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Shuttle 3.5 by shuttleai

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Shuttle 3.5 is an open-source language model by shuttleai. Features: 32.8b LLM, VRAM: 65.8GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.19.

  Chat   Conversational   En   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/shuttleai/shuttle-3.5 

Shuttle 3.5 Benchmarks

LLME Score: 0.19491
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Shuttle 3.5 (shuttleai/shuttle-3.5)
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Shuttle 3.5 Parameters and Internals

LLM NameShuttle 3.5
Repository 🤗https://huggingface.co/shuttleai/shuttle-3.5 
Model Size32.8b
Required VRAM65.8 GB
Updated2026-04-24
Maintainershuttleai
Model Typeqwen3
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Shuttle 3.5

Best Alternatives
Context / RAM
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KAT Dev128K / 65.8 GB3878212
...n6HsLp7BhQnSv4XQK4Bys5x8StV1mB40K / 65.8 GB5100
...vXpbGfnooeuWfr3VueaZrrfWJSou7y40K / 65.3 GB5620
...H5WNQYVTY7SSCbxU3kxqhNybtJeNGb40K / 65.8 GB3070
...iW6ywTszxd6dKqFoPtKdLQzMkT1kCf40K / 65.3 GB3720
...YCm3AvdiA7dPA34nvB5HwSubVoFREm40K / 65.7 GB4900
...bRv2FFhnaNPERRLdvEH8SdwLiahUh840K / 65.8 GB2440
...3uLgTv9xEDiKq2Qx2FVdkuNShfXkwk40K / 65.7 GB4230
...H4UorbqHDe3PFAPvEfJyDwNkimoAMe40K / 65.3 GB2050
...BQQjtS3cXkDV7x46ZUcoUP3pFRGoj440K / 65.3 GB2810
Note: green Score (e.g. "73.2") means that the model is better than shuttleai/shuttle-3.5.

Rank the Shuttle 3.5 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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