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

Meta Llama 3 8B Instruct AWQ by bartowski

 »  All LLMs  »  bartowski  »  Meta Llama 3 8B Instruct AWQ   URL Share it on

  836   

Meta Llama 3 8B Instruct AWQ is an open-source language model by bartowski. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, License: other, Quantized, Instruction-Based, HF Score: 66.3, LLM Explorer Score: 0.15, Arc: 59.9, HellaSwag: 80, MMLU: 64.8, TruthfulQA: 51.9, WinoGrande: 75.6, GSM8K: 65.7.

  4-bit   Awq   Conversational   En   Endpoints compatible   Facebook   Instruct   Llama   Llama-3   Meta   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-AWQ 

Meta Llama 3 8B Instruct AWQ Benchmarks

ARC: 59.9 vs 96.7 (so35)-38.1%
HellaSwag: 80.01 vs 95.3 (gpt4)-16%
MMLU: 64.8 vs 88.3 (so35)-26.6%
TruthfulQA: 51.87 vs 59 (gpt4)-12.1%
WinoGrande: 75.61 vs 87.5 (gpt4)-13.6%
GSM8K: 65.73 vs 96.4 (so35)-31.8%
LLME Score: 0.15331
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B Instruct AWQ (bartowski/Meta-Llama-3-8B-Instruct-AWQ)
🌟 Advertise your project 🚀

Meta Llama 3 8B Instruct AWQ Parameters and Internals

Model Type 
text generation
Additional Notes 
The model has been quantized using AutoAWQ to 4-bit weights.
Input Output 
Input Format:
<|begin_of_text|><|start_header_id|>system<|end_header_id|> {system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|> {prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
LLM NameMeta Llama 3 8B Instruct AWQ
Repository 🤗https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-AWQ 
Base Model(s)  Meta Llama 3 13B Instruct   andrijdavid/Meta-Llama-3-13B-Instruct
Model Size8b
Required VRAM5.8 GB
Updated2026-05-05
Maintainerbartowski
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

Best Alternatives to Meta Llama 3 8B Instruct 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 GB60
... Instruct 8B 32K V0.1 4bit AWQ64K / 5.8 GB80
Llama 3 8B Instruct AWQ8K / 5.8 GB8810529
...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 GB9685
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB60
Note: green Score (e.g. "73.2") means that the model is better than bartowski/Meta-Llama-3-8B-Instruct-AWQ.

Rank the Meta Llama 3 8B Instruct 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? 53493 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