What are the hardware requirements for Tamtanai?

Tamtanai requires approximately 14.8 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tamtanai and how large is it?

Tamtanai is developed by Bhuribhat, a model with 7.4b 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 Tamtanai?

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

Tamtanai by Bhuribhat — VRAM 14.8GB, 32K context

Name: Tamtanai
Author: Bhuribhat

Tamtanai is an open-source language model by Bhuribhat. Features: 7.4b LLM, VRAM: 14.8GB, Context: 32K, License: mit, LLM Explorer Score: 0.13.

Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Bhuribhat/Tamtanai

Tamtanai Parameters and Internals

LLM Name	Tamtanai
Repository 🤗	https://huggingface.co/Bhuribhat/Tamtanai
Model Size	7.4b
Required VRAM	14.8 GB
Updated	2026-08-25
Maintainer	Bhuribhat
Model Type	mistral
Model Files	5.0 GB: 1-of-3 4.9 GB: 2-of-3 4.9 GB: 3-of-3
Model Architecture	MistralForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	48384
Torch Data Type	float16

Rank the Tamtanai 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 Tamtanai

Best Alternatives	Context / RAM	Downloads	Likes
Mistral Ko Inst Dev	32K / 14.8 GB	8	4
... Phi 3 Medium Bnb 4bit Smashed	4K / 8.4 GB	5	0

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