Make sure you already checked the examples and documentation before submitting an issue.
How would you like to use ModelOpt
# Disable KV Cache quantization
# Currently KV Cache quantization is enabled for some quantization formats and disabled for others
# This breaks the monotonicity of the quantization formats in terms of weight compression Vs accuracy
The reason for disabling key-value caching is that some recipes are enabled while others are disabled, thus breaking monotonicity. If the weighted recipes, batches, and sequence are fixed, is it possible to compare kv-cached recipes? In other words, to calculate the cost/score separately for the kv-cache.
Who can help?
Make sure you already checked the examples and documentation before submitting an issue.
How would you like to use ModelOpt
The reason for disabling key-value caching is that some recipes are enabled while others are disabled, thus breaking monotonicity. If the weighted recipes, batches, and sequence are fixed, is it possible to compare kv-cached recipes? In other words, to calculate the cost/score separately for the kv-cache.
Who can help?