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DCLM 7B
About DCLM 7B
DCLM 7B is an AI model developed by Apple, in the language category, released in 2024, made available as an open-weights model with 7B params.
On this page you'll find DCLM 7B's full specifications, including 10 benchmark results. Review provider pricing and benchmark scores below, or compare DCLM 7B head-to-head with other language models.
Links
Run DCLM 7B locally — what to buy
Share this build ↗Sized to what DCLM 7B actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
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DCLM 7B benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| MMLU | general | 63.72% | few-shot-from-hf-readme |
| MMLU | general | 57.66% | 0-shot-from-hf-readme |
| ARC-Challenge | knowledge | 59.9 | from-hf-readme |
| ARC-Easy | knowledge | 82.2 | from-hf-readme |
| TriviaQA | knowledge | 52.7 | from-hf-readme |
| GSM8K | math | 2.5% | cot-from-hf-readme |
| GPQA Diamond | reasoning | 24.75% | diamond-from-hf-readme |
| HellaSwag | reasoning | 80.43 | from-hf-readme |
| PIQA | reasoning | 81.28 | from-hf-readme |
| Winogrande | reasoning | 72.69 | from-hf-readme |
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Frequently asked questions
What is DCLM 7B? ▶
DCLM 7B is an AI model developed by Apple, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created DCLM 7B? ▶
DCLM 7B was developed by Apple and released in 2024.
Is DCLM 7B open source or proprietary? ▶
DCLM 7B ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does DCLM 7B cost? ▶
Pricing for DCLM 7B depends on the provider. See the providers table on this page for the latest API rates.
How does DCLM 7B perform on benchmarks? ▶
DCLM 7B is benchmarked across 10 evaluations on GenAIList, including MMLU (63.72%). See the full benchmark table below and compare it with other models.
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