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Sydney Overthinker 13B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:fpham/sydney overth... Base model:quantized:fpham/syd...   Grammar   Llama   Quantized   Region:us   Safetensors   Spellcheck
Model Card on HF 🤗: https://huggingface.co/TheBloke/Sydney_Overthinker_13B-AWQ 

Sydney Overthinker 13B AWQ Benchmarks

LLME Score: 0.12878
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sydney Overthinker 13B AWQ (TheBloke/Sydney_Overthinker_13B-AWQ)
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Sydney Overthinker 13B AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
The Sydney Overthinker 13B model was trained on riddles to make it analyze problems deeply. It follows a unique style of cautious and thorough explanations.
LLM NameSydney Overthinker 13B AWQ
Repository 🤗https://huggingface.co/TheBloke/Sydney_Overthinker_13B-AWQ 
Model NameSydney Overthinker 13B
Model CreatorFPHam
Base Model(s)  Sydney Overthinker 13b HF   FPHam/Sydney_Overthinker_13b_HF
Model Size13b
Required VRAM7.2 GB
Updated2025-08-09
MaintainerTheBloke
Model Typellama
Model Files  7.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Sydney_Overthinker_13B-AWQ.

Rank the Sydney Overthinker 13B 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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