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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,78 @@
+---
+license: apache-2.0
+library_name: splash
+pipeline_tag: image-text-to-text
+inference: false
+base_model:
+  - migtissera/Tess-4.5-27B
+  - incoai/Qwen3.8-27B-DFlash2
+tags:
+  - splash
+  - apple-silicon
+  - dflash2
+  - 4-bit
+---
+
+# Tess-4.5-27B for Splash
+
+A [Splash](https://github.com/incoai/splash) package of
+[Tess-4.5-27B](https://huggingface.co/migtissera/Tess-4.5-27B), a
+Qwen3.8-27B fine-tune, for LM Studio's Splash runtime on Apple silicon.
+
+## Credit
+
+- **The model: [Tess-4.5-27B](https://huggingface.co/migtissera/Tess-4.5-27B)
+  by [migtissera](https://huggingface.co/migtissera).** This package is
+  only a re-packaging of their fine-tune into Splash format — all credit
+  for the model itself goes to them. None of this would exist without
+  their work.
+- Splash engine, and the official Qwen3.8-27B Splash package this
+  conversion reuses the DFlash 2 draft and vision tower from:
+  [Inco AI](https://huggingface.co/incoai).
+- Conversion tooling:
+  [publicExcess/splash-converter](https://github.com/publicExcess/splash-converter).
+
+Converted from the BF16 checkpoint (revision
+`91b231133470bd147aac8036ed94d35e9bf1dc13`) with the community
+[splash-converter](https://github.com/publicExcess/splash-converter).
+The DFlash 2 draft and the vision tower are reused from Inco AI's
+official Qwen3.8-27B Splash package — the draft is the standard
+Qwen3.8-27B one, not retrained for this fine-tune. Package format:
+`splash-packed-q4`, schema 3, 78 artifacts, ~17.4 GB.
+
+## Measured speed
+
+Mac Studio, Apple M5 Max, 128 GB. Identical ~60-token prompt,
+temperature 0, 1,000 max tokens, one model resident at a time,
+decode tok/s excluding prefill:
+
+| Host | Decode tok/s |
+| --- | --- |
+| Tess-4.5-27B, this package in LM Studio | 77.6 |
+| Qwen3.8-27B, official package in LM Studio | 79.5 |
+| Tess-4.5-27B, standalone Splash server (MLX build) | 60.4 |
+| Tess-4.5-27B, MLX in LM Studio | 33.0 |
+
+## Use with LM Studio
+
+Requires an M3 or newer Mac, macOS 26.4 or later, 36 GB memory
+minimum (48 GB+ recommended) and the Splash runtime (Settings →
+Runtime). Download this repo into your LM Studio models folder;
+it is cataloged as a Splash model and loads on the Splash engine.
+
+## Use with the standalone server
+
+Current standalone Splash loads MLX checkpoints directly and no
+longer loads packages. Serve the MLX build instead:
+
+```sh
+brew install incoai/tap/splash
+splash serve --model juno/Tess-4.5-27B-MLX-4bit
+```
+
+## Notes
+
+- The package carries no `generation_config.json` (the format has
+  nowhere to put it); set sampling in your client. The `/v1` API
+  defaults to greedy decoding.
+- Converted and measured by Juno for Duckets, 2026-10-19.

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