What are the hardware requirements for VST LM Versatile 1.5B?

VST LM Versatile 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 VST LM Versatile 1.5B and how large is it?

VST LM Versatile 1.5B is developed by tarunnokwal, 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 VST LM Versatile 1.5B?

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

VST LM Versatile 1.5B by tarunnokwal — VRAM 3.1GB, 32K context

Name: VST LM Versatile 1.5B
Author: tarunnokwal

VST LM Versatile 1.5B is an open-source language model by tarunnokwal. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K.

Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/tarunnokwal/VST-LM_Versatile-1.5B

VST LM Versatile 1.5B Parameters and Internals

LLM Name	VST LM Versatile 1.5B
Repository 🤗	https://huggingface.co/tarunnokwal/VST-LM_Versatile-1.5B
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-08-17
Maintainer	tarunnokwal
Model Type	qwen2
Model Files	3.1 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the VST LM Versatile 1.5B capabilities

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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

Best Alternatives to VST LM Versatile 1.5B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	18	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
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
Merge Cord V1	128K / 3.1 GB	155	1
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
VibeThinker 1.5B	128K / 3.5 GB	3417	552
...FT Tulu3 Decontaminated Masked	128K / 3.1 GB	167	0
Seq Monkey Pretrain Base 1.5B	128K / 3.5 GB	37	0

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