What are the hardware requirements for Cerebrum 1.0 8x7b GGUF?

Cerebrum 1.0 8x7b GGUF requires approximately 17.3 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 Cerebrum 1.0 8x7b GGUF and how large is it?

Cerebrum 1.0 8x7b GGUF is developed by qwp4w3hyb. 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 Cerebrum 1.0 8x7b GGUF?

Cerebrum 1.0 8x7b GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cerebrum 1.0 8x7b GGUF by qwp4w3hyb — VRAM 17.3GB, 32K context

Name: Cerebrum 1.0 8x7b GGUF
Author: qwp4w3hyb

Cerebrum 1.0 8x7b GGUF is an open-source language model by qwp4w3hyb. Features: LLM, VRAM: 17.3GB, Context: 32K, License: apache-2.0, MoE, Quantized, Fine-Tuned, LLM Explorer Score: 0.11.

Conversational Endpoints compatible Finetuned Gguf Mixtral Moe Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/qwp4w3hyb/Cerebrum-1.0-8x7b-GGUF

Cerebrum 1.0 8x7b GGUF Parameters and Internals

Model Type

mixtral, conversational, finetune

Additional Notes

Model has been quantized using llama.cpp.

LLM Name	Cerebrum 1.0 8x7b GGUF
Repository 🤗	https://huggingface.co/qwp4w3hyb/Cerebrum-1.0-8x7b-GGUF
Required VRAM	17.3 GB
Updated	2026-08-08
Maintainer	qwp4w3hyb
Model Type	mixtral
Model Files	17.3 GB 22.5 GB 28.4 GB 32.2 GB 38.4 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.39.0.dev0
Vocabulary Size	32000
Torch Data Type	float16

Rank the Cerebrum 1.0 8x7b GGUF 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 Cerebrum 1.0 8x7b GGUF

Best Alternatives	Context / RAM	Downloads	Likes
WizardLM2 2bit	64K / 4.8 GB	155	0
NebulaNet V2 4x7B MoE	32K / 8.8 GB	131	4
Dolphin 2.7 Mixtral 8x7b GGUF	32K / 15.6 GB	1162	5
...Hermes 2 Mixtral 8x7B SFT GGUF	32K / 17.3 GB	788	4
...ixtral 8x7B Instruct V0.1 GGUF	32K / 17.3 GB	507	5
...Hermes 2 Mixtral 8x7B DPO GGUF	32K / 17.3 GB	277	2
...oE V0.1 DPO F16 4.0bpw H6 EXL2	195K / 31.3 GB	7	0
...oE V0.1 DPO F16 5.0bpw H6 EXL2	195K / 38.8 GB	6	0
...2 Mixtral 8x22b 6.0bpw H8 EXL2	64K / 105.8 GB	2	1
WizardLM 2 8x22 EXL2 4.0bpw	64K / 70.9 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than qwp4w3hyb/Cerebrum-1.0-8x7b-GGUF.