What are the hardware requirements for Mai3.1finetuned1?

Mai3.1finetuned1 requires approximately 141.9 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mai3.1finetuned1 and how large is it?

Mai3.1finetuned1 is developed by YellowDotGroup, a model with 70b 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 Mai3.1finetuned1?

Mai3.1finetuned1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mai3.1finetuned1 by YellowDotGroup — VRAM 141.9GB, 128K context

Name: Mai3.1finetuned1
Author: YellowDotGroup

Mai3.1finetuned1 is an open-source language model by YellowDotGroup. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, LLM Explorer Score: 0.16.

Arxiv:1910.09700 Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/YellowDotGroup/mai3.1finetuned1

Mai3.1finetuned1 Parameters and Internals

LLM Name	Mai3.1finetuned1
Repository 🤗	https://huggingface.co/YellowDotGroup/mai3.1finetuned1
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-07-05
Maintainer	YellowDotGroup
Model Type	llama
Model Files	4.6 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.1 GB: 30-of-30
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|im_end\|>
Vocabulary Size	128256
Torch Data Type	float16

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Instruction Following and Task Automation
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