SAVRN Model Hub · Comparisons
OLMo-2-0425-1B vs Qwen2.5-1.5B-Instruct
OLMo-2-0425-1B has 1.5B parameters and Qwen2.5-1.5B-Instruct has 1.5B 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 Qwen2.5-1.5B-Instruct about 3.7 GB (1x MI300X from $1.85 an hour).
| Field | OLMo-2-0425-1B allenai/OLMo-2-0425-1B | Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct |
|---|---|---|
| Publisher | Ai2 | Qwen |
| Task | Text generation | Text generation |
| Modality | Text | Text |
| Parameters, as reported | 1.5B parameters | 1.5B parameters |
| Architecture | Olmo2ForCausalLM | Qwen2ForCausalLM |
| Library | transformers | transformers |
| Context length | 4,096 tokens | 32,768 tokens |
| Repository size | 5.9 GB | 3.1 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 | 3.7 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 | 0.9 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | a1847dff3500 | 989aa7980e4c |
| Downloads reported by the hub | 794k | 6.7M |
| 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 Qwen2.5-1.5B-Instruct
1.5B parameters, 3.7 GB at 16-bit, 0.9 GB at 4-bit, with 32,768 tokens of context: the smallest Qwen2.5 that still handles general instruction traffic, and one 192 GB MI300X at $1.85 an hour would carry more than fifty copies of the 16-bit footprint. Packing density, not capacity, is what sets your cost per instance. Downloads of 7.7M a month slot between the 0.5B's 8.7M and the 7B's 9.7M.
Apache 2.0 permits commercial use, fine-tuning and redistribution, notices kept. The single 3.1 GB safetensors file and weights dated September 2024 make this the cheapest credible substrate for domain tuning — the derived list runs to agriculture, health, fraud and code-infused community builds, several shipped as GGUF Q4_K_M and IQ3_XXS conversions. Search it before training your own; the license lets you ship whatever you fine-tune.
Questions
Which is larger, OLMo-2-0425-1B or Qwen2.5-1.5B-Instruct?
Qwen2.5-1.5B-Instruct (1.5B 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 Qwen2.5-1.5B-Instruct?
At 4-bit, OLMo-2-0425-1B fits on 1x MI300X from $1.85 an hour and Qwen2.5-1.5B-Instruct 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 Qwen2.5-1.5B-Instruct commercially?
Yes. Qwen2.5-1.5B-Instruct 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.