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

Mixtral 8x7b AQLM 2Bit 1x16 Hf Test Dispatch 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 Test Dispatch and how large is it?

Mixtral 8x7b AQLM 2Bit 1x16 Hf Test Dispatch is developed by BlackSamorez, 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 Test Dispatch?

Mixtral 8x7b AQLM 2Bit 1x16 Hf Test Dispatch 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 Test Dispatch by BlackSamorez — VRAM 13.1GB, 32K context

Name: Mixtral 8x7b AQLM 2Bit 1x16 Hf Test Dispatch
Author: BlackSamorez

Mixtral 8x7b AQLM 2Bit 1x16 Hf Test Dispatch is an open-source language model by BlackSamorez. Features: 6.5b LLM, VRAM: 13.1GB, Context: 32K, MoE, Quantized, LLM Explorer Score: 0.12.

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

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

Mixtral 8x7b AQLM 2Bit 1x16 Hf Test Dispatch Benchmarks

LLME Score: 0.11671

^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)

Mixtral 8x7b AQLM 2Bit 1x16 Hf Test Dispatch (BlackSamorez/Mixtral-8x7b-AQLM-2Bit-1x16-hf-test-dispatch)

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

Additional Notes

WARNING: this checkpoint might be obsolete.

LLM Name	Mixtral 8x7b AQLM 2Bit 1x16 Hf Test Dispatch
Repository 🤗	https://huggingface.co/BlackSamorez/Mixtral-8x7b-AQLM-2Bit-1x16-hf-test-dispatch
Model Size	6.5b
Required VRAM	13.1 GB
Updated	2026-05-15
Maintainer	BlackSamorez
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.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Best Alternatives to Mixtral 8x7b AQLM 2Bit 1x16 Hf Test Dispatch

Best Alternatives	Context / RAM	Downloads	Likes
...nstruct V0.1 AQLM 2Bit 1x16 Hf	32K / 13.1 GB	17	19
Mixtral 8x7b AQLM 2Bit 1x16 Hf	32K / 13.1 GB	82	23
Mixtral Debug	32K / 0 GB	14	0
Mixtral Debug	32K / 0 GB	6	0
...kaLM Mixtral 8x7B V0.2 DPO AWQ	32K / 24.7 GB	6	0
Taiwan LLM 8x7B DPO AWQ	32K / 24.7 GB	7	1
...Hermes 2 Mixtral 8x7B DPO GPTQ	32K / 24.7 GB	12	1
...x7B V0.1 OmniQuantv2 W4a16g128	32K / 24.7 GB	7	1
...uct V0.1 OmniQuantv1 W4a16g128	32K / 24.7 GB	5	1

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

Rank the Mixtral 8x7b AQLM 2Bit 1x16 Hf Test Dispatch Capabilities

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Release v20260328a

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Mixtral 8x7b AQLM 2Bit 1x16 Hf Test Dispatch by BlackSamorez

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Mixtral 8x7b AQLM 2Bit 1x16 Hf Test Dispatch Benchmarks

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

Best Alternatives to Mixtral 8x7b AQLM 2Bit 1x16 Hf Test Dispatch

Rank the Mixtral 8x7b AQLM 2Bit 1x16 Hf Test Dispatch Capabilities

What open-source LLMs or SLMs are you in search of? 53858 in total.