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Mymodel by yaaserahr

 »  All LLMs  »  yaaserahr  »  Mymodel   URL Share it on

  6   
  Arxiv:1910.09700   4-bit   4bit   Adapter Base model:adapter:unsloth/phi... Base model:unsloth/phi-3-mini-...   Bitsandbytes   Finetuned   Instruct   Lora   Mistral   Peft   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/yaaserahr/mymodel 

Mymodel Benchmarks

LLME Score: 0.19165
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mymodel (yaaserahr/mymodel)

Mymodel Parameters and Internals

Responsible Ai Considerations 
Fairness:
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
LLM NameMymodel
Repository 🤗https://huggingface.co/yaaserahr/mymodel 
Base Model(s)  ...hi 3 Mini 4K Instruct Bnb 4bit   unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Required VRAM0.1 GB
Updated2024-11-11
Maintaineryaaserahr
Instruction-BasedYes
Model Files  0.1 GB
Quantization Type4bit
Model ArchitectureAdapter
Model Max Length4096
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|up_proj|k_proj|v_proj|gate_proj|q_proj|down_proj
LoRA Alpha16
LoRA Dropout0
R Param16

Best Alternatives to Mymodel

Best Alternatives
Context / RAM
Downloads
Likes
NaturalLanguagePioneersSTEMExp0K / 0.4 GB50
Phi 3 Mini 4K Instruct Sa V0.10K / 0 GB80
...mall Physics Finetuned Adapter0K / 0.1 GB81
Mistral Small Dampf Qlora0K / 0.8 GB80
Mistral Small Fujin Qlora0K / 0.8 GB92
Test0K / 0 GB50
Vfgf0K / 0 GB60
Results0K / 0 GB50
Results Phi3 Medium 4k0K / 0.1 GB50
Phi 3 Mini QLoRA0K / 0 GB1940
Note: green Score (e.g. "73.2") means that the model is better than yaaserahr/mymodel.

Rank the Mymodel 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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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