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README.md CHANGED
@@ -68,6 +68,11 @@ Unquantized components formatted for direct instantiation inside the PyTorch `tr
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  * **`hf/tokenizer_config.json`**: Enforced metadata linking `LlamaTokenizer` classes to guarantee correct handling of prefix spacing and automatic `<s>` (BOS) injection.
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  * **`hf/special_tokens_map.json`**: Structural map linking special tokens (`<s>`=1, `</s>`=2, `<unk>`=0, `<pad>`=2).
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  ---
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  ## 🎯 Purpose & Design Philosophy (Verification Targets)
 
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  * **`hf/tokenizer_config.json`**: Enforced metadata linking `LlamaTokenizer` classes to guarantee correct handling of prefix spacing and automatic `<s>` (BOS) injection.
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  * **`hf/special_tokens_map.json`**: Structural map linking special tokens (`<s>`=1, `</s>`=2, `<unk>`=0, `<pad>`=2).
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+ * **`./hf/`** : **Float32 (FP32) Master Subfolder.** The unquantized baseline precision weights. Highly recommended for initializing custom floating-point matrix operations without rounding loss.
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+ * **`./hf.bf16/`** : **Bfloat16 (BF16) Subfolder.** Optimized for modern hardware acceleration structures (such as Ampere/Hopper Tensor Cores or Intel Arc/Gaudi frames) to examine native 16-bit brain floating-point pipelines.
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+ * **`./hf.fp16/`** : **Float16 (FP16) Subfolder.** Ideal for standard 16-bit half-precision parallel math routines and performance evaluation profiles.
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+ * **`./hf.fp64/`** : **Float64 (FP64 / Double) Subfolder.** Retains ultra-high mathematical double precision parameters. Designed to strictly isolate hardware-level execution bugs from system accumulation errors.
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+
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  ---
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  ## 🎯 Purpose & Design Philosophy (Verification Targets)
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