OpenAster1 128K Base by binichallein

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OpenAster1 128K Base is an open-source language model by binichallein. Features: 2b LLM, VRAM: 4.1GB, Context: 128K, License: mit, LLM Explorer Score: 0.27.

  Conversational   Endpoints compatible   Moe   Openaster1   Qwen3 moe   Region:us   Safetensors   Sharded   Tensorflow

OpenAster1 128K Base Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

OpenAster1 128K Base Parameters and Internals

LLM NameOpenAster1 128K Base
Repository 🤗https://huggingface.co/binichallein/OpenAster1-128k-base 
Model Size2b
Required VRAM4.1 GB
Updated2026-06-28
Maintainerbinichallein
Model Typeqwen3_moe
Model Files  2.0 GB: 1-of-3   2.0 GB: 2-of-3   0.1 GB: 3-of-3
Model ArchitectureQwen3MoeForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.57.6
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size248192
Errorsreplace

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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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Release v20260328a