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Model: SAWithanage/SinLlama-Llama-3-8B-Merged Source: Original Platform
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README.md
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---
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language:
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- si
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- en
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base_model: meta-llama/Meta-Llama-3-8B
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tags:
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- llama-3
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- sinhala
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- nlp
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- text-generation
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- merged
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license: llama3
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---
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# SinLlama Llama-3-8B Merged
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This repository contains a continuous pre-trained (CPT) base model for the Sinhala language. It was created by mathematically merging the official `meta-llama/Meta-Llama-3-8B` base model with the `polyglots/SinLlama_v01` LoRA adapter.
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**This model has been fully merged into standalone FP16 weights**, meaning it can be loaded directly in libraries like `transformers` or `vLLM` without needing to download or manage separate Peft adapters.
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## 🏆 Acknowledgments, Credits & Disclaimer
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**My contribution to this repository is strictly limited to merging the weights to provide a convenient standalone model.**
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All credit for the foundational machine learning research, tokenizer vocabulary expansion, dataset curation, and continuous pre-training (CPT) belongs entirely to the **[Polyglots](https://huggingface.co/polyglots)** team and the authors of the SinLlama paper.
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* **Researchers/Authors:** H. W. K. Aravinda, Rashad Sirajudeen, Samith Karunathilake, Nisansa de Silva, Surangika Ranathunga, Rishemjit Kaur
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* **Original Adapter:** [polyglots/SinLlama_v01](https://huggingface.co/polyglots/SinLlama_v01)
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* **Original Tokenizer:** [polyglots/Extended-Sinhala-LLaMA](https://huggingface.co/polyglots/Extended-Sinhala-LLaMA)
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* **Paper:** *SinLlama: A Large Language Model for Sinhala*
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If you use this model in your research or applications, please ensure you cite their original work:
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```bibtex
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@article{aravinda2025sinllama,
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title={SinLlama-A Large Language Model for Sinhala},
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author={Aravinda, H W K and Sirajudeen, Rashad and Karunathilake, Samith and de Silva, Nisansa and Ranathunga, Surangika and Kaur, Rishemjit},
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journal={arXiv preprint arXiv:2508.09115},
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year={2025}
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}
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```
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## ⚙️ Model Details
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* **Base Model:** [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
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* **Language:** Sinhala (si), English (en)
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* **Architecture:** Llama 3 (8 Billion Parameters)
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* **Format:** Safetensors (Unquantized FP16)
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## ⚠️ Important Limitations (Base Model vs. Chat Model)
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**This is a Base Model, not an Instruction-Tuned (Chat) Model.**
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Because it has not undergone Supervised Fine-Tuning (SFT), it is optimized for text completion, not interactive conversation.
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If you prompt it with a question, it may attempt to complete the document by writing more questions (acting like an FAQ page). To use it effectively for Q&A, you must format your prompts strictly and use stopping criteria (like regex or EOS tokens) to prevent looping and run-on generations.
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### Example Prompt Format:
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```text
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Question: කෘතිම බුද්ධිය (AI) යනු කුමක්දැයි සරලව පැහැදිලි කරන්න.
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Answer:
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```
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## 💻 How to Load in 4-bit (Google Colab / T4 GPU)
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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import torch
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bnb_config = BitsAndBytesConfig(
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load_in_4bit=True,
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bnb_4bit_use_double_quant=True,
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bnb_4bit_quant_type="nf4",
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bnb_4bit_compute_dtype=torch.float16
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)
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tokenizer = AutoTokenizer.from_pretrained("SAWithanage/SinLlama-Llama-3-8B-Merged")
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model = AutoModelForCausalLM.from_pretrained(
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"SAWithanage/SinLlama-Llama-3-8B-Merged",
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quantization_config=bnb_config,
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device_map="auto"
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)
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```
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config.json
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"rope_type": "default"
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}
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"model.layers.7.post_attention_layernorm.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00004-of-00009.safetensors",
|
||||
"model.norm.weight": "model-00009-of-00009.safetensors"
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:549f579ab85fa6f63fe7d9a4d9e62918011c35bebf45c6bb8000a6ae89a9a3d7
|
||||
size 19338079
|
||||
13
tokenizer_config.json
Normal file
13
tokenizer_config.json
Normal file
@@ -0,0 +1,13 @@
|
||||
{
|
||||
"backend": "tokenizers",
|
||||
"bos_token": "<|begin_of_text|>",
|
||||
"clean_up_tokenization_spaces": true,
|
||||
"eos_token": "<|end_of_text|>",
|
||||
"is_local": false,
|
||||
"model_input_names": [
|
||||
"input_ids",
|
||||
"attention_mask"
|
||||
],
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"tokenizer_class": "PreTrainedTokenizerFast"
|
||||
}
|
||||
Reference in New Issue
Block a user