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Seed OSS 36B Instruct AWQ by QuantTrio

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Seed OSS 36B Instruct AWQ is an open-source language model by QuantTrio. Features: 36b LLM, VRAM: 21.1GB, Context: 512K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.22.

  4-bit   Awq Base model:bytedance-seed/seed... Base model:quantized:bytedance...   Conversational   En   Endpoints compatible   Instruct   Quantized   Region:us   Safetensors   Seed oss   Sharded   Tensorflow   Vllm   Zh
Model Card on HF 🤗: https://huggingface.co/QuantTrio/Seed-OSS-36B-Instruct-AWQ 

Seed OSS 36B Instruct AWQ Benchmarks

LLME Score: 0.21932
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Seed OSS 36B Instruct AWQ (QuantTrio/Seed-OSS-36B-Instruct-AWQ)
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Seed OSS 36B Instruct AWQ Parameters and Internals

LLM NameSeed OSS 36B Instruct AWQ
Repository 🤗https://huggingface.co/QuantTrio/Seed-OSS-36B-Instruct-AWQ 
Base Model(s)  Seed OSS 36B Instruct   ByteDance-Seed/Seed-OSS-36B-Instruct
Model Size36b
Required VRAM21.1 GB
Updated2026-04-15
MaintainerQuantTrio
Model Typeseed_oss
Instruction-BasedYes
Model Files  3.0 GB: 1-of-8   3.0 GB: 2-of-8   2.9 GB: 3-of-8   3.0 GB: 4-of-8   2.9 GB: 5-of-8   2.9 GB: 6-of-8   2.9 GB: 7-of-8   0.5 GB: 8-of-8
Supported Languageszh en
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureSeedOssForCausalLM
Licenseapache-2.0
Context Length524288
Model Max Length524288
Transformers Version4.55.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<seed:pad>
Vocabulary Size155136
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than QuantTrio/Seed-OSS-36B-Instruct-AWQ.

Rank the Seed OSS 36B Instruct AWQ Capabilities

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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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