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E3 1.7B by CMU-AIRe

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E3 1.7B is an open-source language model by CMU-AIRe. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: mit, LLM Explorer Score: 0.22, ELO: 272.

  Dataset:cmu-aire/e3-math-easy Dataset:cmu-aire/e3-math-medha... Dataset:cmu-aire/hmmt-aime-202...   Qwen3   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/CMU-AIRe/e3-1.7B 

E3 1.7B Benchmarks

LMSys ELO: 272 vs 1272 (so35)-78.6%
LLME Score: 0.22453
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
E3 1.7B (CMU-AIRe/e3-1.7B)
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E3 1.7B Parameters and Internals

LLM NameE3 1.7B
Repository 🤗https://huggingface.co/CMU-AIRe/e3-1.7B 
Model Size1.7b
Required VRAM3.4 GB
Updated2026-04-28
MaintainerCMU-AIRe
Model Typeqwen3
Model Files  3.4 GB
Model ArchitectureQwen3ForCausalLM
Licensemit
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...up Qwen3 1.7B Datav3 Only Mask40K / 4.1 GB20810
Personal Finance R240K / 3.4 GB6751
BioGenesis ToT40K / 3.4 GB2451
Med O1 1.7B40K / 3.4 GB1751
Qwen3 1.7B40K / 3.4 GB8572010
...3 1.7B Instruction Noreasoning40K / 3.4 GB4338612
Note: green Score (e.g. "73.2") means that the model is better than CMU-AIRe/e3-1.7B.

Rank the E3 1.7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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