初始化项目，由ModelHub XC社区提供模型

Model: SKIS-AI-Research/ODIN-C1
Source: Original Platform

README.md

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+---
+base_model:
+- LiquidAI/LFM2.5-1.2B-Base
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- lfm2
+license: apache-2.0
+language:
+- en
+datasets:
+- unsloth/alpaca-cleaned
+- uniquealexx/Kimi-K2.6-Thinking-200x
+- nvidia/Nemotron-Cascade-2-SFT-Data
+- iamtarun/python_code_instructions_18k_alpaca
+- Entity-27th/ODIN-C1-SFT-Mix
+- Entity-27th/ODIN-C1-Realign
+---
+
+![odin](https://cdn-uploads.huggingface.co/production/uploads/6840dcb031d27bf31dcce30f/Bl51h7PoZ3XdhV4QDtdFX.png)
+
+ODIN-C1(**O**n-**D**evice accelerated **I**ntelligent **N**etwork-**C**ode **1**) is a sLM engineered specifically for on-device programming. 
+Based on LFM architecture, ODIN-C1 provides various advantages over other models such as hardware-agnostic inference affinity.
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "Can you write a simple Python script that shows the Fibonacci sequence?"
+generator = pipeline("text-generation", model="SKIS-AI-Research/ODIN-C1", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+This model was trained with Supervised Fine-Tuning(SFT) on a single AMD Instinct MI300X accelerator and GeForce RTX 4070 Laptop GPU.
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@software{vonwerra2020trl,
+  title   = {{TRL: Transformers Reinforcement Learning}},
+  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
+  license = {Apache-2.0},
+  url     = {https://github.com/huggingface/trl},
+  year    = {2020}
+}
+``
+
+This lfm2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)