初始化项目，由ModelHub XC社区提供模型

Model: prithivMLmods/Pyxidis-Manim-CodeGen-1.7B
Source: Original Platform

README.md

@@ -0,0 +1,104 @@
+---
+license: apache-2.0
+language:
+- en
+base_model:
+- Qwen/Qwen3-1.7B
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- text-generation-inference
+- code
+- trl
+---
+
+![1.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/4LKArEzZk53evXdv_no2u.png)
+
+# **Pyxidis-Manim-CodeGen-1.7B (Experimental)**
+
+> **Pyxidis-Manim-CodeGen-1.7B** is an **experimental math animation coding model** fine-tuned on **Qwen/Qwen3-1.7B** using **Manim-CodeGen code traces**.
+> It is specialized for **Python-based mathematical animations with Manim**, making it ideal for educators, researchers, and developers working on math visualization and animation pipelines.
+
+> \[!note]
+> GGUF: [https://huggingface.co/prithivMLmods/Pyxidis-Manim-CodeGen-1.7B-GGUF](https://huggingface.co/prithivMLmods/Pyxidis-Manim-CodeGen-1.7B-GGUF)
+
+---
+
+## **Key Features**
+
+1. **Manim-Specific Code Generation**
+   Trained on **Manim-CodeGen traces**, optimized for **Python-based animation scripting** of mathematical concepts and visual proofs.
+
+2. **Math + Code Synergy**
+   Generates step-by-step **math derivations with corresponding animation code**, bridging symbolic reasoning with visualization.
+
+3. **Animation Workflow Optimization**
+   Provides structured code for **scenes, transformations, graphs, and equations** in Manim, reducing boilerplate and debugging effort.
+
+4. **Python-Centric Reasoning**
+   Produces **clean, modular, and reusable Python code**, supporting educational and research-driven animation pipelines.
+
+5. **Structured Output Mastery**
+   Capable of outputting in **Python**, **Markdown**, and **LaTeX**, ideal for tutorials, educational notebooks, and automated video generation workflows.
+
+6. **Lightweight but Specialized**
+   Focused on **Manim coding efficiency** while maintaining a deployable footprint for **GPU clusters** and **research labs**.
+
+---
+
+## **Quickstart with Transformers**
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "prithivMLmods/Pyxidis-Manim-CodeGen-1.7B"
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype="auto",
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+prompt = "Write a Manim script to animate the Pythagorean theorem using squares on the triangle's sides."
+
+messages = [
+    {"role": "system", "content": "You are a Python coding assistant specialized in Manim-based math animations."},
+    {"role": "user", "content": prompt}
+]
+
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+
+model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+generated_ids = model.generate(
+    **model_inputs,
+    max_new_tokens=512
+)
+generated_ids = [
+    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
+]
+
+response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
+print(response)
+```
+
+---
+
+## **Intended Use**
+
+* **Manim-based math animation coding** for research, teaching, and content creation
+* **Educational visualization assistant** to convert math problems into animations
+* **Python tutoring tool** for math-heavy animation workflows
+* **Prototype generator** for interactive STEM video content
+
+## **Limitations**
+
+* Experimental model – may generate code requiring manual debugging
+* Limited to **Manim coding workflows**, not general-purpose code assistant
+* May not handle **complex multi-scene projects** without iterative refinement
+* Prioritizes structured math + animation reasoning, less optimized for general dialogue