初始化项目，由ModelHub XC社区提供模型

Model: NotHereNorThere/CoralLM-1b
Source: Original Platform

README.md

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+---
+library_name: transformers
+model_name: corallm-1b-healed
+tags:
+- generated_from_trainer
+- sft
+- trl
+- llama
+- ties
+- corallm
+- openhermes
+- uncensored
+- 1b
+licence: license
+license: apache-2.0
+datasets:
+- teknium/OpenHermes-2.5
+language:
+- en
+base_model:
+- meta-llama/Llama-3.2-1B-Instruct
+- bunnycore/Llama-3.2-1B-General-Best
+- ai-nexuz/llama-3.2-1b-instruct-fine-tuned
+- EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.2
+pipeline_tag: text-generation
+---
+# CoralLM-1B
+
+CoralLM-1B after a short instruction-tuning pass to clean up the scattered
+behavior of the raw merge — tighter answers, cleaner endings, less rambling.
+
+## Merge
+
+- **Method:** TIES (`density 0.5` per model, `normalize: true`)
+- **Base / anchor:** `meta-llama/Llama-3.2-1B-Instruct`
+- **Components:**
+  | Model | Weight | Brings |
+  |---|---|---|
+  | `EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.2` | 0.30 | reasoning, CoT |
+  | `ai-nexuz/llama-3.2-1b-instruct-fine-tuned` | 0.30 | math, coding, logic |
+  | `bunnycore/Llama-3.2-1B-General-Best` | 0.25 | general , creative, uncensored |
+
+## Heal pass (training)
+
+- **Method:** QLoRA (4-bit NF4, LoRA r=16)
+- **Data:** 200 rows sampled from `teknium/OpenHermes-2.5`
+- **Epochs:** 3 · **max_len:** 1024 · **grad_accum:** 8 · packing on
+- **Loss:** stable ~1.5 throughout (learning without overfitting the 200 rows)
+
+## Tests in Files
+
+## Assessment
+
+The heal pass did its job: output is tighter, the poem lost its essay-style
+afterword, and answers end when they should. Reasoning ability is unchanged,
+just more confidently expressed, which cuts both ways (cleaner right answers,
+more assertive wrong ones). The 200-row pass tuned behavior without touching the
+merged capabilities underneath.
+
+**Safety:** the heal pass did not restore refusal behavior. Still effectively
+uncensored, will attempt unsafe requests.