Add TimeBraid-6.7B contextual forecasting results

Add [TimeBraid-6.7B](https://arxiv.org/abs/2609.29792) ([code](https://github.com/CharonWangg/TimeBraid)) to GIFT-Eval-CTX under `eval/timebraid_6p7b_demo_rewrite_v1/`, with **History + Macro + Micro** inputs. This run used the fixed 6.7B DSFP36 SFT-v2.8 checkpoint-28000 and one demo-style Context renderer for every row. We render the supplied effect JSON as natural-language future-step conditions and convert its level/amplitude coordinates to raw units using observed-history statistics. It did not use a forecast mixture or row-wise model selection.

| 78-group relative MASE ↓ | Overall | Short | Medium | Long |
| --- | ---: | ---: | ---: | ---: |
| TimeBraid-6.7B | 0.773281527744585 | 0.6847064982335485 | 0.8719738490515145 | 0.8640818145482951 |

Inference used BF16, FlashAttention 2, and TimeBraid's native preopened numeric forecast route. Missing observed-history values were filled by leading backfill followed by forward fill, using observed history only. The dataset was pinned to revision `39a6b3555157a24e53cd1ff41d8f0e5e11fc375b`. Macro/Micro effects are future-derived benchmark guidance; the renderer was checked on a 232-window pilot from the same released test set before the full run, so this is descriptive public-test performance rather than independently held-out validation.

The single Parquet covers all 10,000 official keys with exact finite forecast horizons and finite nonnegative MASE. Local scoring and a read-only replay through the current Space loader both reproduce the values above.

eval/timebraid_6p7b_demo_rewrite_v1/config.json

@@ -0,0 +1,6 @@
+{
+  "id": "timebraid_6p7b_demo_rewrite_v1",
+  "name": "TimeBraid-6.7B",
+  "category": "TSFM",
+  "input": "History + Macro + Micro"
+}

eval/timebraid_6p7b_demo_rewrite_v1/timebraid_6p7b_demo_rewrite_v1.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e784656fd1ee9b63f3322319221194fd390403f0c69851fd7f86a69d264718b8
+size 18142932