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Iambe Storyteller 20B AWQ by TheBloke

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Iambe Storyteller 20B AWQ is an open-source language model by TheBloke. Features: 20b LLM, VRAM: 10.9GB, Context: 4K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.1.

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

Iambe Storyteller 20B AWQ Benchmarks

LLME Score: 0.10481
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Iambe Storyteller 20B AWQ (TheBloke/Iambe-Storyteller-20B-AWQ)
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Iambe Storyteller 20B AWQ Parameters and Internals

Model Type 
text generation
Additional Notes 
Quantized by TheBloke using AWQ, supported for Linux and Windows with NVidia GPUs only.
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameIambe Storyteller 20B AWQ
Repository 🤗https://huggingface.co/TheBloke/Iambe-Storyteller-20B-AWQ 
Model NameIambe Storyteller 20B
Model CreatorRaven
Base Model(s)  Iambe Storyteller 20B   athirdpath/Iambe-Storyteller-20b
Model Size20b
Required VRAM10.9 GB
Updated2026-05-04
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
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Iambe-Storyteller-20B-AWQ.

Rank the Iambe Storyteller 20B AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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