--- base_model: unsloth/gemma-4-E4B-it tags: - text-generation-inference - transformers - unsloth - gemma4 - gguf license: apache-2.0 language: - en datasets: - bitext/Bitext-customer-support-llm-chatbot-training-dataset --- # Uploaded finetuned model - **Developed by:** Prompt48 - **License:** apache-2.0 - **Finetuned from model :** unsloth/gemma-4-E4B-it This gemma4 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [](https://github.com/unslothai/unsloth) ## Training Dataset This model was fine-tuned on the [Bitext Customer Support LLM Chatbot Training Dataset](https://huggingface.co/datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset). - **Creator:** Bitext Innovations - **Dataset License:** CDLA-Sharing-1.0 - **Language:** English (en-US) - **Size:** 26,872 question/answer pairs (~1,000 per intent), 3.57 million total tokens - **Format:** Each sample contains: `flags`, `instruction`, `category`, `intent`, `response` The dataset covers **10 categories** and **27 intents** for customer support chatbot applications: ACCOUNT (create, delete, edit, switch), CANCELLATION_FEE, DELIVERY (options), FEEDBACK (complaint, review), INVOICE (check, get), NEWSLETTER (subscription), ORDER (cancel, change, place), PAYMENT (check methods, payment issue), REFUND (check policy, track), SHIPPING_ADDRESS (change, set up). It includes 12 linguistic variation tags capturing lexical, syntactic, register, and stylistic diversity, and 30 entity/slot placeholder types. Applicable across 20+ industry verticals (retail, banking, healthcare, travel, etc.). ## GGUF Quantizations | Filename | Quantization | Size | BPW | Description | |----------|-------------|------|-----|-------------| | `gemma-4-e4b-it-ft-IQ4_NL.gguf` | IQ4_NL | 4.9 GB | 5.53 | Good quality, recommended for most use cases | | `gemma-4-e4b-it-ft-IQ3_M.gguf` | IQ3_M | 4.4 GB | 5.00 | Smaller size, slightly reduced quality | | `gemma-4-e4b-it-ft-Q4_K_M.gguf` | Q4_K_M | 5.0 GB | 5.66 | K-quant medium, good balance of quality and size | ### Original Safetensors The original finetuned safetensors model files are also included in this repository. ### Source Quantized from [Prompt48/gemma-4-E4B-it-FT](https://huggingface.co/Prompt48/gemma-4-E4B-it-FT)