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Qwen3 8B 192K Context 6X Larger by DavidAU

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Qwen3 8B 192K Context 6X Larger is an open-source language model by DavidAU. Features: 8b LLM, VRAM: 16.4GB, Context: 192K, LLM Explorer Score: 0.21.

  192k 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-192k-Context-6X-Larger 

Qwen3 8B 192K Context 6X Larger Benchmarks

LLME Score: 0.20902
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 8B 192K Context 6X Larger (DavidAU/Qwen3-8B-192k-Context-6X-Larger)
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Qwen3 8B 192K Context 6X Larger Parameters and Internals

LLM NameQwen3 8B 192K Context 6X Larger
Repository 🤗https://huggingface.co/DavidAU/Qwen3-8B-192k-Context-6X-Larger 
Base Model(s)  Qwen3 8B   Qwen/Qwen3-8B
Model Size8b
Required VRAM16.4 GB
Updated2025-09-23
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 Length196608
Model Max Length196608
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-192k-Context-6X-Larger.

Rank the Qwen3 8B 192K Context 6X Larger 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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