Add RLXP, F16 safetensors, F32 GGUF, and native .bin weight formats.

PUBLISH.md

@@ -3,6 +3,17 @@
 This directory is a **standalone** git repository. It is ignored by the parent
 `glucofm` code repo (see root `.gitignore`: `/artifacts/`).
 
+## Regenerate weights
+
+From the parent crate:
+
+```bash
+cargo run --release --features infer,onnx --example convert_weights -- \
+  --from artifacts/glucofm_encoder.onnx --all artifacts/
+cd artifacts && shasum -a 256 glucofm_encoder.* config.json LICENSE README.md PUBLISH.md \
+  | sort -k2 > SHA256SUMS
+```
+
 ## One-time setup
 
 ```bash
@@ -10,7 +21,7 @@ cd artifacts
 # already initialized if you used the prep script; otherwise:
 #   git init
 #   git lfs install
-#   git lfs track "*.onnx" "*.safetensors" "*.gguf"
+#   git lfs track "*.onnx" "*.safetensors" "*.gguf" "*.rlxp" "*.bin"
 
 huggingface-cli login
 # Create an empty model repo on HF (web UI or):
@@ -18,7 +29,7 @@ huggingface-cli login
 
 git remote add origin https://huggingface.co/<USER>/glucofm-encoder
 git add -A
-git commit -m "Add GlucoFM encoder weights (safetensors, GGUF, ONNX)"
+git commit -m "Add GlucoFM encoder weights (safetensors, GGUF, RLXP, ONNX, bin)"
 git push -u origin main
 ```
 

README.md

@@ -9,6 +9,7 @@ tags:
   - onnx
   - safetensors
   - gguf
+  - rlxp
   - healthcare
 pipeline_tag: feature-extraction
 ---
@@ -28,15 +29,21 @@ converted for the Rust [`glucofm`](https://crates.io/crates/glucofm) / RLX stack
 | File | Format | Notes |
 |------|--------|-------|
 | `glucofm_encoder.safetensors` | F32 safetensors | **Preferred** for `glucofm` load / train warm-start |
+| `glucofm_encoder.f16.safetensors` | F16 safetensors | ~2× smaller disk |
+| `glucofm_encoder.rlxp` | RLX package F32 | Flat mmap weight-only pack (`rlxp` / `infer` feature) |
+| `glucofm_encoder.f16.rlxp` | RLX package F16 | ~2× smaller RLXP |
+| `glucofm_encoder.f32.gguf` | GGUF F32 | Lossless GGUF dump |
 | `glucofm_encoder.f16.gguf` | GGUF F16 | Smaller disk; dequantized at load |
 | `glucofm_encoder.q8.gguf` | GGUF Q8_0 | ~4× smaller than F32; dequantized at load |
+| `glucofm_encoder.bin` | Native `GLFM` v1 | Compact glucofm-native dump |
 | `glucofm_encoder.onnx` | ONNX opset 17 | Upstream OpenCGM export (raw grid → 128-d embedding) |
 | `glucofm_encoder.onnx.meta.json` | JSON | Upstream export metadata |
 | `config.json` | JSON | Geometry + param counts for this package |
 | `SHA256SUMS` | text | Integrity checks |
 
-**Encoder params:** 435,633 (includes `online/mask_token` + `online/gaussian.rho`).  
-OpenCGM ONNX omits `mask_token`; `glucofm` inference defaults it to zeros.
+**Encoder params in weight files:** 435,505 (OpenCGM ONNX tensors).  
+`online/mask_token` (128) is omitted upstream; `glucofm` inference defaults it to zeros.  
+Full encoder including `mask_token` + `online/gaussian.rho`: **435,633**.
 
 Paper full trainable target (encoder + JEPA heads): **732,593**.
 
@@ -55,7 +62,7 @@ Paper full trainable target (encoder + JEPA heads): **732,593**.
 - Upstream community encoder: [`sfourdrinier/opencgm-stateevent`](https://huggingface.co/sfourdrinier/opencgm-stateevent)
 - OpenCGM project: [sfourdrinier/opencgm](https://github.com/sfourdrinier/opencgm)
 - Paper: [arXiv:2605.30865](https://arxiv.org/abs/2605.30865)
-- Conversion via `glucofm` `convert_weights` example (ONNX → safetensors / GGUF)
+- Conversion via `glucofm` `convert_weights --all` (ONNX → safetensors / GGUF / RLXP / `.bin`)
 
 Upstream ONNX meta (epoch 40 seed 17, raw stats, circadian, learnable σ) is kept in
 `glucofm_encoder.onnx.meta.json`.
@@ -63,10 +70,13 @@ Upstream ONNX meta (epoch 40 seed 17, raw stats, circadian, learnable σ) is kep
 ## Use with `glucofm`
 
 ```bash
-# After cloning this HF repo next to your project, or downloading files:
 cargo run --release --features infer --example infer -- \
   --weights /path/to/glucofm_encoder.safetensors
 
+# RLXP (same feature set)
+cargo run --release --features infer --example infer -- \
+  --weights /path/to/glucofm_encoder.rlxp
+
 cargo run --release --features hub --example train_from_hub -- \
   --weights /path/to/glucofm_encoder.safetensors --steps 50
 ```
@@ -75,14 +85,14 @@ cargo run --release --features hub --example train_from_hub -- \
 use glucofm::prelude::*;
 
 let mut model = GlucoFm::for_inference(GlucoFmConfig::default(), InferOptions::default(), &mut rng)?;
-model.load_weights_path("glucofm_encoder.safetensors")?;
+model.load_weights_path("glucofm_encoder.rlxp")?; // or .safetensors / .gguf / .bin
 let emb = model.encode_embedding_day(&day, &mut rng)?; // [128]
 ```
 
 ## Formats
 
-- Prefer **safetensors** for numeric fidelity with RLX `Param` graphs.
-- **GGUF** is for disk savings; runtime still uses dense F32/F16 params after load
+- Prefer **safetensors** or **RLXP F32** for numeric fidelity with RLX `Param` graphs.
+- **GGUF** / **RLXP F16** are for disk savings; runtime still uses dense F32/F16 params after load
   (no in-graph Q8 matmul).
 
 ## License

SHA256SUMS

@@ -1,5 +1,14 @@
-glucofm_encoder.f16.gguf  7be81464df67fabb0e25b120a6de173c14aa2a346100c4b49a8a41b230305fcd
-glucofm_encoder.onnx  b1349deffd15ab62a5a98d7c7c4a7e143bcf1dee7ad745b1e05533ff54f34768
-glucofm_encoder.onnx.meta.json  a84d1870d526ff06a4a5a6fdd403e44b93db2c545e584138b6de0b23fcfe7773
-glucofm_encoder.q8.gguf  999e21cb0fa8ef9e6cf1386de11fcee796af827182353af537d26089b4788ce5
-glucofm_encoder.safetensors  8a9a3c471e09ddfcb35e076f80c0ef86520ab2f56172b1a01fa03c7edae22d3b
+1c1dd960c71625f4dceaa67ebe62c1578a72a3f44c721a855dc5ccda4afb9a93  config.json
+35c98270c11f07a3188aeff47eafa4a783bd1d21b197b4ea2759fe9edae010e7  glucofm_encoder.bin
+7be81464df67fabb0e25b120a6de173c14aa2a346100c4b49a8a41b230305fcd  glucofm_encoder.f16.gguf
+856634ca98f1d465f5ae376eec10db129b03a81cd94ffb210f0428d5d952dac5  glucofm_encoder.f16.rlxp
+78a91d83af63f59761ad149ff20aa44403eeaf3580262ccd17931099290497e5  glucofm_encoder.f16.safetensors
+9e92a8c5ba562b25d5b69114447c996f6ec45858aa8bce97b9f3ed1fe3a21c53  glucofm_encoder.f32.gguf
+b1349deffd15ab62a5a98d7c7c4a7e143bcf1dee7ad745b1e05533ff54f34768  glucofm_encoder.onnx
+a84d1870d526ff06a4a5a6fdd403e44b93db2c545e584138b6de0b23fcfe7773  glucofm_encoder.onnx.meta.json
+999e21cb0fa8ef9e6cf1386de11fcee796af827182353af537d26089b4788ce5  glucofm_encoder.q8.gguf
+e8e3874dd11aced2a930fcce721a477b6558f929007835b9da32f2c6d8453985  glucofm_encoder.rlxp
+f8e0011ef59788d63a11c719390430b80e93dc33441f20459dd9308b0f30eacd  glucofm_encoder.safetensors
+239a03abbc4355ea6324838c521fcb02c03c7d4dc252f0b25badf051564a9f13  LICENSE
+d29ba5c21931c87cb31574c2c2d9c0482c340d9838075227f4b8ace0c5fdf54f  PUBLISH.md
+236efdf27f66c322428971838bcfd6d908d3af321438a071aedaf78cd99d2dde  README.md

config.json

@@ -17,14 +17,20 @@
     "delta_minutes": 5.0
   },
   "param_counts": {
-    "encoder": 435633,
+    "encoder_file_tensors": 435505,
+    "encoder_with_mask_token": 435633,
     "paper_trainable_full": 732593,
     "note": "ONNX export omits online/mask_token (128); glucofm infer zeros it by default"
   },
   "files": {
     "safetensors_f32": "glucofm_encoder.safetensors",
+    "safetensors_f16": "glucofm_encoder.f16.safetensors",
+    "rlxp_f32": "glucofm_encoder.rlxp",
+    "rlxp_f16": "glucofm_encoder.f16.rlxp",
+    "gguf_f32": "glucofm_encoder.f32.gguf",
     "gguf_f16": "glucofm_encoder.f16.gguf",
     "gguf_q8": "glucofm_encoder.q8.gguf",
+    "bin_glfm": "glucofm_encoder.bin",
     "onnx": "glucofm_encoder.onnx",
     "onnx_meta": "glucofm_encoder.onnx.meta.json"
   },

glucofm_encoder.bin

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+size 1745050

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+size 886198

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+size 878426

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