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 | 3.1M |
| Last observed | 2026-09-18 | 2026-10-09 |
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
Two billion parameters, 4.9 GB at 16-bit, 1.2 GB at 4-bit: this is a tenant, not a workload. The cheapest listed setup — one MI300X at $1.85 an hour — is never sized for it; it rides in the spare memory of a card already earning its keep, and 3.2M downloads a month say most operators treat it that way. The 40,960-token context is the figure to design against: the page's 20% margin covers a short context, and a full window needs more than the 1.2 GB headline.
Apache 2.0 permits commercial use, modification and redistribution, with notices kept and changes stated. The listing derives this checkpoint from Qwen/Qwen3-1.7B-Base, so teams doing their own instruction tuning start from the base, not here. The weights are 4.1 GB of safetensors across 12 files, last updated July 2025. No Index host sells it by the token; at this footprint, none should — the card hour is the whole 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.