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Smaug 72B V0.1 2.4bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  Smaug 72B V0.1 2.4bpw H6 EXL2   URL Share it on

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  Autotrain compatible Base model:finetune:moreh/momo... Base model:moreh/momo-72b-lora...   Endpoints compatible   Exl2   Llama   Lora   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Smaug-72B-v0.1-2.4bpw-h6-exl2 

Smaug 72B V0.1 2.4bpw H6 EXL2 Benchmarks

LLME Score: 0.14452
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 2.4bpw H6 EXL2 (LoneStriker/Smaug-72B-v0.1-2.4bpw-h6-exl2)
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Smaug 72B V0.1 2.4bpw H6 EXL2 Parameters and Internals

Model Type 
text generation
Training Details 
Methodology:
Finetuned from moreh/MoMo-72B-lora-1.8.7-DPO, based on Qwen-72B with new datasets and a new approach.
LLM NameSmaug 72B V0.1 2.4bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Smaug-72B-v0.1-2.4bpw-h6-exl2 
Base Model(s)  moreh/MoMo-72B-lora-1.8.7-DPO   moreh/MoMo-72B-lora-1.8.7-DPO
Model Size72b
Required VRAM24.5 GB
Updated2025-07-31
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-3   8.6 GB: 2-of-3   7.3 GB: 3-of-3
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassGPT2Tokenizer
Vocabulary Size152064
LoRA ModelYes
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Smaug-72B-v0.1-2.4bpw-h6-exl2.

Rank the Smaug 72B V0.1 2.4bpw H6 EXL2 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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