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

Gpt4 Alpaca Lora Mlp 65B HF requires approximately 130.4 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 HF and how large is it?

Gpt4 Alpaca Lora Mlp 65B HF 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 HF perform on standard benchmarks?

Gpt4 Alpaca Lora Mlp 65B HF 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 HF by TheBloke — VRAM 130.4GB, 2K context

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

Gpt4 Alpaca Lora Mlp 65B HF is an open-source language model by TheBloke. Features: 65b LLM, VRAM: 130.4GB, Context: 2K, License: other, LLM Explorer Score: 0.09, Arc: 65, HellaSwag: 86.1, MMLU: 62.7, GSM8K: 28.3.

Dataset:c-s-ale/alpaca-gpt4-da... Endpoints compatible Llama Lora Pytorch Region:us Sharded

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

Gpt4 Alpaca Lora Mlp 65B HF Benchmarks

ARC: 65.02 vs 96.7 (so35)^-32.8%

HellaSwag: 86.13 vs 95.3 (gpt4)^-9.6%

MMLU: 62.73 vs 88.3 (so35)^-29%

GSM8K: 28.28 vs 96.4 (so35)^-70.7%

LLME Score: 0.08979

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gpt4 Alpaca Lora Mlp 65B HF (TheBloke/gpt4-alpaca-lora_mlp-65B-HF)

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Gpt4 Alpaca Lora Mlp 65B HF Parameters and Internals

Model Type

text2text-generation

Training Details

Data Sources:

alpaca_data_gpt4

Methodology:

LoRA MLP on 8xA100(80G)

Context Length:

512

Hardware Used:

8xA100(80G)

LLM Name	Gpt4 Alpaca Lora Mlp 65B HF
Repository 🤗	https://huggingface.co/TheBloke/gpt4-alpaca-lora_mlp-65B-HF
Model Size	65b
Required VRAM	130.4 GB
Updated	2026-05-18
Maintainer	TheBloke
Model Type	llama
Model Files	9.9 GB: 1-of-14 9.7 GB: 2-of-14 9.7 GB: 3-of-14 9.7 GB: 4-of-14 9.7 GB: 5-of-14 9.7 GB: 6-of-14 9.7 GB: 7-of-14 9.7 GB: 8-of-14 9.7 GB: 9-of-14 9.7 GB: 10-of-14 9.7 GB: 11-of-14 9.7 GB: 12-of-14 9.7 GB: 13-of-14 4.1 GB: 14-of-14
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

Quantized Models of the Gpt4 Alpaca Lora Mlp 65B HF

Model	Likes	Downloads	VRAM
Gpt4 Alpaca Lora Mlp 65B GPTQ	14	12	33 GB

Best Alternatives to Gpt4 Alpaca Lora Mlp 65B HF

Best Alternatives	Context / RAM	Downloads	Likes
Lite Oute 1 65M Instruct	2K / 0.3 GB	16	12
Lite Oute 1 65M	2K / 0.3 GB	19	11
StableBeluga1 Delta	2K / 130.4 GB	218	57
Airoboros 65B Gpt4 M2.0	2K / 130.4 GB	1017	0
Airoboros 65B Gpt4 2.0	2K / 130.4 GB	1008	0
Openbuddy Llama 65B V8 Bf16	2K / 130.6 GB	1025	9
UltraLM 65B	2K / 130.4 GB	1062	9
Llama 65B Instruct	2K / 130.4 GB	1036	15
Airoboros 65B Gpt4 1.4	2K / 130.4 GB	925	17
Airoboros 65B Gpt4 1.3	2K / 130.4 GB	999	1

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

Rank the Gpt4 Alpaca Lora Mlp 65B HF Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Gpt4 Alpaca Lora Mlp 65B HF by TheBloke