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ModeliCo 8B by neighborwang

 »  All LLMs  »  neighborwang  »  ModeliCo 8B   URL Share it on

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Dataset:neighborwang/modelica ...   En   Endpoints compatible   Instruct   Llama   Lora   Peft   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow

ModeliCo 8B Benchmarks

LLME Score: 0.24219
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

ModeliCo 8B Parameters and Internals

Model Type 
text2text-generation
Additional Notes 
A cutting-edge LLM designed to empower users of all skill levels to effortlessly model complex systems and unlock the full potential of Modelica.
Supported Languages 
en (high)
LLM NameModeliCo 8B
Repository 🤗https://huggingface.co/neighborwang/ModeliCo-8B 
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   meta-llama/Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2024-11-21
Maintainerneighborwang
Instruction-BasedYes
Model Files  0.2 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   0.0 GB
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length131072
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|down_proj|v_proj|q_proj|k_proj|gate_proj|up_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16
ModeliCo 8B (neighborwang/ModeliCo-8B)

Best Alternatives to ModeliCo 8B

Best Alternatives
Context / RAM
Downloads
Likes
Codelica0K / 16.1 GB1110
...Instruct Persian Finetuned Sft0K / 0 GB1975
Meta Llama 3.1 8B Instruct OAS0K / 16.1 GB2871
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... Meta Llama 3 8B Instruct Lora0K / 0.7 GB173
Llama 3 8B Instruct Spider0K / 16.1 GB370
...3 Project Management Assistant0K / 0.2 GB201
...ama 3 8B Instruct Bnb Telcom 30K / 0.2 GB120
Llama300K / 16.1 GB120
Llama260K / 16.1 GB90
Note: green Score (e.g. "73.2") means that the model is better than neighborwang/ModeliCo-8B.

Rank the ModeliCo 8B 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 v20241110
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