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Llama 3 Smaug 8B by abacusai

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Llama 3 Smaug 8B is an open-source language model by abacusai. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama2, HF Score: 64.6, LLM Explorer Score: 0.25, Arc: 59.6, HellaSwag: 80, MMLU: 65.8, TruthfulQA: 51.7, WinoGrande: 74.7, GSM8K: 55.9.

  Arxiv:2402.13228   Conversational Dataset:anon8231489123/sharegp...   Dataset:aqua rat Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/orca-math-wo...   Deploy:azure   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/abacusai/Llama-3-Smaug-8B 

Llama 3 Smaug 8B Benchmarks

MMLU Pro: 24.28
MUSR: 5.05
BBH: 27.88
IFEval: 48.67 vs 88 (so35)-44.7%
ARC: 59.56 vs 96.7 (so35)-38.4%
HellaSwag: 80.04 vs 95.3 (gpt4)-16%
MMLU: 65.77 vs 88.3 (so35)-25.5%
TruthfulQA: 51.67 vs 59 (gpt4)-12.4%
WinoGrande: 74.74 vs 87.5 (gpt4)-14.6%
GSM8K: 55.88 vs 96.4 (so35)-42%
MATH Lvl 5: 8.53
LLME Score: 0.2503
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Smaug 8B (abacusai/Llama-3-Smaug-8B)
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Llama 3 Smaug 8B Parameters and Internals

Model Type 
text generation
Additional Notes 
This version of Smaug uses new techniques and new data compared to Smaug-72B, and more information will be released later.
Training Details 
Data Sources:
aqua_rat, microsoft/orca-math-word-problems-200k, m-a-p/CodeFeedback-Filtered-Instruction, anon8231489123/ShareGPT_Vicuna_unfiltered
Methodology:
Smaug recipe for improving performance on real-world multi-turn conversations
LLM NameLlama 3 Smaug 8B
Repository 🤗https://huggingface.co/abacusai/Llama-3-Smaug-8B 
Model Size8b
Required VRAM16.1 GB
Updated2026-03-09
Maintainerabacusai
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length8192
Model Max Length8192
Transformers Version4.37.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Llama 3 Smaug 8B

Model
Likes
Downloads
VRAM
Smaugredq0384 GB
Llama 3 Smaug 8B AWQ125 GB
Llama 3 Smaug 8B 4bit1165 GB
Llama 3 Smaug 8B GGUF5703 GB
Smaugredq004 GB

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Zero Llama 3.1 8B Beta61048K / 16.1 GB51
Note: green Score (e.g. "73.2") means that the model is better than abacusai/Llama-3-Smaug-8B.

Rank the Llama 3 Smaug 8B 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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