LLM Reference

DCLM 7B

Released
2024-07-15
Last refreshed
2026-05-19
Status
Researched 16d ago

DCLM 7B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 2k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
DCLM
Released
2024-07-15
Context
2k
Parameters
7B
Architecture
Decoder Only
Specialization
general
Training
finetuned
Created by

On-device AI prioritizes user privacy

Cupertino, California, United States
Founded 1976
Website
Pricing

No tracked provider token pricing is available yet.

About

DCLM 7B is Apple Machine Learning Research's DCLM model. It was released 2024-07-15.

DCLM 7B is a model in the DCLM family. The structured metadata tracks a 2k-token context window. No headline benchmark score is tracked for DCLM 7B yet.

Top use-case fit

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

Provider price ladder

No tracked provider token pricing is available 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.

Rankings & picks(5)