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Qwen Hook Layer 9 Posneg Merged by thejaminator

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Qwen Hook Layer 9 Posneg Merged is an open-source language model by thejaminator. Features: 8.2b LLM, VRAM: 16.4GB, Context: 40K, LLM Explorer Score: 0.21.

  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/thejaminator/qwen-hook-layer-9-posneg-merged 

Qwen Hook Layer 9 Posneg Merged Benchmarks

LLME Score: 0.2131
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen Hook Layer 9 Posneg Merged (thejaminator/qwen-hook-layer-9-posneg-merged)
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Qwen Hook Layer 9 Posneg Merged Parameters and Internals

LLM NameQwen Hook Layer 9 Posneg Merged
Repository 🤗https://huggingface.co/thejaminator/qwen-hook-layer-9-posneg-merged 
Model Size8.2b
Required VRAM16.4 GB
Updated2025-11-20
Maintainerthejaminator
Model Typeqwen3
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.6 GB: 4-of-4
Model ArchitectureQwen3ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version4.55.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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... Hook Layer 9 Step 1000 Merged40K / 16.4 GB37580
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...5d D08d 4249 868c A5c8617cf87432K / 32.7 GB60
Note: green Score (e.g. "73.2") means that the model is better than thejaminator/qwen-hook-layer-9-posneg-merged.

Rank the Qwen Hook Layer 9 Posneg Merged 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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