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ReMask 3B by euclaise

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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 Benchmarks

ARC: 43.77 vs 96.7 (so35)-54.7%
HellaSwag: 75.7 vs 95.3 (gpt4)-20.6%
MMLU: 41.82 vs 88.3 (so35)-52.6%
GSM8K: 27.14 vs 96.4 (so35)-71.8%
LLME Score: 0.17406
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ReMask 3B (euclaise/ReMask-3B)
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ReMask 3B Parameters and Internals

Training Details 
Data Sources:
euclaise/TinyCoT, euclaise/reddit-instruct-curated, sablo/oasst2_curated
LLM NameReMask 3B
Repository 🤗https://huggingface.co/euclaise/ReMask-3B 
Model Size3b
Required VRAM11.2 GB
Updated2026-05-10
Maintainereuclaise
Model Typestablelm
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   1.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureStableLmForCausalLM
Licensecc-by-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.39.2
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typefloat32

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...struct 3B Spider 1500 Steps Q416K / 1.7 GB830
Stable Code Instruct 3B AWQ16K / 1.8 GB60
Note: green Score (e.g. "73.2") means that the model is better than euclaise/ReMask-3B.

Rank the ReMask 3B 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  

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