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

Dolphin 2.9.2 Phi 3 Medium Abliterated 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 Abliterated and how large is it?

Dolphin 2.9.2 Phi 3 Medium Abliterated is developed by dphn, a model with 14b 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 2.9.2 Phi 3 Medium Abliterated?

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

Name: Dolphin 2.9.2 Phi 3 Medium Abliterated
Author: dphn

Dolphin 2.9.2 Phi 3 Medium Abliterated is an open-source language model by dphn. Features: 14b 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 Region:us Safetensors Sharded Tensorflow

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

Dolphin 2.9.2 Phi 3 Medium Abliterated Parameters and Internals

LLM Name	Dolphin 2.9.2 Phi 3 Medium Abliterated
Repository 🤗	https://huggingface.co/dphn/dolphin-2.9.2-Phi-3-Medium-abliterated
Base Model(s)	Phi 3 Mini 4K Instruct unsloth/Phi-3-mini-4k-instruct
Model Size	14b
Required VRAM	28 GB
Updated	2026-08-01
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	4.40.1
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Dolphin 2.9.2 Phi 3 Medium Abliterated 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 Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 14B Merge V1	1000K / 24.6 GB	19	0
Phi 3 Medium 4K Instruct	4K / 28 GB	38	28
...2.9.2 Phi 3 Medium Abliterated	4K / 28 GB	9259	19
Phi 3 Medium Llamaish	4K / 28 GB	17	0
Phi3 Translator Merged3	4K / 55 GB	6	0
Arsh V1	4K / 28 GB	1123	1
...ll Phi 3 Medium 4K Inst Philos	4K / 28 GB	7	0
...antha2.0 Phi3 Medium Ita 16bit	4K / 28 GB	2604	0
Phi 3 Unsloth Finetune 7	4K / 28 GB	7	0
Phi 3 Unsloth Finetune 6	4K / 28 GB	8	0

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