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

Llama 3.1 8B Pruned 4 Layers by Na0s

 »  All LLMs  »  Na0s  »  Llama 3.1 8B Pruned 4 Layers   URL Share it on

  454   
  Merged Model   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Na0s/Llama-3.1-8b-Pruned-4-Layers 

Llama 3.1 8B Pruned 4 Layers Benchmarks

LLME Score: 0.22467
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 8B Pruned 4 Layers (Na0s/Llama-3.1-8b-Pruned-4-Layers)

Llama 3.1 8B Pruned 4 Layers Parameters and Internals

Additional Notes 
This model was created using mergekit, implementing the passthrough merge method. It merges specific layers of the Meta-Llama-3.1-8B model.
LLM NameLlama 3.1 8B Pruned 4 Layers
Repository 🤗https://huggingface.co/Na0s/Llama-3.1-8b-Pruned-4-Layers 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B   meta-llama/Meta-Llama-3.1-8B
Merged ModelYes
Model Size8b
Required VRAM13.9 GB
Updated2024-08-08
MaintainerNa0s
Model Typellama
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.9 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Llama 3.1 8B Pruned 4 Layers

Best Alternatives
Context / RAM
Downloads
Likes
...a 3 8B Instruct Gradient 1048K1024K / 16.1 GB6623678
MrRoboto ProLong 8B V4i1024K / 16.1 GB661
...o ProLongBASE Pt8 Unaligned 8B1024K / 16.1 GB240
Mpasila Viking 8B1024K / 16.1 GB590
41024K / 16.1 GB3220
Thor V1.4 8B DARK FICTION1024K / 16.1 GB9412
161024K / 16.1 GB1690
Because Im Bored Nsfw11024K / 16.1 GB661
111024K / 16.1 GB1130
NBeerbower Narrative 8B 64K1024K / 16.1 GB321
Note: green Score (e.g. "73.2") means that the model is better than Na0s/Llama-3.1-8b-Pruned-4-Layers.

Rank the Llama 3.1 8B Pruned 4 Layers 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? 42577 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