What are the hardware requirements for ReMask 3B?

ReMask 3B requires approximately 11.2 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ReMask 3B and how large is it?

ReMask 3B is developed by euclaise, a model with 3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does ReMask 3B perform on standard benchmarks?

ReMask 3B has the following published scores: MMLU 41.82. Compare against reference models on this page or on the LLM Explorer leaderboards.

ReMask 3B by euclaise — VRAM 11.2GB, 4K context

Name: ReMask 3B
Author: euclaise

ReMask 3B is an open-source language model by euclaise. Features: 3b LLM, VRAM: 11.2GB, Context: 4K, License: cc-by-sa-4.0, Instruction-Based, LLM Explorer Score: 0.17, Arc: 43.8, HellaSwag: 75.7, MMLU: 41.8, GSM8K: 27.1.

Arxiv:2401.01335 Arxiv:2403.02178 Conversational Dataset:euclaise/reddit-instru... Dataset:euclaise/tinycot Dataset:sablo/oasst2 curated En Endpoints compatible Instruct Region:us Safetensors Sharded Stablelm Tensorflow

Model Card on HF 🤗: https://huggingface.co/euclaise/ReMask-3B

ReMask 3B Parameters and Internals

Training Details

Data Sources:

euclaise/TinyCoT, euclaise/reddit-instruct-curated, sablo/oasst2_curated

LLM Name	ReMask 3B
Repository 🤗	https://huggingface.co/euclaise/ReMask-3B
Model Size	3b
Required VRAM	11.2 GB
Updated	2026-07-23
Maintainer	euclaise
Model Type	stablelm
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 1.2 GB: 3-of-3
Supported Languages	en
Model Architecture	StableLmForCausalLM
License	cc-by-sa-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.39.2
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50304
Torch Data Type	float32

Rank the ReMask 3B 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 ReMask 3B

Best Alternatives	Context / RAM	Downloads	Likes
...t 3B Mix Spider Bird 200 Steps	16K / 5.6 GB	9	0
... Instruct 3B Spider 3500 Steps	16K / 11.2 GB	5	0
Stablelm Zephyr 3B	4K / 5.6 GB	25834	261
Stable Code Instruct 3B 4bit	16K / 1.8 GB	52	5
Stable Cypher Instruct 3B	16K / 1.7 GB	864	34
Stable Code Instruct 3B	16K / 5.6 GB	2134	189
Stable Cypher Instruct 3B	16K / 1.7 GB	263	26
...struct 3B Spider 1500 Steps Q4	16K / 1.7 GB	36	0
Stable Code Instruct 3B AWQ	16K / 1.8 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than euclaise/ReMask-3B.