初始化项目，由ModelHub XC社区提供模型

Model: nllg/TikZilla-3B-RL
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model:
+- nllg/TikZilla-3B
+pipeline_tag: text-generation
+tags:
+- tikz
+- latex
+- code-generation
+- scientific-figures
+---
+
+# Model Card for TikZilla-3B-RL
+
+TikZilla-3B-RL is a language model for generating TikZ/LaTeX figures from natural language descriptions.
+
+It is based on **TikZilla-3B** and was trained with **reinforcement learning (RL)** on **DaTikZ-V4** for scientific figure generation.
+
+## Installation
+
+```bash
+pip install torch==2.5.1 transformers==4.53.2 accelerate==1.8.1
+```
+
+## Usage
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
+
+model_id = "nllg/TikZilla-3B-RL"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+
+eos_token_id = tokenizer.convert_tokens_to_ids("<|im_end|>")
+pad_token_id = tokenizer.pad_token_id or tokenizer.eos_token_id or eos_token_id
+
+gen_config = GenerationConfig(
+    do_sample=True,
+    temperature=1.0,
+    top_p=0.9,
+    max_new_tokens=2048,
+    eos_token_id=eos_token_id,
+    pad_token_id=pad_token_id,
+)
+
+your_input_description = "A scientific line plot showing two curves. The x-axis is labeled 'Time' ranging from 0 to 100, and the y-axis is labeled 'Value' ranging from 0 to 1. The first curve is a blue solid line that gradually increases from near 0 and levels off around 0.9. The second curve is a red dashed line that rises to a peak around the middle of the plot and then decreases. A legend in the upper right labels the blue line as 'Model A' and the red dashed line as 'Model B'. The background is white with light gray grid lines."
+
+messages = [
+    {
+        "role": "user",
+        "content": (
+            "Generate a complete LaTeX document that contains a TikZ figure according to the following requirements:\n"
+            + your_input_description +
+            "\nWrap your code using \\documentclass[tikz]{standalone}, and include \\begin{document}...\\end{document}. "
+            "Only output valid LaTeX code with no extra text."
+        ),
+    }
+]
+
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True,
+)
+
+inputs = tokenizer([text], return_tensors="pt").to(model.device)
+output_ids = model.generate(**inputs, generation_config=gen_config)
+response_ids = output_ids[0][len(inputs["input_ids"][0]):]
+output = tokenizer.decode(response_ids, skip_special_tokens=True)
+
+print(output)
+```