What are the hardware requirements for Dolphin 2.9.2 Phi 3 Medium?

Dolphin 2.9.2 Phi 3 Medium requires approximately 28 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dolphin 2.9.2 Phi 3 Medium and how large is it?

Dolphin 2.9.2 Phi 3 Medium is developed by dphn. 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 2.9.2 Phi 3 Medium?

Dolphin 2.9.2 Phi 3 Medium is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dolphin 2.9.2 Phi 3 Medium by dphn — VRAM 28GB, 4K context

Name: Dolphin 2.9.2 Phi 3 Medium
Author: dphn

Dolphin 2.9.2 Phi 3 Medium is an open-source language model by dphn. Features: LLM, VRAM: 28GB, Context: 4K, License: mit, Instruction-Based, LLM Explorer Score: 0.16.

Base model:finetune:unsloth/ph... Base model:unsloth/phi-3-mini-... Conversational Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:internlm/agent-flan Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/orca-math-wo... Dataset:teknium/openhermes-2.5 En Endpoints compatible Instruct Mistral Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/dphn/dolphin-2.9.2-Phi-3-Medium

Dolphin 2.9.2 Phi 3 Medium Parameters and Internals

LLM Name	Dolphin 2.9.2 Phi 3 Medium
Repository 🤗	https://huggingface.co/dphn/dolphin-2.9.2-Phi-3-Medium
Base Model(s)	Phi 3 Mini 4K Instruct unsloth/Phi-3-mini-4k-instruct
Required VRAM	28 GB
Updated	2026-07-29
Maintainer	dphn
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 3.2 GB: 6-of-6
Supported Languages	en
Model Architecture	MistralForCausalLM
License	mit
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.2
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Dolphin 2.9.2 Phi 3 Medium 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 2.9.2 Phi 3 Medium

Best Alternatives	Context / RAM	Downloads	Likes
Krutrim 2 Instruct	1000K / 49.3 GB	866	38
Mistral Instruct SCQA	32K / 5 GB	8	0
Dolphin 2.9.2 Phi 3 Medium	4K / 28 GB	9292	24
Lora Phi3 Mini	4K / 5 GB	7	0
...eZephir Sft Instruct Ead 16bit	32K / 14.4 GB	56	0
... Instruct Unsloth Merged 16bit	4K / 7.6 GB	6	1
... Mini 4K Instruct Bnb 4bit Ita	4K / 7.6 GB	1181	0
... Mini 4K Instruct Bnb 4bit Ita	4K / 7.6 GB	1527	0
...ini New Model With Lora Merged	4K / 7.6 GB	16	0
Phired	4K / 7.6 GB	12	0

Note: green Score (e.g. "73.2") means that the model is better than dphn/dolphin-2.9.2-Phi-3-Medium.