VTSNLP/Llama3-ViettelSolutions-8B

Model Information

Model Details

Model Description

Llama3-ViettelSolutions-8B is a variant of the Meta Llama-3-8B model, continued pre-trained on the Vietnamese curated dataset and supervised fine-tuned on 5 million samples of Vietnamese instruct data.

• Developed by: Viettel SolutionsSolutions
• Funded by: NVIDIA
• Model type: Autoregressive transformer model
• Language(s) (NLP): Vietnamese, English
• License: Llama 3 Community License
• Finetuned from model: meta-llama/Meta-Llama-3-8B

Uses

Example snippet for usage with Transformers:

import transformers
import torch

model_id = "VTSNLP/Llama3-ViettelSolutions-8B"

pipeline = transformers.pipeline(
    "text-generation", model=model_id, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto"
)
pipeline("Xin chào!")

Training Details

Training Data

• Dataset for continue pretrain: Vietnamese curated dataset

• Dataset for supervised fine-tuning: Instruct general dataset

Training Procedure

Preprocessing

[More Information Needed]

Training Hyperparameters

• Training regime: bf16 mixed precision
• Data sequence length: 8192
• Tensor model parallel size: 4
• Pipelinemodel parallel size: 1
• Context parallel size: 1
• Micro batch size: 1
• Global batch size: 512

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

[More Information Needed]

Technical Specifications

• Compute Infrastructure: NVIDIA DGX

• Hardware: 4 x A100 80GB

• Software: NeMo Framework

Citation

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

More Information

[More Information Needed]

Model Card Authors

[More Information Needed]

Model Card Contact

[More Information Needed]