DeciLM 7B

Released
2024-01-16
Last refreshed
2026-10-13
Status
Researched 150d ago
Open sourceCommercial use: permitted
Specifications
Family
DeciLM
Released
2024-01-16
Context
8K
Parameters
7B
Architecture
Decoder Only
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Automating neural architecture design

Tel Aviv, Israel
Founded 2019
Website
Pricing
Output / 1M
$0.670
Input / 1M
$0.520

Cheapest of 1 route · Microsoft Foundry

About

DeciLM-7B is a cutting-edge large language model developed by Deci AI, featuring 7.04 billion parameters. This model incorporates an advanced transformer decoder architecture, utilizing variable Grouped-Query Attention (GQA) to achieve high accuracy and efficiency. The architecture is fine-tuned using Deci's proprietary Neural Architecture Search technology, AutoNAC, for optimal performance. Capable of handling sequences of up to 8192 tokens, DeciLM-7B outperforms similar or larger models across various benchmarks. An instruction-tuned version, DeciLM-7B-instruct, further enhances its capabilities, especially for instruction-following tasks. It is released under the Apache 2.0 license, making it suitable for both commercial and research use.

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.