SAVRN Model Hub · Comparisons
gpt2 vs macbert4csc-base-chinese
Gpt2 has 137M parameters and macbert4csc-base-chinese has 102M parameters; gpt2 is released under MIT License and macbert4csc-base-chinese under Apache License 2.0; at 16-bit, gpt2 needs about 0.3 GB (1x MI300X from $1.85 an hour) and macbert4csc-base-chinese about 0.2 GB (1x MI300X from $1.85 an hour).
| Field | gpt2 openai-community/gpt2 | macbert4csc-base-chinese shibing624/macbert4csc-base-chinese |
|---|---|---|
| Publisher | OpenAI community | Ming Xu (徐明) |
| Task | Text generation | Text generation |
| Modality | Text | Text |
| Parameters, as reported | 137M parameters | 102M parameters |
| Architecture | GPT2LMHeadModel | BertForMaskedLM |
| Library | transformers | transformers |
| Context length | Not stated | 512 tokens |
| Repository size | 5.6 GB | 1.3 GB |
| Artifact formats | safetensors, onnx, pytorch, tflite, jax, rust, tf | safetensors, onnx, pytorch |
| License | mit | apache-2.0 |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 0.3 GB | 0.2 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.1 GB | 0.1 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 607a30d783df | 615e6e09ef9a |
| Downloads reported by the hub | 15.4M | 543.5k |
| 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.
Questions
Which is larger, gpt2 or macbert4csc-base-chinese?
gpt2 (137M parameters) is larger than macbert4csc-base-chinese (102M parameters), by the parameter counts their publishers report.
Which is cheaper to run, gpt2 or macbert4csc-base-chinese?
At 4-bit, gpt2 fits on 1x MI300X from $1.85 an hour and macbert4csc-base-chinese on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use gpt2 commercially?
Yes. gpt2 is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.
Can I use macbert4csc-base-chinese commercially?
Yes. macbert4csc-base-chinese 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.