Evidence item
Moshier separates open-weight downloadable parameters from strict open source with training recipes. DIRECT_TEXT
Source: Open Weight vs Proprietary (vs Open Source) · locator {} · excerpt hash sha256:a4642d34822c7e75fd62c313130d0d96ab5315f1bceae5ce03b79d3a8c380789
Exact excerpt
Open weight: the trained parameters are downloadable. You can self-host, fine-tune, and run offline. Training data and training code are usually not released. Llama, Qwen, Mistral, DeepSeek. Open source (the strict sense): weights plus enough to recreate the model under a license granting the four freedoms (use, study, modify, share for any purpose).
Linked claims
| Claim | Direction | Relevance | Steps | Counted |
|---|---|---|---|---|
| e093c89d | QUALIFY | MODERATE | 0 | yes |
Audits
None.