| { |
| "model_name": "JevEmbed-Qwen3-Embedding-0.6B", |
| "base_model": "Qwen/Qwen3-Embedding-0.6B", |
| "base_model_sha256": "0437e45c94563b09e13cb7a64478fc406947a93cb34a7e05870fc8dcd48e23fd", |
| "adapter_sha256": "f75992447af7d137b81f253cfc3f7a59d2af0a585274b7b3fe127b3eb41f5546", |
| "merged_model_sha256": "d3e90fdeb21415b57f474d5ac24b9c9f557c538d54e28b651f8ce637c42f4032", |
| "format": "standalone Sentence Transformers model with merged LoRA weights", |
| "embedding_dimension": 1024, |
| "training_step": 3128, |
| "tested_prompt_count": 5, |
| "in_memory_merge": { |
| "max_absolute_difference": 6.891787052154541e-07, |
| "minimum_cosine": 1.0 |
| }, |
| "saved_model_reload": { |
| "max_absolute_difference": 6.891787052154541e-07, |
| "minimum_cosine": 1.0 |
| }, |
| "base_vs_lora_max_absolute_difference": 0.14514517784118652, |
| "versions": { |
| "torch": "2.8.0+cu129" |
| } |
| } |
|
|
