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Smaug 72B V0.1 AWQ by MaziyarPanahi

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  4-bit   Autotrain compatible   Awq Base model:abacusai/smaug-72b-... Base model:moreh/momo-72b-lora... Base model:quantized:abacusai/...   Endpoints compatible   Finetuned   Has space   Llama   Lora   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Smaug-72B-v0.1-AWQ 

Smaug 72B V0.1 AWQ Benchmarks

LLME Score: 0.17115
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smaug 72B V0.1 AWQ (MaziyarPanahi/Smaug-72B-v0.1-AWQ)

Smaug 72B V0.1 AWQ Parameters and Internals

Model Type 
text generation
Input Output 
Accepted Modalities:
text
LLM NameSmaug 72B V0.1 AWQ
Repository 🤗https://huggingface.co/MaziyarPanahi/Smaug-72B-v0.1-AWQ 
Model NameSmaug-72B-v0.1-AWQ
Model Creatorabacusai
Base Model(s)  abacusai/Smaug-72B-v0.1   abacusai/Smaug-72B-v0.1
Model Size72b
Required VRAM41.3 GB
Updated2025-01-12
MaintainerMaziyarPanahi
Model Typellama
Model Files  10.0 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   8.8 GB: 4-of-5   2.5 GB: 5-of-5
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size152064
LoRA ModelYes
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Smaug-72B-v0.1-AWQ.

Rank the Smaug 72B V0.1 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 v20241227
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