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Astral 4B Preview by LucidityAI

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Astral 4B Preview is an open-source language model by LucidityAI. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.21.

  Chat   Code   Conversational Dataset:nvidia/acereason-1.1-s...   Endpoints compatible   Inference   Qwen3   Reasoning   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LucidityAI/Astral-4B-Preview 

Astral 4B Preview Benchmarks

LLME Score: 0.21236
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Astral 4B Preview (LucidityAI/Astral-4B-Preview)
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Astral 4B Preview Parameters and Internals

LLM NameAstral 4B Preview
Repository 🤗https://huggingface.co/LucidityAI/Astral-4B-Preview 
Base Model(s)  Qwen/Qwen3-4b-thinking-2507   Qwen/Qwen3-4b-thinking-2507
Model Size4b
Required VRAM8.1 GB
Updated2026-04-15
MaintainerLucidityAI
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.52.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Astral 4B Preview

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 4B Thinking 2507256K / 8.1 GB1676918575
GRPO 4 70256K / 8.1 GB200
Qwen3 4B Instruct 2507256K / 8.1 GB1473674320
QED Nano256K / 8.1 GB681686
Lightning 4B256K / 8.1 GB136
Jan V1 4B256K / 8.1 GB108354353
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB71535873
Jan Code 4B256K / 8.9 GB48975
...en3.6 Plus Reasoning Distilled256K / 8.1 GB10873
AgentCPM Explore256K / 8.9 GB129328
Note: green Score (e.g. "73.2") means that the model is better than LucidityAI/Astral-4B-Preview.

Rank the Astral 4B Preview 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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