MaziyarPanahi/Calme-7B-Instruct-v0.9
MaziyarPanahi/Calme-7B-Instruct-v0.9 is a 7 billion parameter instruction-tuned language model, fine-tuned by MaziyarPanahi on high-quality datasets, building upon the Mistral-7B architecture. This model is designed to generate text with notable clarity, calmness, and coherence, making it suitable for applications requiring precise and well-structured responses. It supports a context length of 8192 tokens and is also available in various GGUF quantized formats for broader accessibility on commodity hardware.
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Model Overview
Calme-7B-Instruct-v0.9 is a 7 billion parameter instruction-tuned language model developed by MaziyarPanahi. It is built on the Mistral-7B architecture and has been fine-tuned using high-quality datasets to enhance its text generation capabilities. A key characteristic of this model is its ability to produce text that is clear, calm, and coherent, aiming for high-quality, well-structured outputs.
Key Capabilities
- Instruction Following: Designed to respond effectively to user instructions.
- Coherent Text Generation: Excels in generating text with clarity and logical flow.
- Multilingual Support: Demonstrated with examples in French and Ukrainian, indicating potential for diverse language applications.
- Accessibility: Available in various GGUF quantized formats (2-bit to 8-bit) to facilitate deployment on commodity hardware without specialized accelerators.
Good For
- Applications requiring calm, clear, and coherent textual responses.
- Instruction-based tasks where precise and well-structured output is critical.
- Users looking for an accessible 7B model that can run on standard personal computers due to its GGUF quantization.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.