What are the hardware requirements for Dolphin 2 6 Phi 2 GGUF?

Dolphin 2 6 Phi 2 GGUF requires approximately 1.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dolphin 2 6 Phi 2 GGUF and how large is it?

Dolphin 2 6 Phi 2 GGUF is developed by TheBloke. 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 6 Phi 2 GGUF?

Dolphin 2 6 Phi 2 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dolphin 2 6 Phi 2 GGUF by TheBloke — VRAM 1.2GB

Name: Dolphin 2 6 Phi 2 GGUF
Rating: 3 (1 reviews)
Author: TheBloke

Dolphin 2 6 Phi 2 GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 1.2GB, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Base model:dphn/dolphin-2 6-ph... 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/capybara Dataset:teknium/openhermes En Gguf Instruct Phi-msft Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/dolphin-2_6-phi-2-GGUF

Dolphin 2 6 Phi 2 GGUF Parameters and Internals

LLM Name	Dolphin 2 6 Phi 2 GGUF
Repository 🤗	https://huggingface.co/TheBloke/dolphin-2_6-phi-2-GGUF
Model Name	Dolphin 2.6 Phi 2
Model Creator	Cognitive Computations
Base Model(s)	Dolphin 2 6 Phi 2 cognitivecomputations/dolphin-2_6-phi-2
Required VRAM	1.2 GB
Updated	2026-08-03
Maintainer	TheBloke
Model Type	phi-msft
Instruction-Based	Yes
Model Files	1.2 GB 1.6 GB 1.5 GB 1.2 GB 1.6 GB 1.8 GB 1.6 GB 1.9 GB 2.1 GB 1.9 GB 2.3 GB 3.0 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	other

Rank the Dolphin 2 6 Phi 2 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 6 Phi 2 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
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	32	0
...3 Mini 4k OLScience 4bitQ Gguf	0K / 2.3 GB	26	0
Dictalm2.0 Instruct GGUF	0K / 4.4 GB	664	7
Dre Phi Gguf	0K / 2.3 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/dolphin-2_6-phi-2-GGUF.