Apple
DCLM-Baseline-7B is a 7 billion parameter language model trained on the DCLM-Baseline dataset, which was curated as part of the DataComp for Language Models (DCLM) benchmark. This model is designed to showcase the effectiveness of systematic data curation techniques for improving language model performance.
Live access is not confirmed for this model. No current purchase price is advertised.
No current subscription pricing is tracked for this model.
Confirm this specific model, usage limits, and billing terms with the provider. A subscription does not automatically include API credits.
No login needed to compare. Prices are in USD; provider charges are separate from AI Market Cap plans. Context length, caching, tools, taxes, and regional terms can change the final cost. Open weights do not mean free hosting.
---
Quality Score
---
Arena ELO
7B
Parameters
---
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
12 of 22 public signals
Sign in to join the discussion
339
Downloads
834
Likes
Jul 2024
Released
4/5 signals
0/4 signals
2/5 signals
3/4 signals
3/4 signals
Parameters
7B
Training compute
1.1e23 FLOP
Dataset scale
2.5T units
Base model
Not reported
Source-reported access: Open weights (restricted use) · Confident confidence
Gaps we are still tracking
This section gives the plain-English basics first: what the model is, how large it is, how much context it can handle, and whether it is still actively supported.
This tells you how you can use the model in practice: whether weights are open, whether an API exists, and what kinds of input or output it supports.
Capabilities