diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/TauNNIdHW.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/TauNNIdHW.h
index 32727311dc56f..9cee64e216e95 100644
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/TauNNIdHW.h
+++ b/L1Trigger/Phase2L1ParticleFlow/interface/taus/TauNNIdHW.h
@@ -3,9 +3,11 @@
 
 #include <cstdio>
 #include <complex>
+#include <memory>
 
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/tau_parameters.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/defines.h"
+#include "ap_fixed.h"
+#include "ap_int.h"
+#include "hls4ml/emulator.h"
 
 #include "DataFormats/L1TParticleFlow/interface/layer1_emulator.h"
 #include "DataFormats/L1TParticleFlow/interface/PFCandidate.h"
@@ -13,13 +15,15 @@
 typedef ap_ufixed<16, 14> pt_t;
 typedef ap_fixed<10, 4> etaphi_t;
 
-// Tau NN returns two values
-struct Tau_NN_Result {
-  result_t nn_pt_correction;
-  result_t nn_id;
-};
-
 namespace L1TauEmu {
+  // Input/output precision of the NNPuppiTauModel hls4ml network, matching the
+  // model's defines.h (kept here since the weights/layer code now live in the
+  // externally-built NNPuppiTauModel package, not in-tree). Named distinctively
+  // (not input_t/result_t) and namespaced to avoid clashing with the generic
+  // typedefs other hls4ml model headers define at global scope.
+  typedef ap_fixed<16, 10> tauinput_t;
+  typedef ap_fixed<16, 6> tauresult_t;
+
   // Data types and constants used in the FPGA and FPGA-optimized functions
   //etaphi_base maps physical eta phi units onto bits
   //This way, the least significant bit of etaphi_t is exactly 0.01
@@ -132,14 +136,20 @@ namespace L1TauEmu {
 
 };  // namespace L1TauEmu
 
+// Tau NN returns two values
+struct Tau_NN_Result {
+  L1TauEmu::tauresult_t nn_pt_correction;
+  L1TauEmu::tauresult_t nn_id;
+};
+
 class TauNNIdHW {
 public:
-  TauNNIdHW();
-  ~TauNNIdHW();
+  TauNNIdHW(const std::shared_ptr<hls4mlEmulator::Model> model);
+  ~TauNNIdHW() = default;
 
   void initialize(const std::string &iName, int iNParticles);
   void SetNNVectorVar();
-  input_t *NNVectorVar() { return NNvectorVar_.data(); }
+  L1TauEmu::tauinput_t *NNVectorVar() { return NNvectorVar_.data(); }
   Tau_NN_Result EvaluateNN();
   Tau_NN_Result compute(const l1t::PFCandidate &iSeed, std::vector<l1t::PFCandidate> &iParts);
   //void print();
@@ -153,7 +163,8 @@ class TauNNIdHW {
   //FILE *file_;
 
 private:
-  std::vector<input_t> NNvectorVar_;
+  std::vector<L1TauEmu::tauinput_t> NNvectorVar_;
+  std::shared_ptr<hls4mlEmulator::Model> modelRef_;
 };
 
 #endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/defines.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/defines.h
deleted file mode 100644
index 54ff10fbbd651..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/defines.h
+++ /dev/null
@@ -1,70 +0,0 @@
-#ifndef DEFINES_H_
-#define DEFINES_H_
-
-#include "ap_fixed.h"
-#include "ap_int.h"
-
-#include <cstddef>
-#include <cstdio>
-
-// hls-fpga-machine-learning insert numbers
-#define N_INPUT_1_1 80
-#define N_LAYER_2 25
-#define N_LAYER_2 25
-#define N_LAYER_5 25
-#define N_LAYER_5 25
-#define N_LAYER_8 15
-#define N_LAYER_8 15
-#define N_LAYER_11 15
-#define N_LAYER_11 15
-#define N_LAYER_14 10
-#define N_LAYER_14 10
-#define N_LAYER_17 1
-#define N_LAYER_17 1
-#define N_LAYER_20 1
-
-// hls-fpga-machine-learning insert layer-precision
-typedef ap_fixed<16, 10> input_t;
-typedef ap_fixed<24, 12> input2_t;
-typedef ap_fixed<16, 6> model_default_t;
-typedef ap_fixed<16, 6> layer2_t;
-typedef ap_fixed<9, 3> weight2_t;
-typedef ap_fixed<9, 3> bias2_t;
-typedef ap_uint<1> layer2_index;
-typedef ap_ufixed<9, 0, AP_RND_CONV, AP_SAT> layer4_t;
-typedef ap_fixed<18, 8> relu_1_table_t;
-typedef ap_fixed<16, 6> layer5_t;
-typedef ap_fixed<9, 3> weight5_t;
-typedef ap_fixed<9, 3> bias5_t;
-typedef ap_uint<1> layer5_index;
-typedef ap_ufixed<9, 0, AP_RND_CONV, AP_SAT> layer7_t;
-typedef ap_fixed<18, 8> relu_2_table_t;
-typedef ap_fixed<16, 6> layer8_t;
-typedef ap_fixed<9, 3> weight8_t;
-typedef ap_fixed<9, 3> bias8_t;
-typedef ap_uint<1> layer8_index;
-typedef ap_ufixed<9, 0, AP_RND_CONV, AP_SAT> layer10_t;
-typedef ap_fixed<18, 8> relu_3_table_t;
-typedef ap_fixed<16, 6> layer11_t;
-typedef ap_fixed<9, 3> weight11_t;
-typedef ap_fixed<9, 3> bias11_t;
-typedef ap_uint<1> layer11_index;
-typedef ap_ufixed<9, 0, AP_RND_CONV, AP_SAT> layer13_t;
-typedef ap_fixed<18, 8> relu_4_table_t;
-typedef ap_fixed<16, 6> layer14_t;
-typedef ap_fixed<9, 3> weight14_t;
-typedef ap_fixed<9, 3> bias14_t;
-typedef ap_uint<1> layer14_index;
-typedef ap_ufixed<9, 0, AP_RND_CONV, AP_SAT> layer16_t;
-typedef ap_fixed<18, 8> relu_5_table_t;
-typedef ap_fixed<16, 6> layer17_t;
-typedef ap_fixed<16, 7> weight17_t;
-typedef ap_fixed<16, 7> bias17_t;
-typedef ap_uint<1> layer17_index;
-typedef ap_fixed<16, 6> result_t;
-typedef ap_fixed<18, 8> jetID_output_table_t;
-typedef ap_fixed<16, 7> weight20_t;
-typedef ap_fixed<16, 7> bias20_t;
-typedef ap_uint<1> layer20_index;
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/nnet_utils/nnet_activation.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/nnet_utils/nnet_activation.h
deleted file mode 100644
index e5413aedf5fc5..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/nnet_utils/nnet_activation.h
+++ /dev/null
@@ -1,94 +0,0 @@
-#ifndef NNET_ACTIVATION_H_
-#define NNET_ACTIVATION_H_
-
-#include <cmath>
-#include "ap_fixed.h"
-#include "nnet_common.h"
-
-namespace nnet {
-
-  struct activ_config {
-    // IO size
-    static const unsigned n_in = 10;
-
-    // Internal info
-    static const unsigned table_size = 1024;
-
-    // Resource reuse info
-    static const unsigned io_type = io_parallel;
-    static const unsigned reuse_factor = 1;
-
-    // Internal data type definitions
-    typedef ap_fixed<18, 8> table_t;
-  };
-
-  // *************************************************
-  //       LINEAR Activation -- See Issue 53
-  // *************************************************
-  template <class data_T, class res_T, typename CONFIG_T>
-  void linear(data_T data[CONFIG_T::n_in], res_T res[CONFIG_T::n_in]) {
-    for (unsigned ii = 0; ii < CONFIG_T::n_in; ii++) {
-      res[ii] = data[ii];
-    }
-  }
-
-  // *************************************************
-  //       RELU Activation
-  // *************************************************
-  template <class data_T, class res_T, typename CONFIG_T>
-  void relu(data_T data[CONFIG_T::n_in], res_T res[CONFIG_T::n_in]) {
-    data_T datareg;
-    for (unsigned ii = 0; ii < CONFIG_T::n_in; ii++) {
-      datareg = data[ii];
-      if (datareg > 0)
-        res[ii] = datareg;
-      else
-        res[ii] = 0;
-    }
-  }
-
-  // *************************************************
-  //       Sigmoid Activation
-  // *************************************************
-  template <class out_T>
-  inline out_T sigmoid_fcn_float(float input) {
-    return 1.0 / (1 + exp(-input));
-  }
-
-  template <class res_T, typename CONFIG_T, int N_TABLE>
-  void init_sigmoid_table(res_T table_out[N_TABLE]) {
-    // Default logistic sigmoid function:
-    //   result = 1/(1+e^(-x))
-    for (unsigned ii = 0; ii < N_TABLE; ii++) {
-      // First, convert from table index to X-value (signed 8-bit, range -8 to +8)
-      float in_val = 2 * 8.0 * (ii - float(N_TABLE) / 2.0) / float(N_TABLE);
-      // Next, compute lookup table function
-      res_T real_val = sigmoid_fcn_float<res_T>(in_val);
-      //std::cout << "Lookup table In Value: " << in_val << " Result: " << real_val << std::endl;
-      table_out[ii] = (res_T)real_val;
-    }
-  }
-
-  template <class data_T, class res_T, typename CONFIG_T>
-  void sigmoid(data_T data[CONFIG_T::n_in], res_T res[CONFIG_T::n_in]) {
-    // Initialize the lookup table
-    res_T sigmoid_table[CONFIG_T::table_size];
-    init_sigmoid_table<res_T, CONFIG_T, CONFIG_T::table_size>(sigmoid_table);
-
-    // Index into the lookup table based on data
-    int data_round;
-    unsigned index;
-    for (unsigned ii = 0; ii < CONFIG_T::n_in; ii++) {
-      data_round = data[ii] * CONFIG_T::table_size / 16;
-      index = data_round + 8 * CONFIG_T::table_size / 16;
-      /*if (index < 0)
-        index = 0;*/
-      if (index > CONFIG_T::table_size - 1)
-        index = CONFIG_T::table_size - 1;
-      res[ii] = (res_T)sigmoid_table[index];
-    }
-  }
-
-}  // namespace nnet
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/nnet_utils/nnet_common.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/nnet_utils/nnet_common.h
deleted file mode 100644
index 8441cca4412c2..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/nnet_utils/nnet_common.h
+++ /dev/null
@@ -1,52 +0,0 @@
-#ifndef NNET_COMMON_H_
-#define NNET_COMMON_H_
-
-#include "ap_fixed.h"
-
-// This is a substitute for "ceil(n/(float)d)".
-#define DIV_ROUNDUP(n, d) ((n + d - 1) / d)
-#define MIN(n, d) (n > d ? d : n)
-#define MAX(n, d) (n > d ? n : d)
-
-#define STRINGIFY(x) #x
-#define EXPAND_STRING(x) STRINGIFY(x)
-
-namespace nnet {
-
-  // Common type definitions
-  enum io_type { io_parallel = 0, io_stream };
-  enum strategy { latency, resource };
-
-  template <class T>
-  class Op_add {
-  public:
-    T operator()(T a, T b) { return a + b; }
-  };
-
-  template <class T>
-  class Op_and {
-  public:
-    T operator()(T a, T b) { return a && b; }
-  };
-
-  template <class T>
-  class Op_or {
-  public:
-    T operator()(T a, T b) { return a || b; }
-  };
-
-  template <class T>
-  class Op_max {
-  public:
-    T operator()(T a, T b) { return a >= b ? a : b; }
-  };
-
-  template <class T>
-  class Op_min {
-  public:
-    T operator()(T a, T b) { return a <= b ? a : b; }
-  };
-
-}  // namespace nnet
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/nnet_utils/nnet_dense.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/nnet_utils/nnet_dense.h
deleted file mode 100644
index 22edbcbf501bd..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/nnet_utils/nnet_dense.h
+++ /dev/null
@@ -1,72 +0,0 @@
-#ifndef NNET_DENSE_H_
-#define NNET_DENSE_H_
-
-#include "nnet_common.h"
-#include "nnet_mult.h"
-#include <math.h>
-
-namespace nnet {
-
-  struct dense_config {
-    // Internal data type definitions
-    typedef float bias_t;
-    typedef float weight_t;
-    typedef float accum_t;
-
-    // Layer Sizes
-    static const unsigned n_in = 10;
-    static const unsigned n_out = 10;
-
-    // Resource reuse info
-    int io_type = io_parallel;
-    int strategy = latency;
-    int reuse_factor = 1;
-    static const bool store_weights_in_bram = false;
-    int n_zeros = 0;
-    // partitioning arrays cyclically to go with roll factors?
-    // Product function to use
-    template <class x_T, class y_T>
-    using product = nnet::product::mult<x_T, y_T>;
-  };
-
-  template <class data_T, class res_T, typename CONFIG_T>
-  void dense(data_T data[CONFIG_T::n_in],
-             res_T res[CONFIG_T::n_out],
-             typename CONFIG_T::weight_t weights[CONFIG_T::n_in * CONFIG_T::n_out],
-             typename CONFIG_T::bias_t biases[CONFIG_T::n_out]) {
-    data_T cache;
-    typename CONFIG_T::accum_t mult[CONFIG_T::n_in * CONFIG_T::n_out];
-    typename CONFIG_T::accum_t acc[CONFIG_T::n_out];
-
-    // Do the matrix-multiply
-    for (unsigned ii = 0; ii < CONFIG_T::n_in; ii++) {
-      cache = data[ii];
-      for (unsigned jj = 0; jj < CONFIG_T::n_out; jj++) {
-        unsigned index = ii * CONFIG_T::n_out + jj;
-        mult[index] = CONFIG_T::template product<data_T, typename CONFIG_T::weight_t>::product(cache, weights[index]);
-      }
-    }
-
-    // Initialize accumulator with input biases
-    for (unsigned iacc = 0; iacc < CONFIG_T::n_out; iacc++) {
-      acc[iacc] = (typename CONFIG_T::accum_t)biases[iacc];
-    }
-
-    // Accumulate multiplication result
-    for (unsigned ii = 0; ii < CONFIG_T::n_in; ii++) {
-      for (unsigned jj = 0; jj < CONFIG_T::n_out; jj++) {
-        unsigned index = ii * CONFIG_T::n_out + jj;
-        acc[jj] += mult[index];
-      }
-    }
-
-    // Cast to "res_t" type
-    for (unsigned ires = 0; ires < CONFIG_T::n_out; ires++) {
-      // res[ires] = (res_T) (acc[ires]);
-      res[ires] = cast<data_T, res_T, CONFIG_T>(acc[ires]);
-    }
-  }
-
-}  // namespace nnet
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/nnet_utils/nnet_mult.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/nnet_utils/nnet_mult.h
deleted file mode 100644
index 3e2ce5b84b080..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/nnet_utils/nnet_mult.h
+++ /dev/null
@@ -1,108 +0,0 @@
-#ifndef NNET_MULT_H_
-#define NNET_MULT_H_
-
-#include "nnet_common.h"
-#include <iostream>
-#include <math.h>
-
-namespace nnet {
-
-  constexpr int ceillog2(int x) { return (x <= 2) ? 1 : 1 + ceillog2((x + 1) / 2); }
-
-  namespace product {
-
-    /* ---
- * different methods to perform the product of input and weight, depending on the
- * types of each.
- * --- */
-
-    class Product {};
-
-    template <class x_T, class w_T>
-    class both_binary : public Product {
-    public:
-      static x_T product(x_T a, w_T w) { return a == w; }
-    };
-
-    template <class x_T, class w_T>
-    class weight_binary : public Product {
-    public:
-      static auto product(x_T a, w_T w) -> decltype(-a) {
-        if (w == 0)
-          return -a;
-        else
-          return a;
-      }
-    };
-
-    template <class x_T, class w_T>
-    class data_binary : public Product {
-    public:
-      static auto product(x_T a, w_T w) -> decltype(-w) {
-        if (a == 0)
-          return -w;
-        else
-          return w;
-      }
-    };
-
-    template <class x_T, class w_T>
-    class weight_ternary : public Product {
-    public:
-      static auto product(x_T a, w_T w) -> decltype(-a) {
-        if (w == 0)
-          return 0;
-        else if (w == -1)
-          return -a;
-        else
-          return a;  // if(w == 1)
-      }
-    };
-
-    template <class x_T, class w_T>
-    class mult : public Product {
-    public:
-      static auto product(x_T a, w_T w) -> decltype(a * w) { return a * w; }
-    };
-
-    template <class x_T, class w_T>
-    class weight_exponential : public Product {
-    public:
-      using r_T =
-          ap_fixed<2 * (decltype(w_T::weight)::width + x_T::width), (decltype(w_T::weight)::width + x_T::width)>;
-      static r_T product(x_T a, w_T w) {
-        // Shift by the exponent. Negative weights shift right
-        r_T y = static_cast<r_T>(a) << w.weight;
-
-        // Negate or not depending on weight sign
-        return w.sign == 1 ? y : static_cast<r_T>(-y);
-      }
-    };
-
-  }  // namespace product
-
-  template <class data_T, class res_T, typename CONFIG_T>
-  inline typename std::enable_if<std::is_same<data_T, ap_uint<1>>::value &&
-                                     std::is_same<typename CONFIG_T::weight_t, ap_uint<1>>::value,
-                                 ap_int<nnet::ceillog2(CONFIG_T::n_in) + 2>>::type
-  cast(typename CONFIG_T::accum_t x) {
-    return (ap_int<nnet::ceillog2(CONFIG_T::n_in) + 2>)(x - CONFIG_T::n_in / 2) * 2;
-  }
-
-  template <class data_T, class res_T, typename CONFIG_T>
-  inline typename std::enable_if<std::is_same<data_T, ap_uint<1>>::value &&
-                                     !std::is_same<typename CONFIG_T::weight_t, ap_uint<1>>::value,
-                                 res_T>::type
-  cast(typename CONFIG_T::accum_t x) {
-    return (res_T)x;
-  }
-
-  template <class data_T, class res_T, typename CONFIG_T>
-  inline typename std::enable_if<(!std::is_same<data_T, ap_uint<1>>::value), res_T>::type cast(
-      typename CONFIG_T::accum_t x) {
-    return (res_T)x;
-  }
-
-}  // namespace nnet
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/tau_parameters.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/tau_parameters.h
deleted file mode 100644
index 95ac948a8d6cd..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/tau_parameters.h
+++ /dev/null
@@ -1,218 +0,0 @@
-#ifndef PARAMETERS_H_
-#define PARAMETERS_H_
-
-#include "ap_fixed.h"
-#include "ap_int.h"
-
-#include <complex>
-
-// Tau NN components
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/nnet_utils/nnet_activation.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/nnet_utils/nnet_dense.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/defines.h"
-
-// Load the NN weights
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w2.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b2.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w5.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b5.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w8.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b8.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w11.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b11.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w14.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b14.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w17.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b17.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w20.h"
-#include "L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b20.h"
-
-// hls-fpga-machine-learning insert layer-config
-// Dense_1
-struct config2 : nnet::dense_config {
-  static const unsigned n_in = 80;
-  static const unsigned n_out = 25;
-  static const unsigned io_type = nnet::io_parallel;
-  static const unsigned strategy = nnet::latency;
-  static const unsigned reuse_factor = 1;
-  static const unsigned n_zeros = 1205;
-  static const unsigned n_nonzeros = 795;
-  static const unsigned multiplier_limit = DIV_ROUNDUP(n_in * n_out, reuse_factor) - n_zeros / reuse_factor;
-  static const bool store_weights_in_bram = false;
-  typedef model_default_t accum_t;
-  typedef bias2_t bias_t;
-  typedef weight2_t weight_t;
-  typedef layer2_index index_t;
-  template <class x_T, class y_T>
-  using product = nnet::product::mult<x_T, y_T>;
-};
-
-// relu_1
-struct relu_config4 : nnet::activ_config {
-  static const unsigned n_in = 25;
-  static const unsigned table_size = 1024;
-  static const unsigned io_type = nnet::io_parallel;
-  static const unsigned reuse_factor = 1;
-  typedef relu_1_table_t table_t;
-};
-
-// Dense_2
-struct config5 : nnet::dense_config {
-  static const unsigned n_in = 25;
-  static const unsigned n_out = 25;
-  static const unsigned io_type = nnet::io_parallel;
-  static const unsigned strategy = nnet::latency;
-  static const unsigned reuse_factor = 1;
-  static const unsigned n_zeros = 375;
-  static const unsigned n_nonzeros = 250;
-  static const unsigned multiplier_limit = DIV_ROUNDUP(n_in * n_out, reuse_factor) - n_zeros / reuse_factor;
-  static const bool store_weights_in_bram = false;
-  typedef model_default_t accum_t;
-  typedef bias5_t bias_t;
-  typedef weight5_t weight_t;
-  typedef layer5_index index_t;
-  template <class x_T, class y_T>
-  using product = nnet::product::mult<x_T, y_T>;
-};
-
-// relu_2
-struct relu_config7 : nnet::activ_config {
-  static const unsigned n_in = 25;
-  static const unsigned table_size = 1024;
-  static const unsigned io_type = nnet::io_parallel;
-  static const unsigned reuse_factor = 1;
-  typedef relu_2_table_t table_t;
-};
-
-// Dense_3
-struct config8 : nnet::dense_config {
-  static const unsigned n_in = 25;
-  static const unsigned n_out = 15;
-  static const unsigned io_type = nnet::io_parallel;
-  static const unsigned strategy = nnet::latency;
-  static const unsigned reuse_factor = 1;
-  static const unsigned n_zeros = 225;
-  static const unsigned n_nonzeros = 150;
-  static const unsigned multiplier_limit = DIV_ROUNDUP(n_in * n_out, reuse_factor) - n_zeros / reuse_factor;
-  static const bool store_weights_in_bram = false;
-  typedef model_default_t accum_t;
-  typedef bias8_t bias_t;
-  typedef weight8_t weight_t;
-  typedef layer8_index index_t;
-  template <class x_T, class y_T>
-  using product = nnet::product::mult<x_T, y_T>;
-};
-
-// relu_3
-struct relu_config10 : nnet::activ_config {
-  static const unsigned n_in = 15;
-  static const unsigned table_size = 1024;
-  static const unsigned io_type = nnet::io_parallel;
-  static const unsigned reuse_factor = 1;
-  typedef relu_3_table_t table_t;
-};
-
-// Dense_4
-struct config11 : nnet::dense_config {
-  static const unsigned n_in = 15;
-  static const unsigned n_out = 15;
-  static const unsigned io_type = nnet::io_parallel;
-  static const unsigned strategy = nnet::latency;
-  static const unsigned reuse_factor = 1;
-  static const unsigned n_zeros = 135;
-  static const unsigned n_nonzeros = 90;
-  static const unsigned multiplier_limit = DIV_ROUNDUP(n_in * n_out, reuse_factor) - n_zeros / reuse_factor;
-  static const bool store_weights_in_bram = false;
-  typedef model_default_t accum_t;
-  typedef bias11_t bias_t;
-  typedef weight11_t weight_t;
-  typedef layer11_index index_t;
-  template <class x_T, class y_T>
-  using product = nnet::product::mult<x_T, y_T>;
-};
-
-// relu_4
-struct relu_config13 : nnet::activ_config {
-  static const unsigned n_in = 15;
-  static const unsigned table_size = 1024;
-  static const unsigned io_type = nnet::io_parallel;
-  static const unsigned reuse_factor = 1;
-  typedef relu_4_table_t table_t;
-};
-
-// Dense_5
-struct config14 : nnet::dense_config {
-  static const unsigned n_in = 15;
-  static const unsigned n_out = 10;
-  static const unsigned io_type = nnet::io_parallel;
-  static const unsigned strategy = nnet::latency;
-  static const unsigned reuse_factor = 1;
-  static const unsigned n_zeros = 90;
-  static const unsigned n_nonzeros = 60;
-  static const unsigned multiplier_limit = DIV_ROUNDUP(n_in * n_out, reuse_factor) - n_zeros / reuse_factor;
-  static const bool store_weights_in_bram = false;
-  typedef model_default_t accum_t;
-  typedef bias14_t bias_t;
-  typedef weight14_t weight_t;
-  typedef layer14_index index_t;
-  template <class x_T, class y_T>
-  using product = nnet::product::mult<x_T, y_T>;
-};
-
-// relu_5
-struct relu_config16 : nnet::activ_config {
-  static const unsigned n_in = 10;
-  static const unsigned table_size = 1024;
-  static const unsigned io_type = nnet::io_parallel;
-  static const unsigned reuse_factor = 1;
-  typedef relu_5_table_t table_t;
-};
-
-// Dense_6
-struct config17 : nnet::dense_config {
-  static const unsigned n_in = 10;
-  static const unsigned n_out = 1;
-  static const unsigned io_type = nnet::io_parallel;
-  static const unsigned strategy = nnet::latency;
-  static const unsigned reuse_factor = 1;
-  static const unsigned n_zeros = 6;
-  static const unsigned n_nonzeros = 4;
-  static const unsigned multiplier_limit = DIV_ROUNDUP(n_in * n_out, reuse_factor) - n_zeros / reuse_factor;
-  static const bool store_weights_in_bram = false;
-  typedef model_default_t accum_t;
-  typedef bias17_t bias_t;
-  typedef weight17_t weight_t;
-  typedef layer17_index index_t;
-  template <class x_T, class y_T>
-  using product = nnet::product::mult<x_T, y_T>;
-};
-
-// jetID_output
-struct sigmoid_config19 : nnet::activ_config {
-  static const unsigned n_in = 1;
-  static const unsigned table_size = 1024;
-  static const unsigned io_type = nnet::io_parallel;
-  static const unsigned reuse_factor = 1;
-  typedef jetID_output_table_t table_t;
-};
-
-// pT_output
-struct config20 : nnet::dense_config {
-  static const unsigned n_in = 10;
-  static const unsigned n_out = 1;
-  static const unsigned io_type = nnet::io_parallel;
-  static const unsigned strategy = nnet::latency;
-  static const unsigned reuse_factor = 1;
-  static const unsigned n_zeros = 6;
-  static const unsigned n_nonzeros = 4;
-  static const unsigned multiplier_limit = DIV_ROUNDUP(n_in * n_out, reuse_factor) - n_zeros / reuse_factor;
-  static const bool store_weights_in_bram = false;
-  typedef model_default_t accum_t;
-  typedef bias20_t bias_t;
-  typedef weight20_t weight_t;
-  typedef layer20_index index_t;
-  template <class x_T, class y_T>
-  using product = nnet::product::mult<x_T, y_T>;
-};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b11.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b11.h
deleted file mode 100644
index 289d5b76f7f7f..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b11.h
+++ /dev/null
@@ -1,25 +0,0 @@
-//Numpy array shape [15]
-//Min -0.062500000000
-//Max 0.250000000000
-//Number of zeros 3
-
-#ifndef B11_H_
-#define B11_H_
-
-bias11_t b11[15] = {0.031250,
-                    0.000000,
-                    0.000000,
-                    0.078125,
-                    0.234375,
-                    -0.062500,
-                    0.093750,
-                    0.000000,
-                    0.062500,
-                    0.109375,
-                    -0.062500,
-                    -0.015625,
-                    0.250000,
-                    0.109375,
-                    -0.046875};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b14.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b14.h
deleted file mode 100644
index 9de3170588cec..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b14.h
+++ /dev/null
@@ -1,12 +0,0 @@
-//Numpy array shape [10]
-//Min -0.031250000000
-//Max 0.250000000000
-//Number of zeros 0
-
-#ifndef B14_H_
-#define B14_H_
-
-bias14_t b14[10] = {
-    0.031250, 0.015625, 0.046875, -0.015625, -0.031250, 0.046875, 0.203125, 0.015625, 0.250000, -0.015625};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b17.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b17.h
deleted file mode 100644
index 540e383f1cdf0..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b17.h
+++ /dev/null
@@ -1,11 +0,0 @@
-//Numpy array shape [1]
-//Min -0.714843750000
-//Max -0.714843750000
-//Number of zeros 0
-
-#ifndef B17_H_
-#define B17_H_
-
-bias17_t b17[1] = {-0.714844};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b2.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b2.h
deleted file mode 100644
index b9cf57fb0c52d..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b2.h
+++ /dev/null
@@ -1,13 +0,0 @@
-//Numpy array shape [25]
-//Min -0.640625000000
-//Max 1.328125000000
-//Number of zeros 0
-
-#ifndef B2_H_
-#define B2_H_
-
-bias2_t b2[25] = {-0.312500, -0.281250, 0.687500, -0.250000, -0.640625, 0.656250,  0.500000, 0.265625, 0.171875,
-                  -0.046875, -0.093750, 0.156250, -0.156250, -0.093750, -0.171875, 0.234375, 0.046875, 0.125000,
-                  -0.140625, 0.187500,  0.937500, -0.046875, -0.250000, -0.250000, 1.328125};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b20.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b20.h
deleted file mode 100644
index 8887c33e169f4..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b20.h
+++ /dev/null
@@ -1,11 +0,0 @@
-//Numpy array shape [1]
-//Min 0.238281250000
-//Max 0.238281250000
-//Number of zeros 0
-
-#ifndef B20_H_
-#define B20_H_
-
-bias20_t b20[1] = {0.238281};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b5.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b5.h
deleted file mode 100644
index 82ab448e8b98e..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b5.h
+++ /dev/null
@@ -1,13 +0,0 @@
-//Numpy array shape [25]
-//Min -0.125000000000
-//Max 0.265625000000
-//Number of zeros 1
-
-#ifndef B5_H_
-#define B5_H_
-
-bias5_t b5[25] = {-0.015625, 0.046875,  -0.109375, 0.078125,  0.171875,  0.156250,  0.062500,  0.171875, 0.109375,
-                  0.265625,  0.234375,  0.125000,  -0.046875, -0.062500, 0.015625,  -0.062500, 0.156250, 0.093750,
-                  0.078125,  -0.109375, 0.109375,  0.093750,  0.000000,  -0.125000, 0.140625};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b8.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b8.h
deleted file mode 100644
index 2cfe199fc7265..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/b8.h
+++ /dev/null
@@ -1,25 +0,0 @@
-//Numpy array shape [15]
-//Min -0.109375000000
-//Max 0.265625000000
-//Number of zeros 0
-
-#ifndef B8_H_
-#define B8_H_
-
-bias8_t b8[15] = {0.093750,
-                  0.046875,
-                  -0.015625,
-                  0.265625,
-                  0.046875,
-                  -0.078125,
-                  0.031250,
-                  -0.062500,
-                  -0.015625,
-                  0.015625,
-                  0.062500,
-                  0.062500,
-                  -0.109375,
-                  -0.046875,
-                  0.140625};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w11.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w11.h
deleted file mode 100644
index ba69fb192e297..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w11.h
+++ /dev/null
@@ -1,34 +0,0 @@
-//Numpy array shape [15, 15]
-//Min -0.984375000000
-//Max 1.203125000000
-//Number of zeros 135
-
-#ifndef W11_H_
-#define W11_H_
-
-weight11_t w11[225] = {
-    0.734375,  0.000000,  0.000000,  1.015625,  -0.781250, 0.000000,  1.203125,  0.687500,  0.000000,  0.000000,
-    0.593750,  0.281250,  0.843750,  0.000000,  -0.343750, 0.000000,  0.000000,  0.000000,  -0.937500, 0.531250,
-    0.000000,  0.000000,  0.000000,  -0.453125, 0.000000,  0.484375,  0.000000,  0.546875,  -0.671875, -0.296875,
-    0.000000,  0.000000,  0.375000,  -0.625000, 0.203125,  0.000000,  -0.734375, 0.000000,  0.000000,  0.000000,
-    0.000000,  0.000000,  -0.515625, 0.000000,  0.000000,  0.500000,  -0.453125, 0.000000,  0.000000,  0.500000,
-    -0.359375, 0.000000,  0.000000,  0.000000,  0.468750,  0.000000,  0.000000,  0.000000,  0.328125,  -0.406250,
-    0.000000,  0.359375,  0.359375,  -0.375000, 0.000000,  0.000000,  -0.296875, 0.406250,  0.000000,  0.000000,
-    0.406250,  0.328125,  -0.515625, 0.421875,  0.000000,  0.000000,  0.000000,  -0.281250, 0.000000,  0.000000,
-    0.000000,  0.312500,  0.000000,  0.000000,  0.000000,  -0.453125, 0.000000,  0.000000,  0.000000,  -0.375000,
-    0.000000,  -0.453125, -0.984375, 0.000000,  -0.406250, 0.000000,  0.421875,  -0.343750, 0.000000,  0.000000,
-    0.000000,  -0.437500, 0.000000,  0.343750,  0.000000,  0.375000,  -0.453125, 0.000000,  -0.343750, 0.000000,
-    -0.421875, 0.000000,  0.406250,  0.000000,  0.328125,  0.343750,  0.375000,  0.000000,  -0.343750, 0.000000,
-    0.328125,  0.000000,  -0.359375, 0.000000,  0.000000,  -0.453125, 0.000000,  0.000000,  0.000000,  0.000000,
-    0.328125,  0.000000,  0.468750,  0.000000,  0.000000,  0.000000,  0.000000,  0.375000,  0.000000,  0.000000,
-    0.000000,  0.531250,  -0.281250, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,
-    -0.671875, 0.000000,  0.000000,  0.000000,  0.437500,  0.000000,  0.000000,  0.000000,  -0.765625, 0.000000,
-    0.421875,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.421875,  0.000000,
-    0.000000,  0.000000,  0.000000,  0.343750,  0.000000,  -0.437500, -0.375000, 0.000000,  0.000000,  0.375000,
-    0.296875,  0.000000,  0.000000,  0.000000,  0.000000,  0.375000,  0.000000,  0.000000,  0.390625,  0.000000,
-    0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,
-    -0.328125, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  -0.562500, 0.000000,
-    -0.421875, 0.000000,  0.000000,  0.312500,  -0.140625, 0.359375,  -0.390625, -0.359375, 0.406250,  0.625000,
-    -0.484375, 0.000000,  0.000000,  0.687500,  -0.406250};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w14.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w14.h
deleted file mode 100644
index f4103cee867e2..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w14.h
+++ /dev/null
@@ -1,26 +0,0 @@
-//Numpy array shape [15, 10]
-//Min -0.921875000000
-//Max 1.031250000000
-//Number of zeros 90
-
-#ifndef W14_H_
-#define W14_H_
-
-weight14_t w14[150] = {
-    -0.296875, -0.843750, 0.000000,  0.000000,  -0.406250, 0.000000,  -0.281250, 1.031250,  0.000000,  0.000000,
-    0.453125,  0.000000,  0.359375,  0.375000,  0.406250,  -0.421875, 0.000000,  0.000000,  0.375000,  0.000000,
-    0.000000,  0.828125,  0.000000,  0.000000,  0.000000,  0.000000,  -0.312500, 0.000000,  0.000000,  0.000000,
-    0.000000,  0.000000,  -0.406250, 0.796875,  0.421875,  0.640625,  0.546875,  0.000000,  0.000000,  0.000000,
-    -0.328125, 0.000000,  0.000000,  0.000000,  -0.328125, -0.890625, 0.000000,  0.859375,  0.750000,  0.000000,
-    0.453125,  0.000000,  0.000000,  0.000000,  0.000000,  -0.328125, 0.000000,  0.000000,  -0.328125, -0.359375,
-    0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  -0.750000, 0.640625,  0.000000,  0.000000,
-    0.000000,  -0.484375, 0.000000,  0.000000,  -0.421875, 0.000000,  -0.421875, 0.781250,  0.000000,  0.000000,
-    0.437500,  0.000000,  0.328125,  0.000000,  0.359375,  0.000000,  0.000000,  0.000000,  -0.546875, 0.000000,
-    0.484375,  0.640625,  0.531250,  0.000000,  0.000000,  0.000000,  0.625000,  -0.296875, 0.000000,  -0.437500,
-    0.000000,  0.000000,  0.000000,  0.000000,  0.421875,  0.000000,  0.000000,  0.000000,  0.000000,  0.375000,
-    0.000000,  0.000000,  0.000000,  -0.296875, -0.390625, 0.375000,  0.000000,  0.000000,  -0.328125, 0.000000,
-    0.000000,  0.000000,  -0.671875, 0.000000,  -0.921875, 0.000000,  -0.875000, 0.000000,  0.000000,  0.000000,
-    0.468750,  0.718750,  0.484375,  0.812500,  0.000000,  0.375000,  0.000000,  0.000000,  -0.390625, 0.000000,
-    -0.390625, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  -0.390625, 0.000000};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w17.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w17.h
deleted file mode 100644
index 0ce1c2b014117..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w17.h
+++ /dev/null
@@ -1,12 +0,0 @@
-//Numpy array shape [10, 1]
-//Min -2.798828125000
-//Max 1.773437500000
-//Number of zeros 6
-
-#ifndef W17_H_
-#define W17_H_
-
-weight17_t w17[10] = {
-    0.000000, 1.773438, 1.755859, 0.000000, 0.000000, 0.000000, 1.603516, 0.000000, -2.798828, 0.000000};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w2.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w2.h
deleted file mode 100644
index cd94ddd044393..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w2.h
+++ /dev/null
@@ -1,211 +0,0 @@
-//Numpy array shape [80, 25]
-//Min -1.515625000000
-//Max 1.312500000000
-//Number of zeros 1205
-
-#ifndef W2_H_
-#define W2_H_
-
-weight2_t w2[2000] = {
-    0.000000,  0.000000,  0.000000,  0.109375,  0.046875,  0.078125,  0.000000,  0.281250,  0.000000,  0.000000,
-    0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,
-    0.000000,  0.000000,  0.000000,  0.000000,  -0.046875, -0.125000, 0.000000,  0.703125,  0.031250,  0.000000,
-    0.000000,  -0.203125, 0.000000,  -1.296875, -0.656250, 0.000000,  0.000000,  0.390625,  0.000000,  0.000000,
-    0.203125,  0.125000,  0.000000,  0.000000,  0.000000,  0.234375,  -0.343750, 0.000000,  0.203125,  0.000000,
-    0.359375,  -1.515625, 1.312500,  0.546875,  0.000000,  -0.046875, 0.000000,  0.000000,  0.000000,  0.000000,
-    0.000000,  0.000000,  -0.156250, -0.125000, -0.250000, 0.000000,  0.187500,  0.000000,  -0.906250, 0.000000,
-    0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  -0.718750, 0.000000,  0.000000,  0.000000,  0.000000,
-    0.000000,  0.578125,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  -0.093750, 0.000000,  0.390625,
-    0.406250,  0.625000,  0.000000,  0.000000,  -0.140625, 0.000000,  -0.125000, 0.000000,  0.000000,  0.000000,
-    -0.546875, -0.109375, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  -0.218750,
-    0.000000,  0.000000,  0.000000,  0.390625,  -0.265625, -0.234375, 0.000000,  -0.265625, 0.000000,  0.000000,
-    0.562500,  0.000000,  0.140625,  0.000000,  0.000000,  0.296875,  0.000000,  -0.812500, 0.000000,  -0.375000,
-    0.000000,  0.000000,  0.062500,  0.234375,  0.000000,  0.000000,  0.062500,  0.000000,  0.000000,  0.062500,
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-    0.000000,  0.000000,  0.000000,  -1.265625, 0.000000,  0.000000,  0.000000,  -0.421875, 0.000000,  0.000000,
-    0.000000,  -0.265625, 0.000000,  0.000000,  0.000000,  0.281250,  0.000000,  0.000000,  -0.843750, 0.000000};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w20.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w20.h
deleted file mode 100644
index 25d75a1880f14..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w20.h
+++ /dev/null
@@ -1,12 +0,0 @@
-//Numpy array shape [10, 1]
-//Min -0.931640625000
-//Max 1.476562500000
-//Number of zeros 6
-
-#ifndef W20_H_
-#define W20_H_
-
-weight20_t w20[10] = {
-    0.000000, 0.000000, 0.000000, 1.185547, 0.000000, 1.476562, -0.931641, 0.769531, 0.000000, 0.000000};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w5.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w5.h
deleted file mode 100644
index f001160129b86..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w5.h
+++ /dev/null
@@ -1,74 +0,0 @@
-//Numpy array shape [25, 25]
-//Min -1.203125000000
-//Max 1.078125000000
-//Number of zeros 375
-
-#ifndef W5_H_
-#define W5_H_
-
-weight5_t w5[625] = {
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-    -0.406250, 0.250000,  0.000000,  -0.281250, 0.000000,  0.000000,  -0.250000, -0.250000, 0.000000,  -0.234375,
-    -0.125000, -0.171875, 0.468750,  -0.484375, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,
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-    0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  -0.218750, 0.000000,  0.000000,  0.000000,
-    -0.125000, 0.390625,  0.000000,  -0.328125, 1.078125,  0.234375,  0.312500,  0.000000,  0.000000,  0.000000,
-    0.781250,  -0.218750, 0.000000,  0.312500,  0.000000,  0.000000,  0.000000,  -0.500000, -0.906250, -0.687500,
-    0.000000,  0.500000,  0.437500,  0.000000,  0.000000,  0.000000,  -0.265625, 0.078125,  0.000000,  0.000000,
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-    0.000000,  0.000000,  -0.562500, 0.000000,  0.000000,  -0.343750, 0.000000,  0.000000,  0.000000,  0.000000,
-    0.000000,  0.000000,  0.000000,  0.000000,  0.671875,  -0.328125, 0.468750,  0.000000,  0.468750,  0.000000,
-    0.062500,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.203125,  0.109375,  0.000000,  0.000000,
-    -0.328125, 0.000000,  0.218750,  0.000000,  0.000000,  -0.328125, -0.187500, 0.000000,  0.203125,  0.296875,
-    -0.671875, 0.031250,  -0.546875, -0.234375, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.812500,
-    0.000000,  0.250000,  0.000000,  0.265625,  -0.468750, 0.234375,  0.000000,  0.281250,  0.000000,  0.000000,
-    -0.828125, -0.671875, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  -0.031250,
-    -0.203125, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.421875,  0.000000,  0.000000,  0.000000,
-    0.000000,  0.000000,  0.000000,  0.656250,  0.000000,  0.453125,  0.343750,  0.343750,  0.000000,  0.000000,
-    0.000000,  0.265625,  0.218750,  0.000000,  -0.546875, 0.000000,  0.000000,  -0.296875, 0.296875,  0.000000,
-    0.000000,  0.000000,  0.281250,  -0.234375, 0.234375,  0.203125,  0.000000,  0.000000,  0.000000,  0.359375,
-    0.000000,  -1.078125, 0.000000,  0.000000,  0.000000,  -0.187500, 0.437500,  0.000000,  0.000000,  -0.500000,
-    0.484375,  0.000000,  0.000000,  0.281250,  0.000000,  0.359375,  0.000000,  0.000000,  -0.187500, 0.000000,
-    0.000000,  0.000000,  0.000000,  -0.437500, 0.203125,  0.203125,  0.000000,  -0.328125, 0.000000,  0.000000,
-    -0.250000, 0.000000,  0.000000,  0.000000,  0.390625,  0.000000,  0.328125,  0.000000,  0.000000,  0.000000,
-    0.000000,  0.000000,  0.125000,  0.000000,  -0.265625, 0.171875,  0.000000,  0.000000,  0.000000,  0.000000,
-    -0.421875, 0.359375,  0.000000,  -0.390625, -0.093750, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,
-    0.000000,  -0.156250, 0.000000,  0.296875,  0.187500,  0.406250,  0.000000,  0.000000,  0.281250,  0.000000,
-    0.000000,  -0.046875, 0.000000,  0.000000,  0.000000,  -0.265625, -0.250000, 0.000000,  0.000000,  0.000000,
-    0.000000,  0.000000,  0.375000,  0.000000,  -0.375000, 0.000000,  0.000000,  0.000000,  0.000000,  -0.968750,
-    -0.640625, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.500000,  0.000000,  0.000000,  0.515625,
-    0.531250,  0.000000,  0.000000,  0.000000,  0.000000};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w8.h b/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w8.h
deleted file mode 100644
index 30533952a7b8f..0000000000000
--- a/L1Trigger/Phase2L1ParticleFlow/interface/taus/weights/w8.h
+++ /dev/null
@@ -1,49 +0,0 @@
-//Numpy array shape [25, 15]
-//Min -0.859375000000
-//Max 0.750000000000
-//Number of zeros 225
-
-#ifndef W8_H_
-#define W8_H_
-
-weight8_t w8[375] = {
-    0.000000,  -0.250000, 0.000000,  0.000000,  0.000000,  0.000000,  0.562500,  -0.187500, 0.312500,  0.234375,
-    0.234375,  0.140625,  -0.203125, 0.000000,  0.000000,  -0.218750, -0.281250, 0.000000,  0.000000,  0.000000,
-    0.187500,  0.296875,  0.000000,  -0.296875, 0.000000,  -0.203125, 0.328125,  -0.390625, 0.000000,  0.000000,
-    0.593750,  -0.234375, 0.000000,  0.000000,  -0.375000, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,
-    0.000000,  0.265625,  0.000000,  0.000000,  0.000000,  0.000000,  -0.343750, 0.000000,  0.000000,  0.062500,
-    0.000000,  0.000000,  0.000000,  0.312500,  0.000000,  0.000000,  0.406250,  -0.265625, -0.421875, 0.000000,
-    0.171875,  0.000000,  0.000000,  0.000000,  0.000000,  -0.328125, 0.000000,  0.000000,  -0.468750, 0.000000,
-    0.000000,  0.000000,  0.000000,  0.562500,  0.453125,  0.453125,  0.000000,  0.000000,  0.421875,  -0.437500,
-    -0.296875, -0.250000, -0.359375, 0.000000,  -0.234375, -0.625000, 0.000000,  -0.328125, 0.000000,  -0.359375,
-    0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  -0.343750, 0.000000,  0.000000,  0.000000,  0.000000,
-    0.000000,  0.000000,  0.000000,  -0.859375, 0.000000,  0.000000,  0.671875,  0.000000,  0.000000,  0.203125,
-    0.218750,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.468750,  -0.234375, 0.296875,  0.000000,
-    -0.640625, 0.359375,  0.000000,  0.000000,  0.000000,  0.000000,  -0.343750, 0.203125,  -0.312500, -0.234375,
-    0.000000,  0.250000,  0.187500,  0.000000,  0.000000,  0.000000,  0.000000,  0.531250,  0.000000,  0.000000,
-    -0.250000, 0.000000,  0.000000,  -0.187500, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,
-    0.000000,  0.468750,  -0.218750, 0.375000,  0.000000,  -0.265625, 0.000000,  -0.218750, -0.296875, 0.265625,
-    -0.562500, 0.281250,  0.000000,  0.390625,  0.437500,  0.000000,  0.000000,  0.218750,  0.625000,  0.000000,
-    0.000000,  0.218750,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.203125,  0.000000,  0.750000,
-    0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.187500,  -0.234375,
-    0.265625,  0.171875,  -0.328125, 0.328125,  0.000000,  0.250000,  0.000000,  0.000000,  -0.218750, 0.000000,
-    0.000000,  -0.281250, 0.000000,  -0.312500, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,
-    0.500000,  0.125000,  0.000000,  0.265625,  0.312500,  0.203125,  0.562500,  0.000000,  -0.234375, 0.187500,
-    0.000000,  0.000000,  0.203125,  0.000000,  0.000000,  -0.156250, 0.515625,  0.000000,  0.000000,  0.000000,
-    -0.187500, 0.000000,  0.000000,  -0.296875, 0.000000,  -0.093750, -0.296875, 0.000000,  0.484375,  0.000000,
-    0.453125,  0.000000,  -0.203125, 0.000000,  0.000000,  -0.406250, 0.000000,  -0.187500, 0.250000,  -0.343750,
-    0.000000,  0.000000,  0.000000,  -0.343750, 0.000000,  0.000000,  0.000000,  0.000000,  0.578125,  0.000000,
-    0.000000,  0.000000,  0.000000,  0.250000,  0.000000,  0.000000,  0.171875,  0.218750,  0.000000,  0.000000,
-    0.000000,  -0.281250, 0.000000,  0.468750,  -0.375000, 0.000000,  0.000000,  0.000000,  0.000000,  -0.343750,
-    0.000000,  0.453125,  0.000000,  0.000000,  0.000000,  0.281250,  0.609375,  0.000000,  0.000000,  0.000000,
-    -0.218750, 0.000000,  -0.406250, 0.000000,  -0.328125, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,
-    0.000000,  -0.734375, 0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,  0.250000,  0.000000,
-    0.000000,  0.000000,  -0.328125, 0.000000,  0.640625,  0.000000,  0.000000,  0.000000,  0.000000,  0.000000,
-    0.000000,  0.000000,  0.000000,  -0.593750, -0.375000, 0.000000,  0.312500,  0.312500,  0.000000,  0.562500,
-    0.000000,  0.000000,  -0.593750, 0.000000,  0.281250,  0.218750,  0.359375,  0.000000,  0.000000,  -0.296875,
-    0.000000,  0.000000,  -0.296875, -0.250000, 0.000000,  -0.500000, 0.000000,  0.000000,  0.593750,  0.000000,
-    0.000000,  0.000000,  0.000000,  -0.328125, -0.343750, 0.531250,  0.000000,  0.000000,  0.000000,  0.000000,
-    0.000000,  0.000000,  0.000000,  -0.234375, 0.000000,  0.000000,  0.000000,  0.000000,  -0.421875, -0.250000,
-    0.000000,  0.000000,  -0.375000, -0.437500, -0.437500};
-
-#endif
diff --git a/L1Trigger/Phase2L1ParticleFlow/plugins/L1NNTauProducer.cc b/L1Trigger/Phase2L1ParticleFlow/plugins/L1NNTauProducer.cc
index 7bd218b4d2cac..5d3766c7f402e 100644
--- a/L1Trigger/Phase2L1ParticleFlow/plugins/L1NNTauProducer.cc
+++ b/L1Trigger/Phase2L1ParticleFlow/plugins/L1NNTauProducer.cc
@@ -8,6 +8,7 @@
 #include "FWCore/Framework/interface/Event.h"
 #include "FWCore/Framework/interface/MakerMacros.h"
 #include "FWCore/ParameterSet/interface/ParameterSet.h"
+#include "FWCore/Utilities/interface/Exception.h"
 
 #include "DataFormats/L1TParticleFlow/interface/PFTau.h"
 #include "DataFormats/L1TParticleFlow/interface/PFCandidate.h"
@@ -17,8 +18,13 @@
 #include "ap_int.h"
 #include "ap_fixed.h"
 
+#include "hls4ml/emulator.h"
+
 using namespace l1t;
 
+// Intermediate precision for the seed-cone clustering math below (mass/pt sums).
+typedef ap_fixed<24, 12> input2_t;
+
 class L1NNTauProducer : public edm::stream::EDProducer<edm::GlobalCache<tensorflow::SessionCache>> {
 public:
   explicit L1NNTauProducer(const edm::ParameterSet&, const tensorflow::SessionCache*);
@@ -53,6 +59,9 @@ class L1NNTauProducer : public edm::stream::EDProducer<edm::GlobalCache<tensorfl
   const bool fEMSeed;
   const bool fDebug;
   edm::EDGetTokenT<vector<l1t::PFCandidate>> fL1PFToken_;
+
+  hls4mlEmulator::ModelLoader loader_;
+  std::shared_ptr<hls4mlEmulator::Model> model_;
 };
 
 static constexpr float track_trigger_eta_max = 2.5;
@@ -66,10 +75,17 @@ L1NNTauProducer::L1NNTauProducer(const edm::ParameterSet& cfg, const tensorflow:
       fHW(cfg.getParameter<bool>("HW")),
       fEMSeed(cfg.getParameter<bool>("emseed")),
       fDebug(cfg.getParameter<bool>("debug")),
-      fL1PFToken_(consumes<vector<l1t::PFCandidate>>(cfg.getParameter<edm::InputTag>("L1PFObjects"))) {
+      fL1PFToken_(consumes<vector<l1t::PFCandidate>>(cfg.getParameter<edm::InputTag>("L1PFObjects"))),
+      loader_(hls4mlEmulator::ModelLoader(cfg.getParameter<std::string>("tauModelPath"))) {
   std::string lNNFile = cfg.getParameter<std::string>("NNFileName");  //,"L1Trigger/Phase2L1Taus/data/tau_3layer.pb");
   if (fHW) {
-    fTauNNIdHW_ = std::make_unique<TauNNIdHW>();
+    try {
+      model_ = loader_.load_model();
+    } catch (std::runtime_error& e) {
+      throw cms::Exception("ModelError") << " ERROR: failed to load NNPuppiTau model version \"" << loader_.model_name()
+                                         << "\". Model version not found in cms-hls4ml externals.";
+    }
+    fTauNNIdHW_ = std::make_unique<TauNNIdHW>(model_);
     fTauNNIdHW_->initialize("input_1:0", fNParticles_);
   } else {
     fTauNNId_ = std::make_unique<TauNNId>(lNNFile.find("v0") == std::string::npos ? "input_1:0" : "dense_1_input:0",
@@ -177,6 +193,7 @@ void L1NNTauProducer::fillDescriptions(edm::ConfigurationDescriptions& descripti
   // L1NNTauProducer
   edm::ParameterSetDescription desc;
   desc.add<std::string>("NNFileName", "L1Trigger/Phase2L1ParticleFlow/data/tau_3layer.pb");
+  desc.add<std::string>("tauModelPath", std::string("NNPuppiTauModel_v1"));
   desc.add<double>("tausize", 0.1);
   desc.add<int>("maxtaus", 5);
   desc.add<int>("nparticles", 10);
@@ -202,8 +219,8 @@ void L1NNTauProducer::makeTau_HW(const l1t::PFCandidate& seed,
   input2_t p1y_tot = 0;
   input2_t p1z_tot = 0;
 
-  input_t e1ta_1 = seed.eta();
-  input_t p1hi_1 = seed.phi();
+  L1TauEmu::tauinput_t e1ta_1 = seed.eta();
+  L1TauEmu::tauinput_t p1hi_1 = seed.phi();
   L1TauEmu::pt_t pt = 0;
   L1TauEmu::z0_t z0 = 0;
   L1TauEmu::dxy_t dxy = 0;
@@ -216,10 +233,10 @@ void L1NNTauProducer::makeTau_HW(const l1t::PFCandidate& seed,
         lId++;
         pt = pt + L1TauEmu::pt_t(parts[i0].pt());
 
-        input2_t d1eta = input_t(parts[i0].eta()) - e1ta_1;
-        input2_t d1phi = input_t(parts[i0].phi()) - p1hi_1;
+        input2_t d1eta = L1TauEmu::tauinput_t(parts[i0].eta()) - e1ta_1;
+        input2_t d1phi = L1TauEmu::tauinput_t(parts[i0].phi()) - p1hi_1;
         input2_t d1r2 = d1eta * d1eta + d1phi * d1phi;
-        input2_t tmppt = input_t(parts[i0].pt());
+        input2_t tmppt = L1TauEmu::tauinput_t(parts[i0].pt());
         input2_t half = 0.5;
         p1z_tot = p1z_tot + tmppt * (1 - d1r2 * half);
         p1y_tot = p1y_tot + tmppt * d1phi;
@@ -247,7 +264,7 @@ void L1NNTauProducer::makeTau_HW(const l1t::PFCandidate& seed,
   Tau_NN_Result NN_ouput = fTauNNIdHW_->compute(seed, parts);
 
   // Needed for making PFTau
-  input_t* lNNVector = fTauNNIdHW_->NNVectorVar();
+  L1TauEmu::tauinput_t* lNNVector = fTauNNIdHW_->NNVectorVar();
   float pNNVec[80];
   for (unsigned i0 = 0; i0 < 80; i0++)
     pNNVec[i0] = float(lNNVector[i0]);
diff --git a/L1Trigger/Phase2L1ParticleFlow/python/L1NNTauProducer_cff.py b/L1Trigger/Phase2L1ParticleFlow/python/L1NNTauProducer_cff.py
index 8aa876c19775a..109d1289d1050 100644
--- a/L1Trigger/Phase2L1ParticleFlow/python/L1NNTauProducer_cff.py
+++ b/L1Trigger/Phase2L1ParticleFlow/python/L1NNTauProducer_cff.py
@@ -2,6 +2,8 @@
 
 from L1Trigger.Phase2L1ParticleFlow.l1ctLayer1_cff import l1tLayer1Barrel,l1tLayer1HGCal,l1tLayer1
 
+nnPuppiTauModelName = "NNPuppiTauModel_v1"
+
 #from L1Trigger.Phase2L1ParticleFlow.L1NNTauProducer_cfi import *
 
 #L1NNTauProducerPuppi = L1NNTauProducer.clone(
@@ -19,7 +21,8 @@
                                       emseed          = cms.bool(True),
                                       debug           = cms.bool(False),
                                       L1PFObjects     = cms.InputTag('l1tLayer2Deregionizer:Puppi'), #1pfCandidates:Puppi"),#l1pfCandidates
-                                      NNFileName      = cms.string("L1Trigger/Phase2L1ParticleFlow/data/tau_3layer_puppi.pb")
+                                      NNFileName      = cms.string("L1Trigger/Phase2L1ParticleFlow/data/tau_3layer_puppi.pb"),
+                                      tauModelPath    = cms.string(nnPuppiTauModelName)
 )
 
 l1tNNTauProducerPF = cms.EDProducer("L1NNTauProducer",
@@ -29,6 +32,7 @@
                                       maxtaus         = cms.int32(5),
                                       nparticles      = cms.int32(10),
                                       L1PFObjects     = cms.InputTag("l1tLayer1:PF"),#l1pfCandidates
-                                      NNFileName      = cms.string("L1Trigger/Phase2L1ParticleFlow/data/tau_3layer.pb")
+                                      NNFileName      = cms.string("L1Trigger/Phase2L1ParticleFlow/data/tau_3layer.pb"),
+                                      tauModelPath    = cms.string(nnPuppiTauModelName)
 )
 
diff --git a/L1Trigger/Phase2L1ParticleFlow/src/taus/TauNNIdHW.cc b/L1Trigger/Phase2L1ParticleFlow/src/taus/TauNNIdHW.cc
index f4e996f6a665e..1b36604e47a8a 100644
--- a/L1Trigger/Phase2L1ParticleFlow/src/taus/TauNNIdHW.cc
+++ b/L1Trigger/Phase2L1ParticleFlow/src/taus/TauNNIdHW.cc
@@ -1,8 +1,9 @@
+#include <array>
 #include <iostream>
+#include <utility>
 #include "L1Trigger/Phase2L1ParticleFlow/interface/taus/TauNNIdHW.h"
 
-TauNNIdHW::TauNNIdHW() { NNvectorVar_.clear(); }
-TauNNIdHW::~TauNNIdHW() {}
+TauNNIdHW::TauNNIdHW(const std::shared_ptr<hls4mlEmulator::Model> model) : modelRef_(model) { NNvectorVar_.clear(); }
 
 void TauNNIdHW::initialize(const std::string &iInput, int iNParticles) {
   fNParticles_ = iNParticles;
@@ -17,9 +18,9 @@ void TauNNIdHW::initialize(const std::string &iInput, int iNParticles) {
 void TauNNIdHW::SetNNVectorVar() {
   NNvectorVar_.clear();
   for (unsigned i0 = 0; i0 < fNParticles_; i0++) {
-    input_t pPt = input_t(fPt_.get()[i0]);
-    input_t pEta = input_t(fEta_.get()[i0]);
-    input_t pPhi = input_t(fPhi_.get()[i0]);
+    L1TauEmu::tauinput_t pPt = L1TauEmu::tauinput_t(fPt_.get()[i0]);
+    L1TauEmu::tauinput_t pEta = L1TauEmu::tauinput_t(fEta_.get()[i0]);
+    L1TauEmu::tauinput_t pPhi = L1TauEmu::tauinput_t(fPhi_.get()[i0]);
 
     NNvectorVar_.push_back(pPt);
     NNvectorVar_.push_back(pEta);
@@ -37,56 +38,27 @@ void TauNNIdHW::SetNNVectorVar() {
   }
 }
 
-// Main architecture of the NN here
+// Main architecture of the NN here: delegates to the externally-built
+// NNPuppiTauModel package (loaded via hls4mlEmulator::Model) instead of
+// in-tree weight arrays, avoiding ELF symbol clashes between hls4ml models
+// loaded into the same process (cms-sw/cmssw#49632).
 Tau_NN_Result TauNNIdHW::EvaluateNN() {
-  input_t model_input[N_INPUT_1_1];
+  constexpr unsigned kNInputs = 80;
+  L1TauEmu::tauinput_t model_input[kNInputs];
   for (unsigned int i = 0; i < NNvectorVar_.size(); i++) {
-    model_input[i] = input_t(NNvectorVar_[i]);
+    model_input[i] = L1TauEmu::tauinput_t(NNvectorVar_[i]);
   }
 
-  layer2_t layer2_out[N_LAYER_2];
-  nnet::dense<input_t, layer2_t, config2>(model_input, layer2_out, w2, b2);  // Dense_1
-
-  layer4_t layer4_out[N_LAYER_2];
-  nnet::relu<layer2_t, layer4_t, relu_config4>(layer2_out, layer4_out);  // relu_1
-
-  layer5_t layer5_out[N_LAYER_5];
-  nnet::dense<layer4_t, layer5_t, config5>(layer4_out, layer5_out, w5, b5);  // Dense_2
-
-  layer7_t layer7_out[N_LAYER_5];
-  nnet::relu<layer5_t, layer7_t, relu_config7>(layer5_out, layer7_out);  // relu_2
-
-  layer8_t layer8_out[N_LAYER_8];
-  nnet::dense<layer7_t, layer8_t, config8>(layer7_out, layer8_out, w8, b8);  // Dense_3
-
-  layer10_t layer10_out[N_LAYER_8];
-  nnet::relu<layer8_t, layer10_t, relu_config10>(layer8_out, layer10_out);  // relu_3
-
-  layer11_t layer11_out[N_LAYER_11];
-  nnet::dense<layer10_t, layer11_t, config11>(layer10_out, layer11_out, w11, b11);  // Dense_4
-
-  layer13_t layer13_out[N_LAYER_11];
-  nnet::relu<layer11_t, layer13_t, relu_config13>(layer11_out, layer13_out);  // relu_4
-
-  layer14_t layer14_out[N_LAYER_14];
-  nnet::dense<layer13_t, layer14_t, config14>(layer13_out, layer14_out, w14, b14);  // Dense_5
-
-  layer16_t layer16_out[N_LAYER_14];
-  nnet::relu<layer14_t, layer16_t, relu_config16>(layer14_out, layer16_out);  // relu_5
-
-  layer17_t layer17_out[N_LAYER_17];
-  nnet::dense<layer16_t, layer17_t, config17>(layer16_out, layer17_out, w17, b17);  // Dense_6
-
-  result_t layer19_out[N_LAYER_17];
-  nnet::sigmoid<layer17_t, result_t, sigmoid_config19>(layer17_out, layer19_out);  // jetID_output
-
-  result_t layer20_out[N_LAYER_20];
-  nnet::dense<layer16_t, result_t, config20>(layer16_out, layer20_out, w20, b20);  // pT_output
+  typedef std::pair<std::array<L1TauEmu::tauresult_t, 1>, std::array<L1TauEmu::tauresult_t, 1>> pairtype;
+  pairtype modelResult;
+  modelRef_->prepare_input(model_input);
+  modelRef_->predict();
+  modelRef_->read_result(&modelResult);
 
   // Return both pT correction and the NN ID
   Tau_NN_Result nn_out;
-  nn_out.nn_pt_correction = layer20_out[0];
-  nn_out.nn_id = layer19_out[0];
+  nn_out.nn_pt_correction = modelResult.first[0];
+  nn_out.nn_id = modelResult.second[0];
 
   return nn_out;
 }
@@ -95,10 +67,10 @@ Tau_NN_Result TauNNIdHW::EvaluateNN() {
 // Uncomment for debugging purposes
 void TauNNIdHW::print() { 
   for (unsigned i0 = 0; i0 < fNParticles_; i0++) {
-    input_t pPt  = input_t(fPt_.get()[i0]);
-    input_t pEta = input_t(fEta_.get()[i0]);
-    input_t pPhi = input_t(fPhi_.get()[i0]);
-    input_t pId  = input_t(fId_.get()[i0]);    
+    tauinput_t pPt  = tauinput_t(fPt_.get()[i0]);
+    tauinput_t pEta = tauinput_t(fEta_.get()[i0]);
+    tauinput_t pPhi = tauinput_t(fPhi_.get()[i0]);
+    tauinput_t pId  = tauinput_t(fId_.get()[i0]);
     fprintf(file_, " %08x", pPt.to_uint());
     fprintf(file_, " %08x", pEta.to_uint());
     fprintf(file_, " %08x", pPhi.to_uint());
diff --git a/L1Trigger/Phase2L1ParticleFlow/test/BuildFile.xml b/L1Trigger/Phase2L1ParticleFlow/test/BuildFile.xml
new file mode 100644
index 0000000000000..950ed6837762f
--- /dev/null
+++ b/L1Trigger/Phase2L1ParticleFlow/test/BuildFile.xml
@@ -0,0 +1,6 @@
+<bin name="testNNPuppiTauModel" file="testNNPuppiTauModel.cppunit.cc">
+    <use name="hls"/>
+    <use name="hls4mlEmulatorExtras"/>
+    <use name="NNPuppiTauModel"/>
+    <use name="cppunit"/>
+</bin>
diff --git a/L1Trigger/Phase2L1ParticleFlow/test/testNNPuppiTauModel.cppunit.cc b/L1Trigger/Phase2L1ParticleFlow/test/testNNPuppiTauModel.cppunit.cc
new file mode 100644
index 0000000000000..1353b1b4c523b
--- /dev/null
+++ b/L1Trigger/Phase2L1ParticleFlow/test/testNNPuppiTauModel.cppunit.cc
@@ -0,0 +1,68 @@
+//Test of the externally-built NNPuppiTauModel hls4ml emulator: model
+//loading (incl. multiple versions/instances in the same process, the
+//scenario that used to clash on un-namespaced weight symbols, see
+//cms-sw/cmssw#49632) and a basic predict() sanity check.
+
+#include "ap_fixed.h"
+#include "hls4ml/emulator.h"
+
+#include "cppunit/extensions/HelperMacros.h"
+#include <array>
+#include <utility>
+#include "Utilities/Testing/interface/CppUnit_testdriver.icpp"
+
+namespace {
+  typedef ap_fixed<16, 10> tauinput_t;
+  typedef ap_fixed<16, 6> tauresult_t;
+  constexpr int kNInputs = 80;
+  constexpr char const* kModelName = "NNPuppiTauModel_v1";
+}  // namespace
+
+class test_NNPuppiTauModel : public CppUnit::TestFixture {
+  CPPUNIT_TEST_SUITE(test_NNPuppiTauModel);
+  CPPUNIT_TEST(doModelLoad);
+  CPPUNIT_TEST(doMultiModelLoad);
+  CPPUNIT_TEST(doPredictSanity);
+  CPPUNIT_TEST_SUITE_END();
+
+public:
+  void doModelLoad();
+  void doMultiModelLoad();
+  void doPredictSanity();
+};
+
+CPPUNIT_TEST_SUITE_REGISTRATION(test_NNPuppiTauModel);
+
+void test_NNPuppiTauModel::doModelLoad() {
+  auto loader = hls4mlEmulator::ModelLoader(kModelName);
+  auto model = loader.load_model();
+}
+
+void test_NNPuppiTauModel::doMultiModelLoad() {
+  auto loader_a = hls4mlEmulator::ModelLoader(kModelName);
+  auto loader_b = hls4mlEmulator::ModelLoader(kModelName);
+  auto model_a = loader_a.load_model();
+  auto model_b = loader_b.load_model();
+}
+
+void test_NNPuppiTauModel::doPredictSanity() {
+  auto loader = hls4mlEmulator::ModelLoader(kModelName);
+  auto model = loader.load_model();
+
+  // All-zero input: not physically representative, but exercises the full
+  // dense/relu/sigmoid layer sequence and checks the returned values land in
+  // the expected output ranges.
+  tauinput_t input[kNInputs];
+  for (int i = 0; i < kNInputs; ++i)
+    input[i] = tauinput_t(0);
+
+  typedef std::pair<std::array<tauresult_t, 1>, std::array<tauresult_t, 1>> pairtype;
+  pairtype result;
+  model->prepare_input(input);
+  model->predict();
+  model->read_result(&result);
+
+  // nn_id (result.second) is the output of a sigmoid layer: must lie in [0, 1].
+  double nn_id = double(result.second[0]);
+  CPPUNIT_ASSERT(nn_id >= 0. && nn_id <= 1.);
+}