Merge remote-tracking branch 'origin/main' into runners
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@@ -314,6 +314,12 @@ def convert_from_huggingface(weights: Dict[str, Tensor], model: Transformer, n_h
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def fix_bf16(weights: Dict[Any, Tensor]):
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if Device.DEFAULT == "CLANG":
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# TODO: without casting to float16, 70B llama OOM on tinybox.
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return {
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k: (v.llvm_bf16_cast(dtypes.float32).to(v.device) if v.dtype == dtypes.bfloat16 else v)
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for k, v in weights.items()
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}
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if getenv("SUPPORT_BF16", 1):
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# TODO: without casting to float16, 70B llama OOM on tinybox.
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return {k: v.cast(dtypes.float16) if v.dtype == dtypes.bfloat16 else v for k, v in weights.items()}
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@@ -17,7 +17,28 @@ model_cards = {
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"TinygradDynamicShardInferenceEngine": "unsloth/Llama-3.2-1B-Instruct",
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},
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},
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"llama-3.2-1b-8bit": {
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"layers": 16,
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"repo": {
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"MLXDynamicShardInferenceEngine": "mlx-community/Llama-3.2-1B-Instruct-8bit",
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"TinygradDynamicShardInferenceEngine": "unsloth/Llama-3.2-1B-Instruct",
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},
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},
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"llama-3.2-3b": {
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"layers": 28,
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"repo": {
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"MLXDynamicShardInferenceEngine": "mlx-community/Llama-3.2-3B-Instruct-4bit",
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"TinygradDynamicShardInferenceEngine": "unsloth/Llama-3.2-3B-Instruct",
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},
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},
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"llama-3.2-3b-8bit": {
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"layers": 28,
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"repo": {
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"MLXDynamicShardInferenceEngine": "mlx-community/Llama-3.2-3B-Instruct-8bit",
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"TinygradDynamicShardInferenceEngine": "unsloth/Llama-3.2-3B-Instruct",
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},
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},
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"llama-3.2-3b-bf16": {
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"layers": 28,
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"repo": {
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"MLXDynamicShardInferenceEngine": "mlx-community/Llama-3.2-3B-Instruct",
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@@ -94,7 +115,10 @@ model_cards = {
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pretty_name = {
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"llama-3.3-70b": "Llama 3.3 70B",
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"llama-3.2-1b": "Llama 3.2 1B",
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"llama-3.2-1b-8bit": "Llama 3.2 1B (8-bit)",
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"llama-3.2-3b": "Llama 3.2 3B",
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"llama-3.2-3b-8bit": "Llama 3.2 3B (8-bit)",
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"llama-3.2-3b-bf16": "Llama 3.2 3B (BF16)",
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"llama-3.1-8b": "Llama 3.1 8B",
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"llama-3.1-70b": "Llama 3.1 70B",
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"llama-3.1-70b-bf16": "Llama 3.1 70B (BF16)",
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