What are the hardware requirements for Mistral Pretrained Test?

Mistral Pretrained Test requires approximately 0.3 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 Mistral Pretrained Test and how large is it?

Mistral Pretrained Test is developed by damienbenveniste, a model with 84.5m 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 Mistral Pretrained Test?

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

Mistral Pretrained Test by damienbenveniste — VRAM 0.3GB, 128K context

Name: Mistral Pretrained Test
Author: damienbenveniste

Mistral Pretrained Test is an open-source language model by damienbenveniste. Features: 84.5m LLM, VRAM: 0.3GB, Context: 128K, LLM Explorer Score: 0.19.

Autotrain compatible Endpoints compatible Generated from trainer Mistral Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/damienbenveniste/mistral-pretrained_test

Mistral Pretrained Test Parameters and Internals

LLM Name	Mistral Pretrained Test
Repository 🤗	https://huggingface.co/damienbenveniste/mistral-pretrained_test
Model Size	84.5m
Required VRAM	0.3 GB
Updated	2025-09-23
Maintainer	damienbenveniste
Model Type	mistral
Model Files	0.3 GB 0.0 GB
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.53.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Mistral Pretrained Test 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 Mistral Pretrained Test

Best Alternatives	Context / RAM	Downloads
Mistral Pretraining	0.5K / 0.3 GB	11
Mistral Supervised	0.5K / 0.3 GB	13
Mistral Pretraining	0.5K / 0.3 GB	13
Lab 2	0.5K / 0.3 GB	6
Mistral Pre Trained Model	0.5K / 0.3 GB	13
Mistral Pretraining	0.5K / 0.3 GB	5
Mistral Pretraining	0.5K / 0.3 GB	7
Mistral Pretraining	0.5K / 0.3 GB	10
Mistral Pretraining	0.5K / 0.3 GB	5
Mistral Pretraining	0.5K / 0.3 GB	5

Note: green Score (e.g. "73.2") means that the model is better than damienbenveniste/mistral-pretrained_test.