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Kancil V0 Llama3 by afrizalha

 »  All LLMs  »  afrizalha  »  Kancil V0 Llama3   URL Share it on

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  8-bit   Autotrain compatible   Dataset:catinthebag/tumpengqa   Id   Indonesia   Llama   Llama3   Lora   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/afrizalha/Kancil-V0-llama3 

Kancil V0 Llama3 Benchmarks

LLME Score: 0.16729
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Kancil V0 Llama3 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, general AI hobbyists
Applications:
QA functionalities
Primary Use Cases:
Basic QA functionalities
Limitations:
Does not support multi-turn conversation
Considerations:
This is a research preview model with minimal safety curation. Ensure to use the model for non-commercial purposes and for having fun.
Additional Notes 
There is an issue with the dataset where the newline characters are interpreted as literal strings. Please keep the .replace() method to fix newline errors.
Supported Languages 
languages_supported (Indonesian), proficiency_level (Fluent)
Training Details 
Data Sources:
catinthebag/TumpengQA
Data Volume:
6.7 million words
Methodology:
Fine-tuned with QLoRA using Unsloth framework
Input Output 
Input Format:
User: {prompt} Asisten: {response}
Accepted Modalities:
text
Output Format:
Generated response
Performance Tips:
Changing the specific prompt template might lead to performance degradations.
Release Notes 
Version:
0.0
Notes:
First working prototype, supports basic QA functionalities only.
LLM NameKancil V0 Llama3
Repository 🤗https://huggingface.co/afrizalha/Kancil-V0-llama3 
Model Size4.7b
Required VRAM5.8 GB
Updated2025-06-09
Maintainerafrizalha
Model Files  0.7 GB   4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesid
Model ArchitectureAutoModelForCausalLM
Licensellama3
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|q_proj|k_proj|o_proj|up_proj|gate_proj|v_proj
LoRA Alpha64
LoRA Dropout0
R Param64
Kancil V0 Llama3 (afrizalha/Kancil-V0-llama3)

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Note: green Score (e.g. "73.2") means that the model is better than afrizalha/Kancil-V0-llama3.

Rank the Kancil V0 Llama3 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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Release v20241124
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