What are the hardware requirements for Meta Llama 3.1 70B Instruct AQLM PV 2Bit 1x16?

Meta Llama 3.1 70B Instruct AQLM PV 2Bit 1x16 requires approximately 22 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 3.1 70B Instruct AQLM PV 2Bit 1x16 and how large is it?

Meta Llama 3.1 70B Instruct AQLM PV 2Bit 1x16 is developed by ISTA-DASLab, 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 Meta Llama 3.1 70B Instruct AQLM PV 2Bit 1x16?

Meta Llama 3.1 70B Instruct AQLM PV 2Bit 1x16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3.1 70B Instruct AQLM PV 2Bit 1x16 by ISTA-DASLab — VRAM 22GB, 8K context

Name: Meta Llama 3.1 70B Instruct AQLM PV 2Bit 1x16
Author: ISTA-DASLab

Meta Llama 3.1 70B Instruct AQLM PV 2Bit 1x16 is an open-source language model by ISTA-DASLab. Features: 70b LLM, VRAM: 22GB, Context: 8K, License: meta, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

Arxiv:2401.06118 Arxiv:2405.14852 2bit Aqlm Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Conversational Endpoints compatible Facebook Instruct Llama Llama-3 Meta Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ISTA-DASLab/Meta-Llama-3.1-70B-Instruct-AQLM-PV-2Bit-1x16

Meta Llama 3.1 70B Instruct AQLM PV 2Bit 1x16 Parameters and Internals

Model Type

conversational, text generation

Additional Notes

Official AQLM quantization, finetuned with PV-Tuning. Used 1 codebook of 16 bits and groupsize of 8.

LLM Name	Meta Llama 3.1 70B Instruct AQLM PV 2Bit 1x16
Repository 🤗	https://huggingface.co/ISTA-DASLab/Meta-Llama-3.1-70B-Instruct-AQLM-PV-2Bit-1x16
Base Model(s)	meta-llama/Meta-Llama-3.1-70B-Instruct meta-llama/Meta-Llama-3.1-70B-Instruct
Model Size	70b
Required VRAM	22 GB
Updated	2026-08-07
Maintainer	ISTA-DASLab
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-5 5.0 GB: 2-of-5 5.0 GB: 3-of-5 4.9 GB: 4-of-5 2.1 GB: 5-of-5
Quantization Type	2bit
Model Architecture	LlamaForCausalLM
License	meta
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Meta Llama 3.1 70B Instruct AQLM PV 2Bit 1x16 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

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