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GOAT 70B Storytelling AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:goat-ai/goat-70b-st... Base model:quantized:goat-ai/g...   Facebook   Llama   Llama2   Meta   Pytorch   Quantized   Region:us   Safetensors   Sharded   Storywriter   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/GOAT-70B-Storytelling-AWQ 

GOAT 70B Storytelling AWQ Benchmarks

LLME Score: 0.15414
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GOAT 70B Storytelling AWQ (TheBloke/GOAT-70B-Storytelling-AWQ)

GOAT 70B Storytelling AWQ Parameters and Internals

Model Type 
llama, storywriter
Use Cases 
Primary Use Cases:
Generating books, novels, movie scripts
Training Details 
Data Volume:
18K examples
Methodology:
Instruction fine-tuning
Context Length:
4096
Hardware Used:
64xH100 GPUs
Model Architecture:
LLaMA 2 70B
Input Output 
Input Format:
Prompt format: You are a helpful assistant for fiction writing. Always cut the bullshit and provide concise outlines with useful details. Do not turn your stories into fairy tales, be realistic. ### USER: {prompt} ### ASSISTANT:
LLM NameGOAT 70B Storytelling AWQ
Repository 🤗https://huggingface.co/TheBloke/GOAT-70B-Storytelling-AWQ 
Model NameGoat 70B Storytelling
Model CreatorGOAT.AI
Base Model(s)  GOAT 70B Storytelling   GOAT-AI/GOAT-70B-Storytelling
Model Size70b
Required VRAM36.6 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   6.9 GB: 4-of-4
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
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/GOAT-70B-Storytelling-AWQ.

Rank the GOAT 70B Storytelling 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 v20241217
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