What are the hardware requirements for Mixtral 8x7b AQLM 2Bit 1x16 Hf?

Mixtral 8x7b AQLM 2Bit 1x16 Hf requires approximately 13.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mixtral 8x7b AQLM 2Bit 1x16 Hf and how large is it?

Mixtral 8x7b AQLM 2Bit 1x16 Hf is developed by ISTA-DASLab, a model with 6.5b 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 Mixtral 8x7b AQLM 2Bit 1x16 Hf?

Mixtral 8x7b AQLM 2Bit 1x16 Hf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mixtral 8x7b AQLM 2Bit 1x16 Hf by ISTA-DASLab — VRAM 13.1GB, 32K context

Name: Mixtral 8x7b AQLM 2Bit 1x16 Hf
Author: ISTA-DASLab

Mixtral 8x7b AQLM 2Bit 1x16 Hf is an open-source language model by ISTA-DASLab. Features: 6.5b LLM, VRAM: 13.1GB, Context: 32K, MoE, Quantized, LLM Explorer Score: 0.11.

Arxiv:2401.06118 2bit Aqlm Endpoints compatible Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ISTA-DASLab/Mixtral-8x7b-AQLM-2Bit-1x16-hf

Mixtral 8x7b AQLM 2Bit 1x16 Hf Parameters and Internals

Additional Notes

This quantization uses 1 codebook of 16 bits.

LLM Name	Mixtral 8x7b AQLM 2Bit 1x16 Hf
Repository 🤗	https://huggingface.co/ISTA-DASLab/Mixtral-8x7b-AQLM-2Bit-1x16-hf
Model Size	6.5b
Required VRAM	13.1 GB
Updated	2026-04-25
Maintainer	ISTA-DASLab
Model Type	mixtral
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.1 GB: 3-of-3
Quantization Type	2bit
Model Architecture	MixtralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Mixtral 8x7b AQLM 2Bit 1x16 Hf 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 Mixtral 8x7b AQLM 2Bit 1x16 Hf

Best Alternatives	Context / RAM	Downloads	Likes
...nstruct V0.1 AQLM 2Bit 1x16 Hf	32K / 13.1 GB	15	19
...QLM 2Bit 1x16 Hf Test Dispatch	32K / 13.1 GB	35	3
Mixtral Debug	32K / 0 GB	6	0
Mixtral Debug	32K / 0 GB	5	0
Taiwan LLM 8x7B DPO AWQ	32K / 24.7 GB	7	1
...Hermes 2 Mixtral 8x7B DPO GPTQ	32K / 24.7 GB	5	1
...x7B V0.1 OmniQuantv2 W4a16g128	32K / 24.7 GB	14	1
...uct V0.1 OmniQuantv1 W4a16g128	32K / 24.7 GB	12	1

Note: green Score (e.g. "73.2") means that the model is better than ISTA-DASLab/Mixtral-8x7b-AQLM-2Bit-1x16-hf.