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Iambe 20B DARE AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:athirdpath/iambe-20... Base model:quantized:athirdpat...   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Iambe-20B-DARE-AWQ 

Iambe 20B DARE AWQ Benchmarks

LLME Score: 0.12569
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Iambe 20B DARE AWQ (TheBloke/Iambe-20B-DARE-AWQ)
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Iambe 20B DARE AWQ Parameters and Internals

Model Type 
llama
Use Cases 
Considerations:
This model is uncensored, and the output/deployment of this model is the responsibility of the user.
Additional Notes 
The model aims to have a strong understanding of anatomy and scene state while maintaining a personable and authentic voice.
Training Details 
Methodology:
The model uses a merge method called 'dare_ties', combining elements from several other models, including NeverSleep/Noromaid-20b-v0.1.1, athirdpath/Eileithyia-20b, and athirdpath/CleverGirl-20b-Blended.
Context Length:
4096
Input Output 
Input Format:
Alpaca formatting: 'Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:'
LLM NameIambe 20B DARE AWQ
Repository 🤗https://huggingface.co/TheBloke/Iambe-20B-DARE-AWQ 
Model NameIambe 20B Dare
Model CreatorLadyBabyloin
Base Model(s)  Iambe 20B DARE   athirdpath/Iambe-20b-DARE
Model Size20b
Required VRAM10.9 GB
Updated2025-08-22
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   0.9 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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InternLM2 Chat 20B ToxicRP32K / 39.9 GB50
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Iambe-20B-DARE-AWQ.

Rank the Iambe 20B DARE 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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Release v20241124
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