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 4bit by ibibek

 »  All LLMs  »  ibibek  »  Meta Llama 3 8B 4bit   URL Share it on

  81   
  4-bit   4bit   Autotrain compatible   Bitsandbytes   Conversational   En   Endpoints compatible   Facebook   Llama   Llama-3   Meta   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ibibek/Meta-Llama-3-8B-4bit 

Meta Llama 3 8B 4bit Benchmarks

LLME Score: 0.18208
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 4bit (ibibek/Meta-Llama-3-8B-4bit)

Meta Llama 3 8B 4bit Parameters and Internals

Model Type 
text generation, dialogue use cases
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat, Natural language generation tasks
Primary Use Cases:
Chat models, Instruction tuned applications
Limitations:
Limited to English use, Out-of-scope for legal violations
Considerations:
Developers may fine-tune for languages beyond English.
Supported Languages 
English (high)
Training Details 
Data Sources:
Publicly available online data, Publicly available instruction datasets, Human-annotated examples
Data Volume:
15 trillion tokens for pretraining, 10 million human-annotated examples for fine-tuning
Methodology:
Supervised fine-tuning, Reinforcement Learning with Human Feedback (RLHF)
Context Length:
8000
Hardware Used:
H100-80GB GPUs
Model Architecture:
Optimized transformer architecture with Grouped-Query Attention (GQA)
Safety Evaluation 
Methodologies:
Red-teaming exercises, Adversarial evaluations, Safety mitigations
Findings:
Model is less likely to falsely refuse prompts than Llama 2
Risk Categories:
Misuse, Critical risks, such as CBRNE, Cybersecurity, Child Safety
Ethical Considerations:
Developers should implement safety best practices and assess residual risks.
Responsible Ai Considerations 
Fairness:
Model is designed to be open, inclusive, and helpful.
Transparency:
Encourages community collaboration for transparency and safety
Accountability:
Developers responsible for appropriate use and safety evaluations.
Mitigation Strategies:
Purple Llama tools and Llama Guard safeguard measures are provided.
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Text and code
LLM NameMeta Llama 3 8B 4bit
Repository 🤗https://huggingface.co/ibibek/Meta-Llama-3-8B-4bit 
Base Model(s)  Omost Llama 3 8B 4bits   lllyasviel/omost-llama-3-8b-4bits
Model Size8b
Required VRAM5.8 GB
Updated2025-02-22
Maintaineribibek
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

Best Alternatives to Meta Llama 3 8B 4bit

Best Alternatives
Context / RAM
Downloads
Likes
...B Instruct Gradient 1048K 4bit1024K / 4.5 GB212
...B Instruct Gradient 1048K 8bit1024K / 8.6 GB71
...truct Gradient 1048K Bpw6 EXL21024K / 6.7 GB102
...truct Gradient 1048K Bpw5 EXL21024K / 5.8 GB70
Llama 3 8B Instruct 1048K 4bit1024K / 4.5 GB1225
Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB2817
... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB83
...ct Gradient 1048K Bpw2.25 EXL21024K / 3.4 GB51
Llama 3 8B Instruct 262K 2bit256K / 2.5 GB71
...B Instruct 262k V2 EXL2 6.0bpw256K / 6.7 GB111
Note: green Score (e.g. "73.2") means that the model is better than ibibek/Meta-Llama-3-8B-4bit.

Rank the Meta Llama 3 8B 4bit 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? 43470 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 v20241227
  Support LLM Explorer