What are the hardware requirements for Mellum 4B DPO All?

Mellum 4B DPO All 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 DPO All and how large is it?

Mellum 4B DPO All 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 DPO All?

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

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

Name: Mellum 4B DPO All
Author: JetBrains

Mellum 4B DPO All is an open-source language model by JetBrains. Features: 4b LLM, VRAM: 8GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.21.

Base model:finetune:jetbrains/... Base model:jetbrains/mellum-4b... Code Dataset:bigcode/commitpack Dataset:bigcode/starcoderdata Dataset:bigcode/the-stack Dataset:bigcode/the-stack-v2 Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

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

Mellum 4B DPO All Parameters and Internals

LLM Name	Mellum 4B DPO All
Repository 🤗	https://huggingface.co/JetBrains/Mellum-4b-dpo-all
Base Model(s)	Mellum 4B Sft All JetBrains/Mellum-4b-sft-all
Model Size	4b
Required VRAM	8 GB
Updated	2026-09-10
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	4.56.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	98304
Errors	replace

Rank the Mellum 4B DPO All capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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Note: green Score (e.g. "73.2") means that the model is better than JetBrains/Mellum-4b-dpo-all.