What are the hardware requirements for Vinci MLE 8B 1.0?

Vinci MLE 8B 1.0 requires approximately 17.6 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 Vinci MLE 8B 1.0 and how large is it?

Vinci MLE 8B 1.0 is developed by simpledirect, a model with 8b 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 Vinci MLE 8B 1.0?

Vinci MLE 8B 1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vinci MLE 8B 1.0 by simpledirect — VRAM 17.6GB, 128K context

Name: Vinci MLE 8B 1.0
Author: simpledirect

Vinci MLE 8B 1.0 is an open-source language model by simpledirect. Features: 8b LLM, VRAM: 17.6GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:finetune:ibm-granit... Base model:ibm-granite/granite... Canadian-ai Conversational Endpoints compatible Granite Lora Machine-learning-engineering Region:us Research Safetensors Sharded Simpledirect Tensorflow Tool-use Vinci

Model Card on HF 🤗: https://huggingface.co/simpledirect/Vinci-MLE-8B-1.0

Vinci MLE 8B 1.0 Parameters and Internals

LLM Name	Vinci MLE 8B 1.0
Repository 🤗	https://huggingface.co/simpledirect/Vinci-MLE-8B-1.0
Base Model(s)	ibm-granite/granite-4.1-8b ibm-granite/granite-4.1-8b
Model Size	8b
Required VRAM	17.6 GB
Updated	2026-09-30
Maintainer	simpledirect
Model Type	granite
Model Files	4.8 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 2.8 GB: 4-of-4
Model Architecture	GraniteForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.53.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|pad\|>
Vocabulary Size	100352
Torch Data Type	bfloat16

Rank the Vinci MLE 8B 1.0 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 Vinci MLE 8B 1.0

Best Alternatives	Context / RAM	Downloads	Likes
Granite 4.1 8B	128K / 17.6 GB	21803	161
Granite 3.1 8B Instruct	128K / 16.4 GB	138888	168
Granite 4.2 8B	128K / 17.6 GB	1628	30
Granite 4.1 8B Base	128K / 16.8 GB	11348	25
Granite Guardian 4.1 8B	128K / 16.8 GB	35637	33
Granite 3.1 8B Reasoning	128K / 16.4 GB	5	1
Granite 3.1 8B Instruct	128K / 16.4 GB	185	1
Granite 4.2 8B Fp8	128K / 9.7 GB	2092	1
Granite 3.2 8B Instruct	128K / 16.4 GB	3792	92
Granite 4.2 8B Heretic	128K / 17.6 GB	359	1

Note: green Score (e.g. "73.2") means that the model is better than simpledirect/Vinci-MLE-8B-1.0.