初始化项目，由ModelHub XC社区提供模型

Model: NotHereNorThere/Coral-v1.5-0.6B
Source: Original Platform

README.md

@@ -0,0 +1,102 @@
+---
+license: apache-2.0
+datasets:
+- Sidsidney/OpenThoughts-114k
+- teknium/OpenHermes-2.5
+language:
+- en
+- zh
+base_model:
+- Qwen/Qwen3-0.6B
+tags:
+- qwen
+- ties
+- merge
+- finetune
+- small
+- thinking
+- uncensored
+- coral
+pipeline_tag: text-generation
+---
+# Coral-v1.5-0.6B by NotHereNorThere
+
+A 0.6B parameter uncensored generalist with **adaptive Chain-of-Thought reasoning**, it decides on its own whether a question needs thinking or not. Built from a 5-donor TIES merge of Qwen3-0.6B finetunes, healed with a 1k row fine-tune pass.
+
+Part of the **Coral-v1.5** model family, which adds to the original CoralLM series (Llama 3.2 1B based). Coral-v1.5 moves to Qwen3 architecture for native `<think>` support and significantly improved base capability.
+
+---
+
+## What makes it interesting
+
+- **Adaptive CoT at 0.6B** — the model routes dynamically: simple questions get instant answers, complex reasoning tasks trigger `<think>` blocks. This accidently emerged from the fine-tune data mix rather than being explicitly trained.
+- **Uncensored** — refusal behavior has been removed via two abliterated donors. It just answers things.
+- **Correct arithmetic** — passes basic math with clean step-by-step working.
+
+---
+
+## Merge Recipe
+
+**Method:** TIES  
+**Base:** `Qwen/Qwen3-0.6B`  
+**Tool:** [mergekit](https://github.com/arcee-ai/mergekit)
+
+| Donor | Role | Weight | Density |
+|---|---|---|---|
+| `reaperdoesntknow/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT` | Thinking / reasoning | 0.30 | 0.5 |
+| `MihaiPopa-1/Qwen-3-0.6B-Claude-4.7-Opus-Distilled` | Claude-style CoT | 0.30 | 0.5 |
+| `suayptalha/Qwen3-0.6B-Code-Expert` | Code | 0.25 | 0.5 |
+| `DavidAU/Qwen3-0.6B-heretic-abliterated-uncensored` | De-alignment | 0.15 | 0.5 |
+| `huihui-ai/Huihui-Qwen3-0.6B-abliterated-v2` | De-alignment | 0.15 | 0.5 |
+
+```yaml
+base_model: Qwen/Qwen3-0.6B
+merge_method: ties
+dtype: bfloat16
+parameters:
+  normalize: true
+  int8_mask: true
+```
+
+---
+
+## Fine-tune
+
+Post-merge heal pass to fix coherence, identity, counting, and context retention. Also reinforces when to use CoT vs when to answer directly.
+
+- **500 rows** — [OpenHermes 2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5) (simple QA + instruction following)
+- **500 rows** — [OpenThoughts](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k) (reasoning with CoT)
+- **Method:** QLoRA + Flash Attention 2
+- **Total:** 1,000 rows, randomly sampled and shuffled
+
+The 50/50 split between non-CoT and CoT data is seemingly what produced the adaptive routing behavior.
+
+---
+
+## Evaluation
+
+Tested post-heal on the following:
+
+| Test | Result |
+|---|---|
+| Basic greeting | ✅ Clean, friendly, no loops |
+| Identity | ✅ Identifies as AI assistant |
+| Exact instruction following ("list 3 fruits") | ✅ Correct count and formatting |
+| Context retention across turns | ✅ Recalled user name correctly |
+| Math (47 × 83) | ✅ Correct (3,901) with clean working |
+| Prime number function | ✅ Correct implementation and examples |
+| One-sentence explanation | ✅ Stayed concise, no yapping |
+| Adaptive CoT routing | ✅ Emergent, skips think for simple, uses think for complex |
+| Uncensored | ✅ Refusals removed |
+
+
+---
+
+## Quant Guide
+| Quant | Quality |
+|---|---|
+| F16 | Star of the show, best |
+| Q6 | Should match F16 |
+| Q5 | Starts degrading |
+| Q4 | What could you run this on that's that bad |
+| Q3 | Don't |