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

Llama 3 8B Instruct Bnb 4bit by unsloth

 »  All LLMs  »  unsloth  »  Llama 3 8B Instruct Bnb 4bit   URL Share it on

  74061   
  4-bit   4bit   Autotrain compatible   Bitsandbytes   Conversational   En   Endpoints compatible   Facebook   Instruct   Llama   Llama-3   Meta   Quantized   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit 

Llama 3 8B Instruct Bnb 4bit Benchmarks

MMLU Pro: 19.98
GPQA: 2.68
MUSR: 5.49
BBH: 19.08
IFEval: 54.55 vs 88 (so35)-38%
MATH Lvl 5: 3.55
LLME Score: 0.34599
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Instruct Bnb 4bit (unsloth/llama-3-8b-Instruct-bnb-4bit)

Llama 3 8B Instruct Bnb 4bit Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Applications:
assistant-like chat, natural language generation tasks
Primary Use Cases:
Instruction tuned models for dialogue, Pretrained models for various text tasks
Limitations:
Use violating laws or policies, Use in non-English languages without compliance
Supported Languages 
en (full support)
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 GPU
Model Architecture:
auto-regressive language model with an optimized transformer architecture
Safety Evaluation 
Methodologies:
red teaming, adversarial evaluations
Findings:
reduced residual risks with safety tools, improved refusal rates to benign prompts
Risk Categories:
misinformation, child safety, cybersecurity
Ethical Considerations:
Emphasis on responsible deployment and safety best practices
Responsible Ai Considerations 
Accountability:
Meta
Mitigation Strategies:
Provides tools like Meta Llama Guard 2 and Code Shield for developers
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text and code
Release Notes 
Version:
3.0
Date:
April 18, 2024
Notes:
Initial release of Llama 3 family models
LLM NameLlama 3 8B Instruct Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit 
Base Model(s)  meta-llama/Llama-3-8B-Instruct   meta-llama/Llama-3-8B-Instruct
Model Size8b
Required VRAM5.7 GB
Updated2024-12-14
Maintainerunsloth
Model Typellama
Instruction-BasedYes
Model Files  5.7 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Llama 3 8B Instruct Bnb 4bit

Model
Likes
Downloads
VRAM
Llama 3 Orpo V1 Merged 16bit11716 GB
Llama 3 8B Instruct Coder5217616 GB
... 1 And 2 Corect Unsloth Merged01116 GB
Llama 3 8B StoryGenerator237816 GB
Llama 3 Petro Instruct V111616 GB
...3 Project Management Assistant1170 GB
Llamared74b0175 GB
Puzzle Tools Llama30214 GB
... 8B Instruct Matter 0.1 Slim A21116 GB
Qllamaredq054 GB

Best Alternatives to Llama 3 8B Instruct Bnb 4bit

Best Alternatives
Context / RAM
Downloads
Likes
...B Instruct Gradient 1048K 4bit1024K / 4.5 GB82
...B Instruct Gradient 1048K 8bit1024K / 8.6 GB91
...truct Gradient 1048K Bpw6 EXL21024K / 6.7 GB72
...truct Gradient 1048K Bpw5 EXL21024K / 5.8 GB50
Llama 3 8B Instruct 1048K 4bit1024K / 4.5 GB1025
Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB2917
... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB113
...ct Gradient 1048K Bpw2.25 EXL21024K / 3.4 GB71
...B Instruct 262k V2 EXL2 6.0bpw256K / 6.7 GB121
Llama 3 8B Instruct 262K 2bit256K / 2.5 GB71

Rank the Llama 3 8B Instruct Bnb 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? 39237 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