What are the hardware requirements for Tea?

Tea requires approximately 29.4 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tea and how large is it?

Tea is developed by artindnr, a model with 14.7b 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 Tea?

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

Tea by artindnr — VRAM 29.4GB, 16K context

Name: Tea
Author: artindnr

Tea is an open-source language model by artindnr. Features: 14.7b LLM, VRAM: 29.4GB, Context: 16K, License: mit.

Assistant Base model:finetune:microsoft/... Base model:microsoft/phi-4 Chat Conversational En Fa Finetuned Full-fine-tune Instruct Llama Multilingual Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/artindnr/tea

Tea Parameters and Internals

LLM Name	Tea
Repository 🤗	https://huggingface.co/artindnr/tea
Base Model(s)	Phi 4 microsoft/phi-4
Model Size	14.7b
Required VRAM	29.4 GB
Updated	2026-08-09
Maintainer	artindnr
Model Type	llama
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 4.6 GB: 6-of-6
Supported Languages	fa en
Model Architecture	LlamaForCausalLM
License	mit
Context Length	16384
Model Max Length	16384
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|dummy_87\|>
Vocabulary Size	100352
Torch Data Type	bfloat16

Rank the Tea 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 Tea

Best Alternatives	Context / RAM	Downloads	Likes
...kpoints 511 Onlytrainex Merged	31K / 29.4 GB	25	0
...ruct Extended 3500steps Merged	31K / 29.4 GB	71	0
E2 Phi4 Instruct NTK Scaled	31K / 29.4 GB	20	0
...ct NTK Scaled 1000steps Merged	31K / 29.4 GB	5	0
Phi 4	16K / 29.4 GB	1539	91
Luminis Phi 4	16K / 29.5 GB	1517	13
Phi 4 Sce Exp V0.1	16K / 29.5 GB	9	1
Phi 4 RR Shoup	16K / 29.5 GB	6	2
Phi 4 RStock V0.1	16K / 29.5 GB	8	0
Phi 4 Model Stock V4	16K / 29.5 GB	8	9

Note: green Score (e.g. "73.2") means that the model is better than artindnr/tea.