Molmo2 8B
Benchmark-only page (local)Molmo2 8B has no model page of its own yet — this page exists so its self-hosted GPU benchmark results have somewhere to live. See how it scores against every other model on Vision Evals.
- Family
- molmo2
- Architecture
- dense
- Quantizations
- BF16, FP8
- Weights on disk
- 13.8–34.6 GB
- Hugging Face
- allenai/Molmo2-8B
Self-hosted benchmarks
2 quantizations of Molmo2 8B, served with vLLM from the published weights and scored on the same tasks as the hosted models. Expand a row for the GPUs it was measured on.
Self-hosted rows run with thinking on, the same setting as the hosted frontier models. Rows marked with a run count are the mean of three runs per task under the benchmark protocol; the rest are single runs awaiting their re-run. Some hosted open-weight rows still run without thinking, so a self-hosted quant can score above its own hosted API. Quantization still costs a little precision, and scores vary between runs.