Daniel TTY

Finetuning LLM

2

Any codes to fine tune the LLM on local device?

Second time and further finetuning

1

Let's say I have fine-tuned a base model with a certain dataset (running on Google colab). Now I would like to further fine tune it with my custom data. How...

Gradient checkpointing issue when running QLoRA finetuning

1

Finetuning the mpt-7b and mpt-30b using qlora gives the error "ValueError: MPTForCausalLM does not support gradient checkpointing.". Is there a way to fix this?

Redis connector

7

### 🚀 The feature Allow pandasai to connect to Redis and perform search over databases. ### Motivation, pitch Currently there are SQL connectors for pandasai, but Redis is also a...

### 🚀 The feature Not able to use Google VertexAI with these parameters: llm = GoogleVertexAI( project_id="some_location", location="us-central1", model="gemini-1.5-flash" ) with this error: ERROR:pandasai.helpers.logger:Pipeline failed on step 3: Unsupported model:...

Support for Gemini models via VertexAI?

4

### System Info import os import pandas as pd from pandasai import Agent from pandasai.llm import GoogleVertexAI ### 🐛 Describe the bug any update on this issue? I saw an...

TypeError: GenerationConfig.__init__() got an unexpected keyword argument 'response_schema'

2

## Expected Behavior run without error, as the code below is from vertexai documentation: https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/control-generated-output ## Actual Behavior returns the error : TypeError: GenerationConfig.__init__() got an unexpected keyword argument 'response_schema'...