Codelica by neighborwang

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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

Codelica Benchmarks

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

Codelica Parameters and Internals

LLM NameCodelica
Repository ๐Ÿค—https://huggingface.co/neighborwang/Codelica 
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   meta-llama/Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2024-10-07
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
Codelica (neighborwang/Codelica)

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Context / RAM
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Likes
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Llama 3 8B Instruct Spider0K / 16.1 GB160
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...ama 3 8B Instruct Bnb Telcom 30K / 0.2 GB50
Llama300K / 16.1 GB50
Llama260K / 16.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than neighborwang/Codelica.

Rank the Codelica Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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 v2024072803