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 Instruct GGUF by alokabhishek

 »  All LLMs  »  alokabhishek  »  Meta Llama 3 8B Instruct GGUF   URL Share it on

  1095   
  8b   Autotrain compatible   Conversational   Endpoints compatible   Facebook   Gguf   Instruct   Llama   Llama-3   Meta   Q4   Q4 k m   Q5 k m   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/alokabhishek/Meta-Llama-3-8B-Instruct-GGUF 

Meta Llama 3 8B Instruct GGUF Benchmarks

ARC: 59.64 vs 96.7 (so35)-38.3%
HellaSwag: 78.84 vs 95.3 (gpt4)-17.3%
MMLU: 65.06 vs 88.3 (so35)-26.3%
TruthfulQA: 50.17 vs 59 (gpt4)-15%
WinoGrande: 74.98 vs 87.5 (gpt4)-14.3%
GSM8K: 57.32 vs 96.4 (so35)-40.5%
LLME Score: 0.17878
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 GGUF (alokabhishek/Meta-Llama-3-8B-Instruct-GGUF)
🌟 Advertise your project 🚀

Meta Llama 3 8B Instruct GGUF Parameters and Internals

Model Type 
text generation, auto-regressive
Use Cases 
Areas:
Commercial, Research
Applications:
Chat assistants, Various NLP tasks
Primary Use Cases:
Assistant-like chat
Limitations:
English only, Potential for biased responses
Considerations:
Adherence to the Acceptable Use Policy and suitability testing for specific use cases required.
Additional Notes 
None specified.
Supported Languages 
English (Primary)
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
Training Time:
1.3M GPU hours
Hardware Used:
H100-80GB GPUs
Model Architecture:
Optimized transformer architecture
Safety Evaluation 
Methodologies:
Red teaming, Adversarial evaluations
Findings:
Model is less likely to falsely refuse prompts than previous models
Risk Categories:
Misinformation, Bias, Child Safety
Ethical Considerations:
Residual risks will likely remain; developers should assess these risks in context of their application.
Responsible Ai Considerations 
Fairness:
Enhancements to reduce refusals while maintaining usefulness.
Transparency:
Open sourced tools for community use and contributions.
Accountability:
Developers need to ensure sufficient model safety for their applications.
Mitigation Strategies:
Use of Responsible Use Guide, Llama Guard, and community contributions to mitigate risks.
Input Output 
Input Format:
Text prompts formatted as chat messages.
Accepted Modalities:
text
Output Format:
Generated text or code output.
Release Notes 
Version:
3
Date:
April 18, 2024
Notes:
Introduction of Meta-Llama-3-8B-Instruct with improved safety and helper functions.
LLM NameMeta Llama 3 8B Instruct GGUF
Repository 🤗https://huggingface.co/alokabhishek/Meta-Llama-3-8B-Instruct-GGUF 
Base Model(s)  ...eta Llama 3 8B Instruct FP8 KV   neuralmagic/Meta-Llama-3-8B-Instruct-FP8-KV
Model Size8b
Required VRAM4.9 GB
Updated2025-09-23
Maintaineralokabhishek
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB   5.7 GB
GGUF QuantizationYes
Quantization Typegguf|q4
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Meta Llama 3 8B Instruct GGUF

Best Alternatives
Context / RAM
Downloads
Likes
...truct Gradient 1048K IMat GGUF1024K / 2 GB15236
...B Instruct Gradient 1048K GGUF1024K / 3.2 GB12313
Llama 3 8B Instruct 262K GGUF256K / 3.2 GB2192
Llama 3.1 8B Instruct GGUF128K / 2.2 GB1198315
...tion Sec 8B Instruct Q8 0 GGUF128K / 8.5 GB10124
... 8B Instruct Reasoner 1o1 V0.3128K / 16.1 GB3228
Llama 3.1 TAIDE R1 8B Chat128K / 17.1 GB140223
Nsfw Plz Gguf Me128K / 16.1 GB33
...lama 3.1 Cantonese 8B Instruct128K / 16.1 GB776
Alpha R S V2 Q8 0 GGUF39K / 8.5 GB180
Note: green Score (e.g. "73.2") means that the model is better than alokabhishek/Meta-Llama-3-8B-Instruct-GGUF.

Rank the Meta Llama 3 8B Instruct GGUF 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? 51563 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