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Text Generation Cook with it's GGUF
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38 items
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Updated
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8
The Llama-Doctor-3.2-3B-Instruct model is designed for text generation tasks, particularly in contexts where instruction-following capabilities are needed. This model is a fine-tuned version of the base Llama-3.2-3B-Instruct model and is optimized for understanding and responding to user-provided instructions or prompts. The model has been trained on a specialized dataset, avaliev/chat_doctor, to enhance its performance in providing conversational or advisory responses, especially in medical or technical fields.
File Name { Chat Doctor } | Size | Description | Upload Status |
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.gitattributes |
1.57 kB | Git attributes file | Uploaded |
README.md |
263 Bytes | README file | Uploaded |
config.json |
1.03 kB | Model configuration | Uploaded |
generation_config.json |
248 Bytes | Generation configuration | Uploaded |
pytorch_model-00001-of-00002.bin |
4.97 GB | PyTorch model file (part 1 of 2) | Uploaded (LFS) |
pytorch_model-00002-of-00002.bin |
1.46 GB | PyTorch model file (part 2 of 2) | Uploaded (LFS) |
pytorch_model.bin.index.json |
21.2 kB | Index for PyTorch model | Uploaded |
special_tokens_map.json |
477 Bytes | Special tokens map | Uploaded |
tokenizer.json |
17.2 MB | Tokenizer file | Uploaded (LFS) |
tokenizer_config.json |
57.4 kB | Tokenizer configuration | Uploaded |
Model Type | Size | Context Length | Link |
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GGUF | 3B | - | 🤗 Llama-Doctor-3.2-3B-Instruct-GGUF |
The model leverages a PyTorch-based architecture and comes with various files such as configuration files, tokenizer files, and special tokens maps to facilitate smooth deployment and interaction.