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rm ministral-8b

Alex Cheema 6 달 전
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      exo/models.py

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exo/models.py

@@ -32,7 +32,6 @@ model_base_shards = {
   ### mistral
   "mistral-nemo": {"MLXDynamicShardInferenceEngine": Shard(model_id="mlx-community/Mistral-Nemo-Instruct-2407-4bit", start_layer=0, end_layer=0, n_layers=40),},
   "mistral-large": {"MLXDynamicShardInferenceEngine": Shard(model_id="mlx-community/Mistral-Large-Instruct-2407-4bit", start_layer=0, end_layer=0, n_layers=88),},
-  "ministral-8b": {"MLXDynamicShardInferenceEngine": Shard(model_id="mlx-community/Ministral-8B-Instruct-2410-4bit", start_layer=0, end_layer=0, n_layers=32),},
   ### deepseek
   "deepseek-coder-v2-lite": {"MLXDynamicShardInferenceEngine": Shard(model_id="mlx-community/DeepSeek-Coder-V2-Lite-Instruct-4bit-mlx", start_layer=0, end_layer=0, n_layers=27),},
   "deepseek-coder-v2.5": {"MLXDynamicShardInferenceEngine": Shard(model_id="mlx-community/DeepSeek-V2.5-MLX-AQ4_1_64", start_layer=0, end_layer=0, n_layers=60),},