Stheno Inverted L2 13B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:quantized:sao10k/st... Base model:sao10k/stheno-inver...   En   Llama   Quantized   Region:us   Safetensors

Stheno Inverted L2 13B AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stheno Inverted L2 13B AWQ (TheBloke/Stheno-Inverted-L2-13B-AWQ)
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Stheno Inverted L2 13B AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
Test Checklist: - Censorship: Fairly Uncensored - Writing: Good Prose, Fairly Descriptive - NSFW: Yes - IQ Level: Pretty Smart - Formatting: Proper Formatting with Examples Noticeable difference with Stheno-L2. From personal tests: A bit more verbose, a little less smart, and a little more forward with NSFW compared to regular Stheno.
Training Details 
Methodology:
Gradient Merge of Stheno-P2 & Stheno-P1, Models are in Inverted Positions
LLM NameStheno Inverted L2 13B AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Stheno-Inverted-L2-13B-AWQ 
Model NameStheno Inverted L2 13B
Model CreatorSao10K
Base Model(s)  Stheno Inverted L2 13B   Sao10K/Stheno-Inverted-L2-13B
Model Size13b
Required VRAM7.2 GB
Updated2025-09-22
MaintainerTheBloke
Model Typellama
Model Files  7.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.32.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk 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/Stheno-Inverted-L2-13B-AWQ.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124