LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Llama 3 Smaug 8B AWQ by solidrust

 »  All LLMs  »  solidrust  »  Llama 3 Smaug 8B AWQ   URL Share it on

  4   

Llama 3 Smaug 8B AWQ is an open-source language model by solidrust. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, License: llama2, Quantized, LLM Explorer Score: 0.14, Arc: 59.6, HellaSwag: 80, MMLU: 65.8, GSM8K: 55.9.

  4-bit   Autotrain compatible   Awq Base model:abacusai/llama-3-sm... Base model:quantized:abacusai/...   Conversational Dataset:anon8231489123/sharegp...   Dataset:aqua rat Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/orca-math-wo...   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/solidrust/Llama-3-Smaug-8B-AWQ 

Llama 3 Smaug 8B AWQ Benchmarks

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%
GSM8K: 55.88 vs 96.4 (so35)-42%
LLME Score: 0.14275
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 AWQ (solidrust/Llama-3-Smaug-8B-AWQ)
🌟 Advertise your project 🚀

Llama 3 Smaug 8B AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model was built using the Smaug recipe for improving performance on real-world multi-turn conversations. AWQ is an efficient, accurate, and blazing-fast low-bit weight quantization method, supporting 4-bit quantization. AWQ models are currently supported on Linux and Windows with NVidia GPUs only. macOS users should use GGUF models instead.
LLM NameLlama 3 Smaug 8B AWQ
Repository 🤗https://huggingface.co/solidrust/Llama-3-Smaug-8B-AWQ 
Base Model(s)  Llama 3 Smaug 8B   abacusai/Llama-3-Smaug-8B
Model Size8b
Required VRAM5.8 GB
Updated2026-04-23
Maintainersolidrust
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

Best Alternatives to Llama 3 Smaug 8B AWQ

Best Alternatives
Context / RAM
Downloads
Likes
...8B Instruct Gradient 1048K AWQ1024K / 5.8 GB80
...radient 1048K AWQ 4bit Smashed1024K / 5.8 GB71
...Instruct 262K AWQ 4bit Smashed256K / 5.8 GB54
...ta Llama 3 8B Instruct 64K AWQ64K / 5.8 GB80
... Instruct 8B 32K V0.1 4bit AWQ64K / 5.8 GB80
Llama 3 8B Instruct AWQ8K / 5.8 GB9608529
...eta Llama 3 8B Instruct Hf AWQ8K / 5.8 GB15209
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB8580
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB10745
Hermes 2 Pro Llama 3 8B AWQ8K / 5.8 GB88911
Note: green Score (e.g. "73.2") means that the model is better than solidrust/Llama-3-Smaug-8B-AWQ.

Rank the Llama 3 Smaug 8B 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  

What open-source LLMs or SLMs are you in search of? 53972 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer