What are the hardware requirements for BASE 1.5B?

BASE 1.5B requires approximately 3.1 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 BASE 1.5B and how large is it?

BASE 1.5B is developed by Stray2024, a model with 1.5b 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 BASE 1.5B?

BASE 1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BASE 1.5B by Stray2024 — VRAM 3.1GB, 32K context

Name: BASE 1.5B
Author: Stray2024

BASE 1.5B is an open-source language model by Stray2024. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.3.

Base Companion Conversational En Qwen2 Reasoning Region:us Ru Safetensors Sft Think Unsloth

Model Card on HF 🤗: https://huggingface.co/Stray2024/BASE-1.5B

BASE 1.5B Parameters and Internals

LLM Name	BASE 1.5B
Repository 🤗	https://huggingface.co/Stray2024/BASE-1.5B
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-10-31
Maintainer	Stray2024
Model Type	qwen2
Model Files	3.1 GB
Supported Languages	ru en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the BASE 1.5B 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 BASE 1.5B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	27	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
...rentGroupPairDivision 20261025	128K / 3.5 GB	153	1
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
... NoGoingBack Counting 20261025	128K / 3.5 GB	98	1
...mUnconflictedGridKMax 20261025	128K / 3.5 GB	89	1
...tAndZero PathCounting 20261025	128K / 3.5 GB	89	1
Qwen2.5 1.5B	128K / 3.1 GB	863295	203

Note: green Score (e.g. "73.2") means that the model is better than Stray2024/BASE-1.5B.