What are the hardware requirements for Stella En 1.5B V5?

Stella En 1.5B V5 requires approximately 6.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Stella En 1.5B V5 and how large is it?

Stella En 1.5B V5 is developed by dunzhang, 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 Stella En 1.5B V5?

Stella En 1.5B V5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Stella En 1.5B V5 by dunzhang — VRAM 6.2GB, 128K context

Name: Stella En 1.5B V5
Author: dunzhang

Stella En 1.5B V5 is an open-source language model by dunzhang. Features: 1.5b LLM, VRAM: 6.2GB, Context: 128K, License: mit, LLM Explorer Score: 0.19.

Arxiv:2205.13147 Arxiv:2412.19048 Custom code Endpoints compatible Model-index Mteb Onnx Pytorch Qwen2 Region:us Safetensors Sentence-similarity Sentence-transformers Text-embeddings-inference

Model Card on HF 🤗: https://huggingface.co/NovaSearch/stella_en_1.5B_v5

Stella En 1.5B V5 Parameters and Internals

LLM Name	Stella En 1.5B V5
Repository 🤗	https://huggingface.co/NovaSearch/stella_en_1.5B_v5
Model Size	1.5b
Required VRAM	6.2 GB
Updated	2026-08-06
Maintainer	dunzhang
Model Type	qwen2
Model Files	6.2 GB 6.2 GB
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.42.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151646
Torch Data Type	float32
Errors	replace

Rank the Stella En 1.5B V5 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 Stella En 1.5B V5

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	11	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
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
VibeThinker 1.5B	128K / 3.5 GB	3417	552
Merge Cord V1	128K / 3.1 GB	155	1
...FT Tulu3 Decontaminated Masked	128K / 3.1 GB	167	0
Qwen2 1.5B	128K / 3.1 GB	195380	102

Note: green Score (e.g. "73.2") means that the model is better than NovaSearch/stella_en_1.5B_v5.