LLM Reference

DeciLM 7B

Released
2024-01-16
Last refreshed
2026-05-19
Status
Researched 105d ago
Open sourceCommercial use: permitted

DeciLM 7B is worth evaluating for general LLM work when its provider route and context window match the workload.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 8k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
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.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

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.