What are the hardware requirements for Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit?

Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit requires approximately 5.8 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 Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit and how large is it?

Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit is developed by chplushsieh, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit perform on standard benchmarks?

Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit has the following published scores: MMLU 66.67. Compare against reference models on this page or on the LLM Explorer leaderboards.

Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit by chplushsieh — VRAM 5.8GB, 8K context

Name: Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit
Author: chplushsieh

Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit is an open-source language model by chplushsieh. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.14, Arc: 61.6, HellaSwag: 78.4, MMLU: 66.7, GSM8K: 70.1.

4-bit 4bit Conversational Endpoints compatible Gptq Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/chplushsieh/Meta-Llama-3-8B-Instruct-abliterated-v3-GPTQ-4bit

Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit Parameters and Internals

Model Type

quantized

Additional Notes

Quantized with 'wikitext2' dataset.

LLM Name	Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit
Repository 🤗	https://huggingface.co/chplushsieh/Meta-Llama-3-8B-Instruct-abliterated-v3-GPTQ-4bit
Base Model(s)	...a 3 8B Instruct Abliterated V3 failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
Model Size	8b
Required VRAM	5.8 GB
Updated	2026-07-25
Maintainer	chplushsieh
Model Type	llama
Instruction-Based	Yes
Model Files	4.7 GB: 1-of-2 1.1 GB: 2-of-2
GPTQ Quantization	Yes
Quantization Type	gptq\|4bit
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit 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 Meta Llama 3 8B Instruct Abliterated V3 GPTQ 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...a 3 8B Instruct 262K 4bit GPTQ	256K / 5.8 GB	5	1
... 8B Instruct 262K 4bit GPTQ 02	256K / 5.7 GB	6	0
...Instruct V0.5 GPTQ Safetensors	128K / 4.9 GB	113	0
...lama 3.1 8B Instruct GPTQ INT4	128K / 5.8 GB	9169	42
...Instruct 80K Qlora Merged GPTQ	80K / 5.8 GB	6	0
...oLeo Instruct 8B 32K V0.1 GPTQ	64K / 5.7 GB	5	0
Meta Llama 3 8B Instruct GPTQ	8K / 5.8 GB	6	0
...ta Llama 3 8B Instruct GPTQ 8B	8K / 9.2 GB	7	0
Meta Llama 3 8B Instruct GPTQ	8K / 5.7 GB	2895	7
Meta Llama 3 8B Instruct GPTQ	8K / 5.8 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than chplushsieh/Meta-Llama-3-8B-Instruct-abliterated-v3-GPTQ-4bit.