Codestral-22B-v0.1-GGUF
Maintainer: bartowski
137
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The Codestral-22B-v0.1-GGUF is a language model developed by bartowski and quantized using the llama.cpp framework. This 22B parameter model is an extension of the original Codestral-22B-v0.1 model, offering various quantized versions to suit different performance and storage requirements.
Model inputs and outputs
The Codestral-22B-v0.1-GGUF model is a text-to-text AI model, designed to take in textual prompts and generate relevant responses.
Inputs
- Textual prompts in a specific format:
<s> [INST] <<SYS>> {system_prompt} <</SYS>> {prompt} [/INST] </s>
Outputs
- Generated text responses based on the provided prompts
Capabilities
The Codestral-22B-v0.1-GGUF model is capable of performing a wide range of text generation tasks, such as natural language generation, question answering, and language translation. The model's performance can be fine-tuned by adjusting the quantization level, allowing users to balance quality, file size, and memory requirements.
What can I use it for?
The Codestral-22B-v0.1-GGUF model can be utilized in various applications that require advanced language understanding and generation, such as:
- Chatbots and virtual assistants
- Content creation and summarization
- Dialogue systems
- Language translation
- Personalized recommendation systems
Things to try
Experiment with different prompts and system prompts to explore the model's capabilities in tasks like creative writing, analytical reasoning, and task-oriented dialogue. Additionally, you can try different quantization levels to find the optimal balance between model performance and resource requirements for your specific use case.
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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