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

Dolphin 2 6 Phi 2 requires approximately 5.6 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 and how large is it?

Dolphin 2 6 Phi 2 is developed by cognitivecomputations, a model with 2.8b 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 Dolphin 2 6 Phi 2?

Dolphin 2 6 Phi 2 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 by cognitivecomputations — VRAM 5.6GB

Name: Dolphin 2 6 Phi 2
Author: cognitivecomputations

Dolphin 2 6 Phi 2 is an open-source language model by cognitivecomputations. Features: 2.8b LLM, VRAM: 5.6GB, License: mit, Instruction-Based, LLM Explorer Score: 0.12.

Conversational Custom code 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 Endpoints compatible Instruct Phi-msft Pytorch Region:us Safetensors Sharded Tensorflow

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

Dolphin 2 6 Phi 2 Parameters and Internals

LLM Name	Dolphin 2 6 Phi 2
Repository 🤗	https://huggingface.co/dphn/dolphin-2_6-phi-2
Model Size	2.8b
Required VRAM	5.6 GB
Updated	2026-08-08
Maintainer	cognitivecomputations
Model Type	phi-msft
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 0.6 GB: 2-of-2 5.0 GB: 1-of-2 0.6 GB: 2-of-2
Supported Languages	en
Model Architecture	PhiForCausalLM
License	mit
Model Max Length	2048
Transformers Version	4.37.0.dev0
Tokenizer Class	CodeGenTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	51200
Torch Data Type	float16
Activation Function	gelu_new

Rank the Dolphin 2 6 Phi 2 capabilities

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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

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Phi 2 Instruct Apo	2K / 5.6 GB	8	0
Phi 2 Instruct V0.1	2K / 5.6 GB	8	2
EEVE Korean Instruct 2.8B V1.0	2K / 5.7 GB	2035	28
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... Instruct 2.8B V1.0 20240430 2	2K / 2.9 GB	7	0
YanoljaNEXT EEVE Instruct 2.8B	2K / 5.7 GB	63	30
Phi 2 Code Instruct	2K / 5.6 GB	7	4
Dolphin 2 6 Phi 2	0K / 5.6 GB	1160	192

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