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SERA 32B by allenai

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SERA 32B is an open-source language model by allenai. Features: 32b LLM, VRAM: 65.8GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.27.

  Arxiv:2601.20789   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allenai/SERA-32B 

SERA 32B Benchmarks

LLME Score: 0.26814
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SERA 32B (allenai/SERA-32B)
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SERA 32B Parameters and Internals

LLM NameSERA 32B
Repository 🤗https://huggingface.co/allenai/SERA-32B 
Model Size32b
Required VRAM65.8 GB
Updated2026-06-21
Maintainerallenai
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   0.0 GB
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.57.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

Quantized Models of the SERA 32B

Model
Likes
Downloads
VRAM
SERA 32B 6bit21226 GB

Best Alternatives to SERA 32B

Best Alternatives
Context / RAM
Downloads
Likes
...ll Qwen3 32B Preview7 QAT 200K195K / 65.8 GB93
...ll Qwen3 32B Preview6 QAT 200K195K / 65.8 GB72
...ll Qwen3 32B Preview4 QAT 200K195K / 65.8 GB72
Qwen3 32B40K / 65.6 GB6278531692
Qwen3 32B40K / 65.8 GB541115
OpenThinkerAgent 32B40K / 65.8 GB15708
Qwen3 32B NVFP440K / 20.7 GB24624117
Assistant Pepe 32B40K / 65.5 GB34452
FrogBoss 32B 251040K / 65.8 GB1210629
Hivemind 32B Preview40K / 65.8 GB22233
Note: green Score (e.g. "73.2") means that the model is better than allenai/SERA-32B.

Rank the SERA 32B 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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