Tinyllama Ft CodeAlpaca Adapter by mrm8488

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  4bit   Adapter Base model:finetune:unsloth/ti... Base model:unsloth/tinyllama-b...   Dataset:generator   Finetuned   Generated from trainer   Lora   Quantized   Region:us   Safetensors

Tinyllama Ft CodeAlpaca Adapter Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tinyllama Ft CodeAlpaca Adapter (mrm8488/tinyllama-ft-codeAlpaca-adapter)

Tinyllama Ft CodeAlpaca Adapter Parameters and Internals

Additional Notes 
This model is a fine-tuned version of the base model on the generator dataset with specified training hyperparameters.
Training Details 
Data Sources:
generator
LLM NameTinyllama Ft CodeAlpaca Adapter
Repository ๐Ÿค—https://huggingface.co/mrm8488/tinyllama-ft-codeAlpaca-adapter 
Base Model(s)  Tinyllama Bnb 4bit   unsloth/tinyllama-bnb-4bit
Required VRAM0.1 GB
Updated2025-02-05
Maintainermrm8488
Model Files  0.1 GB
Quantization Type4bit
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|k_proj|down_proj|o_proj|gate_proj|v_proj|up_proj
LoRA Alpha32
LoRA Dropout0
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than mrm8488/tinyllama-ft-codeAlpaca-adapter.

Rank the Tinyllama Ft CodeAlpaca Adapter Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Code Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227