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

Meta Llama 3 8B AWQ by TechxGenus

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

  36   
  4-bit   Awq   Conversational   En   Endpoints compatible   Facebook   Llama   Llama-3   Meta   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TechxGenus/Meta-Llama-3-8B-AWQ 

Meta Llama 3 8B AWQ Benchmarks

ARC: 59.22 vs 96.7 (so35)-38.8%
HellaSwag: 82.02 vs 95.3 (gpt4)-13.9%
MMLU: 66.49 vs 88.3 (so35)-24.7%
TruthfulQA: 43.95 vs 59 (gpt4)-25.5%
WinoGrande: 77.11 vs 87.5 (gpt4)-11.9%
GSM8K: 45.34 vs 96.4 (so35)-53%
LLME Score: 0.16512
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 AWQ (TechxGenus/Meta-Llama-3-8B-AWQ)
🌟 Advertise your project 🚀

Meta Llama 3 8B AWQ Parameters and Internals

Model Type 
large language models, text generation
Use Cases 
Areas:
commercial use, research
Applications:
assistant-like chat, natural language generation
Limitations:
Use in languages other than English
Considerations:
Developers must follow the Community License and Acceptable Use Policy.
Additional Notes 
This is a static model trained on an offline dataset.
Training Details 
Data Sources:
publicly available online data
Data Volume:
15 trillion tokens
Methodology:
supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Context Length:
8000
Hardware Used:
Meta's Research SuperCluster, third-party cloud compute
Model Architecture:
optimized transformer architecture
Safety Evaluation 
Methodologies:
red teaming, adversarial evaluations
Findings:
Lower residual risks compared to previous versions, Emphasis on avoiding false refusals
Risk Categories:
Cybersecurity, Child Safety
Ethical Considerations:
Focus on reducing exposure to harmful or malicious outputs.
Responsible Ai Considerations 
Mitigation Strategies:
Use of tools like Meta Llama Guard 2 and Code Shield to reduce risks.
Input Output 
Input Format:
text
Output Format:
text
Release Notes 
Version:
Llama 3
Date:
April 18, 2024
Notes:
Instruction tuned and optimized for dialogue use cases.
LLM NameMeta Llama 3 8B AWQ
Repository 🤗https://huggingface.co/TechxGenus/Meta-Llama-3-8B-AWQ 
Base Model(s)  Meta Llama 3 8B Hf   Undi95/Meta-Llama-3-8B-hf
Model Size8b
Required VRAM5.8 GB
Updated2026-01-21
MaintainerTechxGenus
Model Typellama
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 Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

Best Alternatives to Meta Llama 3 8B AWQ

Best Alternatives
Context / RAM
Downloads
Likes
...8B Instruct Gradient 1048K AWQ1024K / 5.8 GB70
...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 GB522825
...eta Llama 3 8B Instruct Hf AWQ8K / 5.8 GB14329
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB12675
Llama 3 ELYZA JP 8B AWQ8K / 5.8 GB14154
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB60
Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/Meta-Llama-3-8B-AWQ.

Rank the Meta Llama 3 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? 51611 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.
Release v20241124
  Support LLM Explorer