Kancil V1 Llama3 Fp16 by afrizalha

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  4bit   Autotrain compatible Dataset:catinthebag/tumpeng-1-...   Fp16   Id   Indonesia   Llama   Llama3   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth

Kancil V1 Llama3 Fp16 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kancil V1 Llama3 Fp16 (afrizalha/Kancil-V1-llama3-fp16)

Kancil V1 Llama3 Fp16 Parameters and Internals

Model Type 
Generative Language Model
Use Cases 
Areas:
Research, General AI hobbyist exploration
Primary Use Cases:
Multi-turn conversation, Text generation, QA from text, Creating slogans
Limitations:
Minimal safety curation, Not for commercial use
Additional Notes 
There is an issue with newline character interpretation in the dataset output.
Supported Languages 
id (Generative LLM for Indonesian)
Training Details 
Data Sources:
catinthebag/Tumpeng-1-Indonesian
Data Volume:
14.8 million words
Methodology:
Fine-tuned with QLoRA using the Unsloth framework
Model Architecture:
Llama 3 architecture
Input Output 
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Use specific prompt templates to avoid performance degradation
LLM NameKancil V1 Llama3 Fp16
Repository ๐Ÿค—https://huggingface.co/afrizalha/Kancil-V1-llama3-fp16 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainerafrizalha
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesid
Quantization Typefp16|4bit
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than afrizalha/Kancil-V1-llama3-fp16.

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