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Qwen3 8B 320K Context 10X Massive by DavidAU

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  320k context   Autotrain compatible Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-8b   Conversational   Endpoints compatible   Qwen3   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Thinking
Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-8B-320k-Context-10X-Massive 

Qwen3 8B 320K Context 10X Massive Benchmarks

LLME Score: 0.23321
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 8B 320K Context 10X Massive (DavidAU/Qwen3-8B-320k-Context-10X-Massive)
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Qwen3 8B 320K Context 10X Massive Parameters and Internals

LLM NameQwen3 8B 320K Context 10X Massive
Repository 🤗https://huggingface.co/DavidAU/Qwen3-8B-320k-Context-10X-Massive 
Base Model(s)  Qwen3 8B   Qwen/Qwen3-8B
Model Size8b
Required VRAM16.4 GB
Updated2025-08-23
MaintainerDavidAU
Model Typeqwen3
Model Files  4.0 GB: 1-of-5   4.0 GB: 2-of-5   4.0 GB: 3-of-5   3.2 GB: 4-of-5   1.2 GB: 5-of-5
Model ArchitectureQwen3ForCausalLM
Context Length327680
Model Max Length327680
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen3-8B-320k-Context-10X-Massive.

Rank the Qwen3 8B 320K Context 10X Massive 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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