KL3M
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About
KL3M is a family of language models built on clean, high-quality, and legally compliant training data. It avoids copyright issues, breach of contract, synthetic data from other LLMs, and toxic sources. KL3M models have demonstrated best-in-class perplexity on legal domain data and excellent performance on general material. Models are already in use for tasks like drafting invoices, contracts, and SEC filings. Users can continue training KL3M, fine-tune it for conversational AI, or use it for specific tasks.
Platform
Keywords
Task
Features
• high-quality content
• no copyright issues
• no toxic sources
• no llm synthetic data
• no breach of contract
• clean provenance
• fairly trained
• can be used to continue training on your own content library, fine-tune for safe conversational ai, or fine-tune for specific tasks
FAQs
What kind of hardware do I need to run KL3M?
The first KL3M models have been designed with accessible use as a priority. kl3m-170 runs quickly on a MacBook Air M1, and kl3m-1.7b runs well on a $300 consumer GPU.
What architectures are your models?
Smaller KL3M models are trained using the GPT-NeoX architecture. Larger KL3M models are trained using the Mixtral Mixture-of-Experts architecture (trained from scratch).
How can I run KL3M?
KL3M is distributed as standard PyTorch model weights. KL3M architectures are supported for both HuggingFace transformers and vllm for inference.
Which languages are supported?
`kl3m-170m` and `kl3m-1.7b` have both been trained on a predominantly English-language content. Larger models include content in English, Spanish (es-ES and es-MX), French, and German. We are working on adding more languages.
Is it easy to fine-tune KL3M?
We have had excellent results fine-tuning KL3M on a number of use cases, including drafting, summarization, and classification. You can fine-tune kl3m-170 and kl3m-1.7b on consumer hardware.
How many tokens do you have?
We have collected over 2.5 trillion tokens of training data, and we are constantly adding more. Our training data is a mix of public domain and explicitly licensed content.
How many tokens have your models seen?
`kl3m-170m` and `kl3m-1.7b` have been trained on approximately 350B tokens of primarily English-language content. Larger models are being trained on between 500B to 1T tokens of content in English, Spanish, French, and German.
How do you pronounce KL3M?
As the 🍊 suggests, KL3M is pronounced like "Clem" or "Klem."
Why is it named KL3M?
KL3M was originally short for the Kelvin Legal Large Language Model, KLLLM. Because we're nerds, we shortened all those Ls to L cubed or L3, then shortened K-L3-M to KL3M.
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