# Agent 152: MAMBA-2 Model Dtype Fix (F32→F64) **Status**: ✅ COMPLETE **Mission**: Fix model initialization to use F64 instead of F32 for VarBuilder and Tensor operations **Time**: 5 minutes --- ## Changes Made Fixed all `DType::F32` references to `DType::F64` in `/home/jgrusewski/Work/foxhunt/ml/src/mamba/mod.rs`: ### Locations Fixed (6 instances): 1. **Line 228**: `Tensor::zeros` for hidden state creation - `DType::F32` → `DType::F64` 2. **Line 257**: `Tensor::ones` for delta tensor - `DType::F32` → `DType::F64` 3. **Line 265**: `Tensor::zeros` for SSM hidden state - `DType::F32` → `DType::F64` 4. **Line 428**: `VarBuilder::from_varmap` initialization - `DType::F32` → `DType::F64` 5. **Line 662**: `Tensor::eye` for identity matrix in `discretize_ssm` - `DType::F32` → `DType::F64` 6. **Line 1096**: `Tensor::eye` for identity matrix in `discretize_ssm_with_gradients` - `DType::F32` → `DType::F64` --- ## Additional Fixes Found During review, found that Agent 147/151 had already fixed: - Line 656-657: `discretize_ssm` now uses F64 directly (no F32 conversion) - Line 683-684: `discretize_ssm_input` now uses F64 directly - Line 949: `loss.to_scalar::()` (correct dtype) - Line 1089-1090: `discretize_ssm_with_gradients` uses F64 directly - Line 1123-1124: `discretize_ssm_input_with_gradients` uses F64 directly --- ## Impact **Root Cause Fixed**: Model initialization now consistently uses F64 precision throughout, matching the output of `mean_all()` and avoiding dtype mismatches. **Expected Result**: - No more "incompatible dtype" errors during model training - Consistent F64 precision across all SSM state matrices - Proper gradient flow without dtype conversion issues --- ## Files Modified - `/home/jgrusewski/Work/foxhunt/ml/src/mamba/mod.rs` (6 changes) --- ## Testing Required **No compilation performed** (per resource constraint). **Recommended Validation**: ```bash cargo check -p ml cargo test -p ml --test mamba_tests ``` --- ## Next Steps 1. Compile `ml` crate to verify no dtype errors 2. Run MAMBA-2 unit tests 3. Validate model initialization succeeds with F64 precision 4. Test training loop with gradient computations --- **Agent 152 Complete** - MAMBA-2 dtype consistency achieved (F32→F64)