What are the hardware requirements for Bert Medium?

Bert Medium requires approximately 0.2 GB of VRAM and supports a context window of 0.5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Bert Medium and how large is it?

Bert Medium is developed by prajjwal1. 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 Bert Medium?

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

Bert Medium by prajjwal1 — VRAM 0.2GB, 0.5K context

Name: Bert Medium
Author: prajjwal1

Bert Medium is an open-source language model by prajjwal1. Features: LLM, VRAM: 0.2GB, Context: 0.5K, License: mit, LLM Explorer Score: 0.08.

Arxiv:1908.08962 Arxiv:2110.01518 Bert En Endpoints compatible Mnli Nli Pre-training Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/prajjwal1/bert-medium

Bert Medium Parameters and Internals

Model Type

transformer, pre-training, NLI

Use Cases

Areas:

Natural Language Inference (NLI), Pre-training

Primary Use Cases:

Trained on downstream tasks

Additional Notes

The model is one of the smaller pre-trained BERT variants, recommended to be trained on downstream tasks.

Supported Languages

English (unknown)

Training Details

Methodology:

Pytorch pre-trained model converted from Tensorflow checkpoint

Model Architecture:

L=8, H=512

LLM Name	Bert Medium
Repository 🤗	https://huggingface.co/prajjwal1/bert-medium
Required VRAM	0.2 GB
Updated	2026-08-07
Maintainer	prajjwal1
Model Files	0.2 GB
Supported Languages	en
Model Architecture	AutoModel
License	mit
Context Length	512
Model Max Length	512
Vocabulary Size	30522

Rank the Bert Medium 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 Bert Medium

Best Alternatives	Context / RAM	Downloads	Likes
Distil Longformer Base 4096	4K / 0.4 GB	6	0
Daedalus 1	1K / GB	9	1
Opengpt2 Pytorch Backward	1K / 6 GB	325	1
Tiny Random Detr	1K / 0.2 GB	15	0
Opengpt2 Pytorch Forward	1K / 6 GB	2	1
Finsent Transformer	0.5K / 0.4 GB	1	1
Bert Chinese L 12 H 768 A 12	0.5K / 0.4 GB	9	1
Simbert Chinese Base	0.5K / 0.4 GB	11	0
Simbert Chinese Tiny	0.5K / 0 GB	9	0
Bert Tiny	0.5K / 0 GB	1360936	147

Note: green Score (e.g. "73.2") means that the model is better than prajjwal1/bert-medium.