Krutrim-cloud

Latest version: v0.6.1

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0.6.1

Fixes added for proper error handling

0.6.0

**New Feature:**

Added support of Fine tuning and Inference Services for LLMs

0.5.0

Support added & updated for models:

**Text to Video**: THUDM/CogVideoX-2b
- [Example](https://github.com/ola-krutrim/krutrim-cloud-python/blob/main/examples/models/CogVideoX_2b.py)

**Multimodal**:
Replaced Idefics2 with Idefics3 model

0.4.1

**Enhancement**: Added automatic version update after BYOM model deployment, enabling inference of deployed LLM models directly from the Deployment UI Playground.

0.4.0

**New Features:**

1. **Bring Your Own Model (BYOM) Support for Text-to-Text LLM Models**:

Users can now upload their custom model files to their dedicated Krutrim S3 bucket. This provides greater flexibility to integrate custom LLM models into the Krutrim cloud platform.

[Example Notebook](https://github.com/ola-krutrim/krutrim-cloud-python/blob/main/examples/bring_your_own_model/bring_your_own_model.ipynb)

2. **Model File Management:**

**List and Download Models:** Users can easily list and download model files stored in Krutrim S3 storage through the SDK, making model management more seamless.
**List Model Versions:** Users can list all versions of the models they have uploaded to Krutrim S3 storage, simplifying version tracking and management.

3. **Model Deployment:**

Users can deploy models uploaded to the Krutrim S3 bucket directly via the SDK, streamlining the deployment process for custom LLM models.

4. **Deployment Management:**

**List Deployments:** The SDK allows users to retrieve a list of all their deployments.
**Check Deployment Status:** Users can check the status of any deployment using the SDK to track progress or identify issues.
**Cancel Deployment:** If needed, users can cancel a specific deployment by providing the deployment ID, offering more control over model operations.

0.3.1

[Text-to-Text Model]
- Removed support of Reflection-Llama-3.1-70B as removed from Krutrim cloud

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