DevopsEmbrace
qwen3_32B_embrace_sft256_e5_rank_256_merged_16bit
Dedicated Endpoints
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Container
Run this model inference with full control and performance in your environment.
Get help setting up a custom Dedicated Endpoints.
Talk with our engineer to get a quote for reserved GPU instances with discounts.
README
License: apache-2.0Uploaded finetuned model
- Developed by: DevopsEmbrace
- License: apache-2.0
- Finetuned from model : DevopsEmbrace/qwen3_32B_embrace_fullcpt_e5_baseline_merged_16bit
This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Model provider
DevopsEmbrace
Model tree
Base
DevopsEmbrace/qwen3_32B_embrace_fullcpt_e5_baseline_merged_16bit
Fine-tuned
this model
Modalities
Input
Text
Output
Text
Pricing
Dedicated Endpoints
View detailsSupported Functionality
Model APIs
Dedicated Endpoints
Container
More information