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prithivMLmods/
Llama-Doctor-3.2-3B-Instruct

Name: Llama-Doctor-3.2-3B-Instruct
Availability: InStock

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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.

prithivMLmods/Llama-Doctor-3.2-3B-Instruct

Llama-Doctor-3.2-3B-Instruct Modelfile

Key Use Cases:

Intended Applications:

prithivMLmods/
Llama-Doctor-3.2-3B-Instruct