| base_model: | |
| - google/gemma-3-4b-it | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - gemma-3 | |
| license: apache-2.0 | |
| language: | |
| - en | |
| pipeline_tag: text-generation | |
| ## Model Information | |
| This is a fined tuned variant model of the Gemma-3 family with 4 billion parameters. | |
| ### Description | |
| Gemma is a family of lightweight, state-of-the-art open models from Google. | |
| Gemma 3 models can process text and generate text output.Gemma 3 has a large, 128K | |
| context window, multilingual support in over 140 languages. Gemma 3 models are well-suited for a variety of text generation | |
| tasks, including question answering, summarization, and reasoning. | |
| ### Inputs and outputs | |
| - **Input:** | |
| - Text string, such as a question, a prompt, or a document to be summarized | |
| - Total input context of 128K tokens for the 4B. | |
| - **Output:** | |
| - Generated text in response to the input, such as an answer to a | |
| question or a summary of a document | |
| - Total output context of 8192 tokens | |
| # Finetuned model | |
| - **Author :** Anand Dey | |
| - **License:** apache-2.0 | |
| - **Finetuned from model :** google/gemma-3-4b-it | |
| - **Finetuned on custom prepared dataset |