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

Lora Sft Finetuned Stage4 Iter86000 by GENIAC-Team-Ozaki

 »  All LLMs  »  GENIAC-Team-Ozaki  »  Lora Sft Finetuned Stage4 Iter86000   URL Share it on

  5   
  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Finetuned   Llama   Lora   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/GENIAC-Team-Ozaki/lora-sft-finetuned-stage4-iter86000 

Lora Sft Finetuned Stage4 Iter86000 Benchmarks

LLME Score: 0.18677
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lora Sft Finetuned Stage4 Iter86000 (GENIAC-Team-Ozaki/lora-sft-finetuned-stage4-iter86000)

Lora Sft Finetuned Stage4 Iter86000 Parameters and Internals

LLM NameLora Sft Finetuned Stage4 Iter86000
Repository 🤗https://huggingface.co/GENIAC-Team-Ozaki/lora-sft-finetuned-stage4-iter86000 
Model Size11.5b
Required VRAM23.2 GB
Updated2025-02-17
MaintainerGENIAC-Team-Ozaki
Model Typellama
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   3.2 GB: 5-of-5
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.40.0
Tokenizer ClassT5Tokenizer
Padding Token<pad>
Vocabulary Size50816
LoRA ModelYes
Torch Data Typebfloat16

Best Alternatives to Lora Sft Finetuned Stage4 Iter86000

Best Alternatives
Context / RAM
Downloads
Likes
Llama 3 Monika Ddlc 11.5B V18K / 23 GB353
Llama 3 11.5B V28K / 23 GB3641
Llama 3 11.5B V0.18K / 23 GB211
Llama 3 11.5B Instruct V28K / 23 GB76
Mermaid 11.5B4K / 23.2 GB41
...ena Finetuned Stage2 Iter400002K / 23.2 GB50
L3 11.5B DuS MoonRoot Bnb 4bit8K / 7.5 GB50
Note: green Score (e.g. "73.2") means that the model is better than GENIAC-Team-Ozaki/lora-sft-finetuned-stage4-iter86000.

Rank the Lora Sft Finetuned Stage4 Iter86000 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