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Nethena 20B Glued GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:athirdpath/nethena-... Base model:quantized:athirdpat...   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Nethena-20B-Glued-GPTQ 

Nethena 20B Glued GPTQ Benchmarks

LLME Score: 0.12502
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nethena 20B Glued GPTQ (TheBloke/Nethena-20B-Glued-GPTQ)
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Nethena 20B Glued GPTQ Parameters and Internals

Model Type 
llama
Additional Notes 
This model is a test, exploring the effects of 'gluing' the components of the 20b model together to reduce iconic word replacement errors, increase lucidity, and improve recall. Trained on NSFW-oriented content, it passes subjective testing with flying colors.
Training Details 
Data Sources:
Medical texts, Excerpts from short stories and novellas, PIPPA, GPT-4 generated data
Data Volume:
~500k tokens
Methodology:
Alpaca formatted with LORA application
Context Length:
2048
Model Architecture:
LORA-augmented, NSFW-oriented, aligned to reduce iconic word replacement errors
Input Output 
Input Format:
Alpaca-style prompts
LLM NameNethena 20B Glued GPTQ
Repository 🤗https://huggingface.co/TheBloke/Nethena-20B-Glued-GPTQ 
Model NameNethena 20B Glued
Model CreatorRaven
Base Model(s)  Nethena 20B Glued   athirdpath/Nethena-20b-Glued
Model Size20b
Required VRAM10.5 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  10.5 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32001
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nethena-20B-Glued-GPTQ.

Rank the Nethena 20B Glued GPTQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Release v20241124
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