Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
Japanese
Size:
10M - 100M
License:
Move Lambda support section to card footer
Browse files
README.md
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# lambda-corpus
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## Support Lambda
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[Lambda](https://github.com/KeisukeMiyamoto1324/lambda) is a project developed by a student to build small Japanese language models from scratch. The datasets, source code, and model weights are publicly available.
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Training language models is very expensive, and I have funded the project with income from my part-time job. As the models grow, the cost is becoming too high for me to maintain the current development pace.
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You can support Lambda in two ways: use the Vast.ai referral link when purchasing GPU credits or make a donation through Ko-fi. Thank you for helping Lambda continue to grow.
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### PR: vast.ai
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Vast.ai is a GPU cloud platform that lets you rent powerful GPUs from providers around the world. It is often more affordable than major cloud providers, with **NVIDIA H100 SXM GPUs available from around $1.54 per hour**. Check out Vast.ai for a lower-cost way to train language models.
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When you sign up and purchase credits through the link below, I receive GPU credits equal to 3% of your purchase. This does not reduce your credits or add any extra cost. Using this link directly supports the development of Lambda.
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Link: https://cloud.vast.ai/?ref_id=521936
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### Donate
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You can support the project with a donation starting from $5 through Ko-fi. Your support helps cover GPU costs and allows me to continue developing larger models.
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Link: https://ko-fi.com/lambda_llm
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lambda-corpus is a Japanese text corpus for language model pretraining. It combines openly available Japanese datasets into a consistent format and provides predefined train, validation, and test splits.
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## Purpose
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dataset = load_dataset("KeisukeMiyamoto/lambda-corpus")
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print(dataset["train"][0])
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```
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# lambda-corpus
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lambda-corpus is a Japanese text corpus for language model pretraining. It combines openly available Japanese datasets into a consistent format and provides predefined train, validation, and test splits.
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## Purpose
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dataset = load_dataset("KeisukeMiyamoto/lambda-corpus")
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print(dataset["train"][0])
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```
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---
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## Support Lambda
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[Lambda](https://github.com/KeisukeMiyamoto1324/lambda) is a project developed by a student to build small Japanese language models from scratch. The datasets, source code, and model weights are publicly available.
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+
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Training language models is very expensive, and I have funded the project with income from my part-time job. As the models grow, the cost is becoming too high for me to maintain the current development pace.
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You can support Lambda in two ways: use the Vast.ai referral link when purchasing GPU credits or make a donation through Ko-fi. Thank you for helping Lambda continue to grow.
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### PR: vast.ai
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Vast.ai is a GPU cloud platform that lets you rent powerful GPUs from providers around the world. It is often more affordable than major cloud providers, with **NVIDIA H100 SXM GPUs available from around $1.54 per hour**. Check out Vast.ai for a lower-cost way to train language models.
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+
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When you sign up and purchase credits through the link below, I receive GPU credits equal to 3% of your purchase. This does not reduce your credits or add any extra cost. Using this link directly supports the development of Lambda.
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Link: https://cloud.vast.ai/?ref_id=521936
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### Donate
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You can support the project with a donation starting from $5 through Ko-fi. Your support helps cover GPU costs and allows me to continue developing larger models.
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Link: https://ko-fi.com/lambda_llm
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