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README.md

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+# Model description
+
+  LLAMA2-stablebeluga-Q4_0 GGML is a language model trained by Stability AI on top of Meta AI. This model is based on the original LLAMA-2, but with a couple of key changes. It has been converted to F32 before being quantized to 4 bits. These alterations make the model more efficient in terms of memory and computational requirements, without significantly compromising its language understanding and generation capabilities.
+
+# Intended uses & limitations
+
+## How to use
+
+  This model can be used with llama.cpp (or similar) for a variety of natural language understanding and generation tasks. These include, but are not limited to, text completion, text generation, conversation modeling, and semantic similarity estimation.
+
+## Limitations and bias
+  
+  While this model is designed to understand and generate human-like text, it has a few limitations:
+
+1. It might generate incorrect or nonsensical responses if the input prompt is ambiguous or lacks sufficient context.
+2. It is based on the data it was trained on and therefore might reflect the biases present in those data.
+3. Despite the conversion and quantization, this model might still require substantial computational resources for large-scale tasks.
+
+# Training data
+
+  LLAMA-2-Q4_0 GGML model was trained on the same data as the original LLAMA-2 by Stability AI (Stable Beluga). For more details, please refer to the Stable Beluga 2's model card.
+
+# Evaluations
+
+  The performance is similar to that of the original LLAMA2-stablebeluga, with a slight drop due to the quantization process. More specific evaluation results will be added as they become available.