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Nautilus Preview by Loke-60000

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Nautilus Preview is an open-source language model by Loke-60000. Features: 0.8b LLM, VRAM: 1.5GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:adapter:qwen/qwen3....   Base model:qwen/qwen3.5-0.8b   Conversational   En   Lora   Qwen3 5 text   Region:us   Safetensors   Shell   Snail
Model Card on HF 🤗: https://huggingface.co/Loke-60000/nautilus-preview 

Nautilus Preview Benchmarks

LLME Score: 0.28294
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nautilus Preview (Loke-60000/nautilus-preview)

Nautilus Preview Parameters and Internals

LLM NameNautilus Preview
Repository 🤗https://huggingface.co/Loke-60000/nautilus-preview 
Base Model(s)  Qwen/Qwen3.5-0.8B   Qwen/Qwen3.5-0.8B
Model Size0.8b
Required VRAM1.5 GB
Updated2026-07-27
MaintainerLoke-60000
Model Typeqwen3_5_text
Model Files  1.5 GB
Supported Languagesen
Model ArchitectureQwen3_5ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.12.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

Best Alternatives to Nautilus Preview

Best Alternatives
Context / RAM
Downloads
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St4 Annealing Sft256K / 1.5 GB5260
St4 Generic Sft256K / 1.5 GB3860
St5 Generic Sft256K / 1.5 GB3040
St3 Response Sft256K / 1.5 GB1090
Qwen3.5 0.8B Text Only256K / 1.5 GB2248
Qwenite3.5 0.8B256K / 1.5 GB360
...wen3.5 0.8B TW CivicAligned V1256K / 1.5 GB101
...aling Sft Fixed Tokenization 2256K / 1.5 GB380
Qwen3.5 Text 0.8B Bnb 4bit256K / 0.8 GB920

Rank the Nautilus 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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