
Author: TheBloke

Gpt4 Alpaca Lora Mlp 65B GPTQ is an open-source language model by TheBloke. Features: 65b LLM, VRAM: 33.5GB, Context: 2K, License: other, Quantized, LLM Explorer Score: 0.08, Arc: 65, HellaSwag: 86.1, MMLU: 62.7, GSM8K: 28.3.

4-bit Dataset:c-s-ale/alpaca-gpt4-da... Endpoints compatible Gptq Llama Lora Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/gpt4-alpaca-lora_mlp-65B-GPTQ

Gpt4 Alpaca Lora Mlp 65B GPTQ Parameters and Internals

Model Type

text2text-generation

Use Cases

Areas:

research, commercial applications

Additional Notes

Merged LoRA weights with original Llama 65B model, quantized to 4bit using GPTQ.

Training Details

Data Sources:

alpaca_data_gpt4

Methodology:

Fine-tuning using LoRA

Context Length:

512

Hardware Used:

8xA100(80G)

Model Architecture:

LoRA [MLP]

Input Output

Accepted Modalities:

text

Performance Tips:

Limit responses to <1500 tokens to avoid VRAM overflow.

LLM Name	Gpt4 Alpaca Lora Mlp 65B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/gpt4-alpaca-lora_mlp-65B-GPTQ
Base Model(s)	Gpt4 Alpaca Lora Mlp 65B HF TheBloke/gpt4-alpaca-lora_mlp-65B-HF
Model Size	65b
Required VRAM	33.5 GB
Updated	2026-07-24
Maintainer	TheBloke
Model Type	llama
Model Files	33.5 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
LoRA Model	Yes
Torch Data Type	float16

Rank the Gpt4 Alpaca Lora Mlp 65B 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 Gpt4 Alpaca Lora Mlp 65B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...en Instruct Human Mix 65B GPTQ	2K / 33.5 GB	11	0
Airoboros 65B Gpt4 1.4 GPTQ	2K / 33.5 GB	12	13
Airoboros 65B Gpt4 1.3 GPTQ	2K / 33.5 GB	5	3
Airoboros 65B Gpt4 1.2 GPTQ	2K / 33.5 GB	41	11
Dromedary 65B Lora GPTQ	2K / 33.5 GB	6	6
Guanaco 65B GPTQ	2K / 33.5 GB	481	262
Airoboros 65B GPT4 2.0 GPTQ	2K / 33.5 GB	8	3
Airoboros 65B GPT4 M2.0 GPTQ	2K / 33.5 GB	3	2
...stage Llama1 65B Instruct GPTQ	2K / 34.7 GB	9	3
...Research Oasst1 Llama 65B GPTQ	2K / 33.5 GB	11	5

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/gpt4-alpaca-lora_mlp-65B-GPTQ.