orca_mini_3B-GGML
Maintainer: TheBloke - Last updated 5/28/2024
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Model overview
The orca_mini_3B-GGML
is a GGML format model created by Pankaj Mathur and maintained by TheBloke. This model is based on the Orca Mini 3B, a language model designed for CPU and GPU inference using the llama.cpp library and compatible UIs. The GGML files provided offer a range of quantization options to optimize performance and memory usage across different hardware configurations.
Similar models maintained by TheBloke include the alpaca-lora-65B-GGML and the guanaco-33B-GGML, which provide quantized versions of the Alpaca Lora 65B and Guanaco 33B models, respectively.
Model inputs and outputs
Inputs
- Prompt: A natural language prompt that the model uses to generate a response.
Outputs
- Response: The model's generated natural language response to the provided prompt.
Capabilities
The orca_mini_3B-GGML
model is capable of generating human-like text based on the provided prompts. It can be used for a variety of text-to-text tasks, such as question answering, summarization, and creative writing. The model's performance can be fine-tuned by adjusting the quantization method and other parameters to balance accuracy, speed, and memory usage.
What can I use it for?
The orca_mini_3B-GGML
model can be used in a variety of applications that require natural language generation, such as chatbots, content creation tools, and language learning platforms. The GGML format files provided allow for efficient deployment on both CPU and GPU hardware, making the model accessible to a wide range of users and use cases.
Things to try
One interesting aspect of the orca_mini_3B-GGML
model is the range of quantization options available, which allow users to balance performance and memory usage based on their specific hardware and requirements. Experimenting with the different quantization methods, such as q2_K
, q3_K_M
, and q5_K_S
, can help users find the optimal configuration for their needs.
Additionally, the model's compatibility with a variety of UIs and libraries, including text-generation-webui, KoboldCpp, and llama-cpp-python, opens up opportunities for users to integrate the model into their own projects and workflows.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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