What are the hardware requirements for Basal 1.0 4.5B?

Basal 1.0 4.5B requires approximately 9.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Basal 1.0 4.5B and how large is it?

Basal 1.0 4.5B is developed by Remek, a model with 4.5b 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 Basal 1.0 4.5B?

Basal 1.0 4.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Basal 1.0 4.5B by Remek — VRAM 9.5GB, 32K context

Name: Basal 1.0 4.5B
Author: Remek

Basal 1.0 4.5B is an open-source language model by Remek. Features: 4.5b LLM, VRAM: 9.5GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.35.

Base model:finetune:speakleash... Base model:speakleash/bielik-4... Calibration Classification Conversational Decision-making En Endpoints compatible Instruct Llama Pl Polish Region:us Safetensors Typed-decisions

Model Card on HF 🤗: https://huggingface.co/Remek/basal-1.0-4.5B

Basal 1.0 4.5B Parameters and Internals

LLM Name	Basal 1.0 4.5B
Repository 🤗	https://huggingface.co/Remek/basal-1.0-4.5B
Base Model(s)	speakleash/Bielik-4.5B-v3.0-Instruct speakleash/Bielik-4.5B-v3.0-Instruct
Model Size	4.5b
Required VRAM	9.5 GB
Updated	2026-10-03
Maintainer	Remek
Model Type	llama
Instruction-Based	Yes
Model Files	9.5 GB
Supported Languages	pl en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.17.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000

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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

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