What are the hardware requirements for Phi 2 Voicechange?

Phi 2 Voicechange requires approximately 2.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 2 Voicechange and how large is it?

Phi 2 Voicechange is developed by athmikha, a model with 1.6b 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 Phi 2 Voicechange?

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

Phi 2 Voicechange by athmikha — VRAM 2.5GB, 2K context

Name: Phi 2 Voicechange
Author: athmikha

Phi 2 Voicechange is an open-source language model by athmikha. Features: 1.6b LLM, VRAM: 2.5GB, Context: 2K, LLM Explorer Score: 0.12.

Arxiv:1910.09700 8-bit Bitsandbytes Endpoints compatible Phi Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/athmikha/phi-2-voicechange

Phi 2 Voicechange Parameters and Internals

LLM Name	Phi 2 Voicechange
Repository 🤗	https://huggingface.co/athmikha/phi-2-voicechange
Model Size	1.6b
Required VRAM	2.5 GB
Updated	2026-08-07
Maintainer	athmikha
Model Type	phi
Model Files	2.5 GB
Model Architecture	PhiForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.41.0
Tokenizer Class	CodeGenTokenizer
Vocabulary Size	51200
Torch Data Type	float32

Rank the Phi 2 Voicechange 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 Phi 2 Voicechange

Best Alternatives	Context / RAM	Downloads
Qlora4b Phi	2K / 2.5 GB	14
Qlora4b DPO	2K / 2.5 GB	13
...reamtobenlpsama Mcqa Quantized	2K / 1.8 GB	6
Test Model	2K / 2.8 GB	0
...hin 2 6 Phi 2 Bnb 4bit Smashed	0K / 1.9 GB	6

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