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Llama-Doctor-3.2-3B-Instruct
prithivMLmods/Llama-Doctor-3.2-3B-Instruct
Llama-Doctor-3.2-3B-Instruct is a text generation model from prithivMLmods. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.2.
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-I…
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3.2B
12.9 GB on disk
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.safetensors6.4 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama3.2
- Model type
- llama
- Access
- Public
- Created
- Nov 16, 2024
- Updated
- Jul 10, 2025
- SHA
- 2eaa603e
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Base models
Datasets
Model card
From the Hugging Face model README
Llama-Doctor-3.2-3B-Instruct Modelfile
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 |
|---|---|---|---|
.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 |
|---|---|---|---|
| GGUF | 3B | - | 🤗 Llama-Doctor-3.2-3B-Instruct-GGUF |
Key Use Cases:
- Conversational AI: Engage in dialogue, answering questions, or providing responses based on user instructions.
- Text Generation: Generate content, summaries, explanations, or solutions to problems based on given prompts.
- Instruction Following: Understand and execute instructions, potentially in complex or specialized domains like medical, technical, or academic fields.
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.
Intended Applications:
- Chatbots for customer support or virtual assistants.
- Medical Consultation Tools for generating advice or answering medical queries (given its training on the chat_doctor dataset).
- Content Creation tools, helping generate text based on specific instructions.
- Problem-solving Assistants that offer explanations or answers to user queries, particularly in instructional contexts.
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama3.2
- Languages
- en
- Created
- Nov 16, 2024
- Updated
- Jul 10, 2025