commit ecaabdcad3443a11497dd75457b7cd342337a3a5
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Tue Sep 1 12:58:16 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: build-small-hackathon/mind-of-tashi-micro-grpo-gguf
    Source: Original Platform

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+---
+license: apache-2.0
+base_model: build-small-hackathon/mind-of-tashi-micro-grpo
+tags:
+  - gguf
+  - llama-cpp
+  - qwen3moe
+  - reasoning
+  - game
+  - bilingual
+  - grpo
+language:
+  - en
+  - hi
+  - sa
+pipeline_tag: text-generation
+---
+
+# The Mind of Tashi — micro student (GRPO, GGUF)
+
+The GRPO-trained student exported to **GGUF** for llama.cpp. Drop-in
+replacement for the SFT GGUF in the playable
+[Space](https://huggingface.co/spaces/build-small-hackathon/mind-of-tashi)
+after an A/B (winning the game is not enough — the mind-scroll prose must
+hold up). Transformers source:
+[`…/mind-of-tashi-micro-grpo`](https://huggingface.co/build-small-hackathon/mind-of-tashi-micro-grpo).
+
+> **Build status:** this GGUF is **built at push time** from the GRPO
+> checkpoint — it does not exist as a by-product of training. Use the exact
+> same recipe as the SFT GGUF.
+
+## Files (after build)
+
+| File | Approx size | Use |
+|---|---|---|
+| `mind-of-tashi-micro-grpo-Q4_K_M.gguf` | ~256 MB | deployed candidate |
+| `mind-of-tashi-micro-grpo-f16.gguf` | ~786 MB | zero-loss reference |
+
+## Build recipe (no compiled binary needed)
+
+1. Download the GRPO transformers checkpoint **with `chat_template.jinja`**
+   (a missing template silently yields a garbage GGUF).
+2. `python convert_hf_to_gguf.py <ckpt> --outtype f16` → f16 GGUF.
+3. Quantise via the `llama-cpp-python` C binding:
+   ```python
+   import ctypes, llama_cpp
+   p = llama_cpp.llama_model_quantize_default_params()
+   p.ftype = 15  # LLAMA_FTYPE_MOSTLY_Q4_K_M
+   llama_cpp.llama_model_quantize(b"in-f16.gguf", b"out-Q4_K_M.gguf", ctypes.byref(p))
+   ```
+4. Grade via the format gate through `llama-cpp-python` (the real deploy path);
+   ship Q4 if it clears ≥15/20 and stays within ~5 ladder points of f16.
+
+### ⚠️ `norm_topk_prob` — required for llama.cpp
+
+Inherited `norm_topk_prob=true` from SFT; llama.cpp's `qwen3moe` graph
+hardcodes `norm_w=true` and a mismatched checkpoint produces garbage on every
+llama.cpp runtime. (See the SFT GGUF card.)
+
+## Usage
+
+```python
+from llama_cpp import Llama
+
+llm = Llama.from_pretrained(
+    repo_id="build-small-hackathon/mind-of-tashi-micro-grpo-gguf",
+    filename="mind-of-tashi-micro-grpo-Q4_K_M.gguf",
+    n_ctx=4096, n_gpu_layers=0, logits_all=True,
+)
+```
+
+## Part of the bundle
+
+Game Space · self-play dataset · SFT model + GGUF · OpenEnv gym ·
+GRPO model + **GGUF (this)** — all under `build-small-hackathon/mind-of-tashi-*`.
diff --git a/mind-of-tashi-micro-grpo-Q4_K_M.gguf b/mind-of-tashi-micro-grpo-Q4_K_M.gguf
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diff --git a/mind-of-tashi-micro-grpo-f16.gguf b/mind-of-tashi-micro-grpo-f16.gguf
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