What are the hardware requirements for Mellum 4B Base?

Mellum 4B Base requires approximately 8 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mellum 4B Base and how large is it?

Mellum 4B Base is developed by JetBrains, a model with 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 Mellum 4B Base?

Mellum 4B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mellum 4B Base by JetBrains — VRAM 8GB, 8K context

Name: Mellum 4B Base
Author: JetBrains

Mellum 4B Base is an open-source language model by JetBrains. Features: 4b LLM, VRAM: 8GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.23.

Code Dataset:bigcode/commitpack Dataset:bigcode/starcoderdata Dataset:bigcode/the-stack Dataset:bigcode/the-stack-v2 Deploy:azure Endpoints compatible Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/JetBrains/Mellum-4b-base

Mellum 4B Base Parameters and Internals

LLM Name	Mellum 4B Base
Repository 🤗	https://huggingface.co/JetBrains/Mellum-4b-base
Model Size	4b
Required VRAM	8 GB
Updated	2026-05-18
Maintainer	JetBrains
Model Type	llama
Model Files	5.0 GB: 1-of-2 3.0 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.51.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	98304
Torch Data Type	bfloat16
Errors	replace

Rank the Mellum 4B Base 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

Quantized Models of the Mellum 4B Base

Model	Likes	Downloads	VRAM
Mellum 4B Base 4bit	3	300	2 GB

Best Alternatives to Mellum 4B Base

Best Alternatives	Context / RAM	Downloads	Likes
4Bcpt	256K / 8.8 GB	5	0
HoldMy4BKTO	256K / 8.8 GB	5	0
Xgen Small 4B Instruct R	256K / 17.7 GB	54	4
Xgen Small 4B Base R	256K / 17.7 GB	30	3
SJT 4B	146K / 7.6 GB	7	0
...lama 3.1 Nemotron Nano 4B V1.1	128K / 9 GB	3940	116
Nemotron W 4b MagLight 0.1	128K / 9.2 GB	9	3
Loxa 4B	128K / 16 GB	8	0
Nemotron W 4b Halo 0.1	128K / 9.2 GB	22	3
Aura 4B	128K / 9 GB	41	14