What are the hardware requirements for Dolphin 2.5 Mixtral 8x7b GGUF?

Dolphin 2.5 Mixtral 8x7b GGUF requires approximately 17.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dolphin 2.5 Mixtral 8x7b GGUF and how large is it?

Dolphin 2.5 Mixtral 8x7b GGUF is developed by MaziyarPanahi. 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 Dolphin 2.5 Mixtral 8x7b GGUF?

Dolphin 2.5 Mixtral 8x7b GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dolphin 2.5 Mixtral 8x7b GGUF by MaziyarPanahi — VRAM 17.3GB

Name: Dolphin 2.5 Mixtral 8x7b GGUF
Author: MaziyarPanahi

Dolphin 2.5 Mixtral 8x7b GGUF is an open-source language model by MaziyarPanahi. Features: LLM, VRAM: 17.3GB, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:dphn/dolphin-2.5-mi... Base model:quantized:dphn/dolp... Conversational Dataset:ehartford/dolphin Dataset:ehartford/dolphin-code... Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss... Dataset:jondurbin/airoboros-2.... Dataset:ldjnr/pure-dove Dataset:migtissera/synthia-v1.... Dataset:teknium/openhermes En Endpoints compatible Gguf Has space Instruct Mistral Mixtral Moe Pytorch Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/dolphin-2.5-mixtral-8x7b-GGUF

Dolphin 2.5 Mixtral 8x7b GGUF Parameters and Internals

Model Type

text-generation, quantized

LLM Name	Dolphin 2.5 Mixtral 8x7b GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/dolphin-2.5-mixtral-8x7b-GGUF
Model Name	dolphin-2.5-mixtral-8x7b-GGUF
Model Creator	cognitivecomputations
Base Model(s)	cognitivecomputations/dolphin-2.5-mixtral-8x7b cognitivecomputations/dolphin-2.5-mixtral-8x7b
Required VRAM	17.3 GB
Updated	2026-06-15
Maintainer	MaziyarPanahi
Model Type	mistral
Instruction-Based	Yes
Model Files	17.3 GB 24.2 GB 22.5 GB 20.4 GB 28.4 GB 26.7 GB 33.2 GB 32.2 GB 38.4 GB 49.6 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Dolphin 2.5 Mixtral 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 Dolphin 2.5 Mixtral 8x7b GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176
Phi 3 Mini 4K Instruct GGUF	0K / 1.4 GB	1429	17
Dolphin 2 6 Phi 2 GGUF	0K / 1.2 GB	5273	75
Spydaz Web AI	0K / 4.4 GB	154	3
Autocomplete Model	0K / 4.1 GB	66	0
Phi 3 Mini 4K Instruct	0K / 2.3 GB	41	0
...3 Mini 4k OLScience 4bitQ Gguf	0K / 2.3 GB	26	0
Dictalm2.0 Instruct GGUF	0K / 4.4 GB	664	7

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/dolphin-2.5-mixtral-8x7b-GGUF.