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@@ -19,3 +19,4 @@ qdrant/ | |
.qdrant-initialized | ||
run.bat | ||
node_modules/ | ||
.vscode/ |
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[model] | ||
path = "assets/models/RWKV-4-World-CHNtuned-3B-v1-20230625-ctx4096.st" # Path to the model. | ||
quant = [] # Layers to be quantized. | ||
token_chunk_size = 32 # Size of token chunk that is inferred at once. For high end GPUs, this could be 64 or 128 (faster). | ||
head_chunk_size = 8192 # DO NOT modify this if you don't know what you are doing. | ||
max_runtime_batch = 8 # The maximum batches that can be scheduled for inference at the same time. | ||
max_batch = 2 # The maximum batches that are cached on GPU. | ||
embed_layer = 2 # The (reversed) layer number whose output is used as embedding. | ||
path = "assets/models/RWKV-4-World-0.4B-v1-20230529-ctx4096.st" # Path to the model. | ||
quant = [] # Layers to be quantized. | ||
token_chunk_size = 32 # Size of token chunk that is inferred at once. For high end GPUs, this could be 64 or 128 (faster). | ||
head_chunk_size = 8192 # DO NOT modify this if you don't know what you are doing. | ||
max_runtime_batch = 8 # The maximum batches that can be scheduled for inference at the same time. | ||
max_batch = 2 # The maximum batches that are cached on GPU. | ||
embed_layer = 2 # The (reversed) layer number whose output is used as embedding. |