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 GPTQ by TechxGenus

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

  1132   
  4-bit   Autotrain compatible   Conversational   En   Endpoints compatible   Facebook   Gptq   Llama   Llama-3   Meta   Pytorch   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TechxGenus/Meta-Llama-3-8B-GPTQ 

Meta Llama 3 8B GPTQ Benchmarks

LLME Score: 0.16271
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 GPTQ (TechxGenus/Meta-Llama-3-8B-GPTQ)
🌟 Advertise your project 🚀

Meta Llama 3 8B GPTQ Parameters and Internals

Model Type 
Auto-regressive language model, Text Generation, Dialogue
Additional Notes 
English language model with potential for fine-tuning for other languages under license conditions.
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, H100-80GB GPUs
Model Architecture:
Optimized transformer architecture
Safety Evaluation 
Methodologies:
Red-teaming, Adversarial evaluations
Findings:
Llama 3 is significantly less likely to falsely refuse to answer prompts than Llama 2
Risk Categories:
Misinformation, Insecure coding
Ethical Considerations:
Iterative testing was done to assess safety related to CBRNE threats.
Responsible Ai Considerations 
Fairness:
Model is designed to be inclusive and helpful across a wide range of use cases.
Transparency:
Efforts are made to maintain transparency through open community contributions.
Accountability:
Meta encourages developers to be responsible for customizing safety for their use case.
Mitigation Strategies:
Meta Llama Guard 2 and Code Shield for safety.
Input Output 
Input Format:
Text
Accepted Modalities:
Text
Output Format:
Text, Code
Release Notes 
Version:
70B
Date:
December 2023
Notes:
Additional parameters and context length.
Version:
8B
Date:
March 2023
Notes:
Initial release with Grouped-Query Attention.
LLM NameMeta Llama 3 8B GPTQ
Repository 🤗https://huggingface.co/TechxGenus/Meta-Llama-3-8B-GPTQ 
Base Model(s)  Meta Llama 3 8B Fp8   FriendliAI/Meta-Llama-3-8B-fp8
Model Size8b
Required VRAM5.7 GB
Updated2025-09-23
MaintainerTechxGenus
Model Typellama
Model Files  5.7 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
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 GPTQ

Best Alternatives
Context / RAM
Downloads
Likes
...a 3 8B Instruct 262K 4bit GPTQ256K / 5.8 GB61
... 8B Instruct 262K 4bit GPTQ 02256K / 5.7 GB60
...lama 3.1 8B Instruct GPTQ INT4128K / 5.8 GB2230438
...Instruct 80K Qlora Merged GPTQ80K / 5.8 GB60
...oLeo Instruct 8B 32K V0.1 GPTQ64K / 5.7 GB60
Llama3 German 8B 32K GPTQ64K / 5.7 GB50
Tsukasa Llama 3 8B Qlora Gptq32K / 5.8 GB50
Llama 3 Soliloquy 8B V2 GPTQ24K / 5.7 GB101
Llama 3 Soliloquy 8B GPTQ16K / 5.7 GB105
Meta Llama 3 8B Instruct GPTQ8K / 5.7 GB66455
Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/Meta-Llama-3-8B-GPTQ.

Rank the Meta Llama 3 8B GPTQ 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? 51545 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