SAVRN Model Hub · Comparisons
OLMo-2-0425-1B vs Qwen3-1.7B
OLMo-2-0425-1B has 1.5B parameters and Qwen3-1.7B has 2B parameters; both are released under Apache License 2.0; at 16-bit, OLMo-2-0425-1B needs about 3.6 GB (1x MI300X from $1.85 an hour) and Qwen3-1.7B about 4.9 GB (1x MI300X from $1.85 an hour).
| Field | OLMo-2-0425-1B allenai/OLMo-2-0425-1B | Qwen3-1.7B Qwen/Qwen3-1.7B |
|---|---|---|
| Publisher | Ai2 | Qwen |
| Task | Text generation | Text generation |
| Modality | Text | Text |
| Parameters, as reported | 1.5B parameters | 2B parameters |
| Architecture | Olmo2ForCausalLM | Qwen3ForCausalLM |
| Library | transformers | transformers |
| Context length | 4,096 tokens | 40,960 tokens |
| Repository size | 5.9 GB | 4.1 GB |
| Artifact formats | safetensors | safetensors |
| License | apache-2.0 | apache-2.0 |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 3.6 GB | 4.9 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.9 GB | 1.2 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | a1847dff3500 | 70d244cc86cc |
| Downloads reported by the hub | 794k | 3.8M |
| Last observed | 2026-09-18 | 2026-09-18 |
An evaluation row appears only where at least two of these models report the same benchmark with the same stated configuration, metric, unit and setup. Different evaluators stay named in each cell. Values are shown as reported: no unit conversion, no ranking.
SAVRN's Notes on OLMo-2-0425-1B
Three gigabytes at 16-bit, 1.8 GB at 8-bit, under a gigabyte at 4-bit. Those figures decide where Ai2's 1.5-billion-parameter text model lives in a facility, and the answer is almost anywhere. The cheapest configuration in our data is one MI300X with 192 GB at $1.85 an hour, a card that could hold dozens of copies. We would run it beside a larger model rather than on its own hardware, and the 4,096-token context suits short prompts and short answers.
Apache 2.0 permits commercial use, modification and redistribution, asks you to keep the notices and state significant changes, and carries an express patent grant. The paper trail is the draw: Ai2 released code, checkpoints, logs and training details, naming OLMo-mix-1124 for pretraining and Dolmino-mix-1124 for mid-training. Check that your stack runs transformers 4.48 or later, and note the weights ship in float32, so the 5.9 GB on disk halves at 16-bit.
SAVRN's Notes on Qwen3-1.7B
Where does a text generator with 2B parameters belong in a facility we run? On a card that is already busy. At 4-bit it needs 1.2 GB of memory; at 16-bit, nothing quantized, 4.9 GB. The cheapest listed setup is one MI300X with 192 GB at $1.85 an hour on-demand, so we treat a footprint this small as a tenant, not a workload: it rides beside bigger jobs and adds nothing to the hardware bill.
Apache 2.0 allows commercial use, modification and redistribution; keep the license and copyright notices, state significant changes, and a fine-tune can ship to customers. Context is 40,960 tokens, what it holds in one pass. This checkpoint is derived from Qwen3-1.7B-Base, so a team planning its own instruction tuning starts from the base. No Index host sells it by the token, so the card price is the only price.
Questions
Which is larger, OLMo-2-0425-1B or Qwen3-1.7B?
Qwen3-1.7B (2B parameters) is larger than OLMo-2-0425-1B (1.5B parameters), by the parameter counts their publishers report.
Which is cheaper to run, OLMo-2-0425-1B or Qwen3-1.7B?
At 4-bit, OLMo-2-0425-1B fits on 1x MI300X from $1.85 an hour and Qwen3-1.7B on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use OLMo-2-0425-1B commercially?
Yes. OLMo-2-0425-1B is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.
Can I use Qwen3-1.7B commercially?
Yes. Qwen3-1.7B is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.