初始化项目，由ModelHub XC社区提供模型

Model: nightmedia/granite-4.1-8B-TNG-Coder-V11-2800-Heretic-BF16
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model:
+- ibm-granite/granite-4.1-8b
+- treadon/granite-4.1-8b-Abliterated-AND-Disinhibited
+- nightmedia/granite-4.1-8B-TNG-Coder-V11-2800-Heretic
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- finetune
+- granite-4.1
+- reasoning
+- thinking
+- emergent
+- mlx
+---
+
+# granite-4.1-8B-TNG-Coder-V11-2800-Heretic-BF16
+
+This model was trained on a base of treadon/granite-4.1-8b-Abliterated-AND-Disinhibited.
+
+The training was exclusively in backend development, and took place on DS9, with Spock and Data for Haskell, Worf for Golang, Odo for Python, assisted by Garak, Quark, and Q.
+
+The teacher was a Qwen3.6-35B-A3B with special tuning, profiled to respond in character, think, and serve humour as needed. A second round of training added a rich set of Claude traces, mixed in with lessons already learned.
+
+It has thinking mode by default, unlike the parent model.
+
+```brainwaves
+         arc   arc/e boolq hswag obkqa piqa  wino
+bf16     0.558,0.760,0.864,0.747,0.440,0.803,0.713
+mxfp8    0.559,0.758,0.860,0.744,0.456,0.803,0.727
+q8-hi    0.560,0.758,0.863,0.747,0.432,0.803,0.709
+q8       0.558,0.759,0.865,0.747,0.440,0.802,0.708
+q6-hi    0.561,0.761,0.862,0.747,0.438,0.806,0.708
+```
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("granite-4.1-8B-TNG-Coder-V11-2800-Heretic-BF16")
+
+prompt = "hello"
+
+if tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, add_generation_prompt=True, return_dict=False,
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```