LLM Reference

DeciLM Models by Deci AI

2 models2024Up to 8k ctxFrom $0.52/1M input

About

The DeciLM family of large language models, developed by Deci, specializes in AI-driven innovations for enhancing AI capabilities. These models are particularly renowned for their efficiency and accuracy, especially in the 6 and 7 billion parameter range 1512. The DeciLM-7B model is a prime example, excelling in speed and accuracy, even outperforming some models with greater parameters 25. Utilizing Deci’s AutoNAC technology and Grouped-Query Attention, these models are optimized for precision and computational efficiency 18. The availability of an "instruct" iteration, DeciLM-7B-instruct, further enhances instruction handling 3. Under the Apache 2.0 license, the DeciLM models are accessible for diverse applications, benefiting from the speed enhancements offered by the Infery-LLM inference engine 2.

Current Variants

Use-when guidance is derived from seed capabilities, context, release, and replacement fields.

2 in view
DeciLM 7BCurrent

Use when the workload needs 8k context and 7B parameters.

2024-018k context7B parameters
DeciLM 6BCurrent

Use when the workload needs 4k context and 6B parameters.

2024-014k context6B parameters

Release Timeline

1 release group
2024-01
2 current
DeciLM 6B
4k context6B parameters
Current
DeciLM 7B
8k context7B parameters
Current

Specifications(2 models)

DeciLM model specifications comparison
ModelReleasedContextParameters
DeciLM 7B2024-018k7B
DeciLM 6B2024-014k6B

Available From(1 provider)

Pricing

DeciLM model pricing by provider
ModelProviderInput / 1MOutput / 1MType
DeciLM 7BMicrosoft Foundry$0.52$0.67Provisioned

Frequently Asked Questions

What is DeciLM used for?
DeciLM is used for coding. The family description and listed model capabilities point to those workloads as the best fit.
How does DeciLM compare to DeciCoder?
DeciLM by Deci AI is strongest where you need coding, while DeciCoder by Deci AI is the closest related family to check for coding. DeciLM has 2 listed variants and reaches up to 8k context, while DeciCoder reaches up to 4k context, so compare the specs and pricing tables before choosing a production model.
Which DeciLM model should I use?
For the lowest listed input price, start with DeciLM 7B through Microsoft Foundry at $0.52/1M input tokens. For the most capable/latest local choice, evaluate DeciLM 7B with 8k context.

Models(2)