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--- |
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license: mit |
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language: |
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- zh |
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- en |
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base_model: |
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- inclusionAI/Ling-lite |
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pipeline_tag: text-generation |
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library_name: transformers |
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--- |
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# Ring-lite-distill-preview |
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<p align="center"> |
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<img src="https://huggingface.co/inclusionAI/Ring-lite-distill-preview/resolve/main/ant-bailing.png" width="100"/> |
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<p> |
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<p align="center"> |
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🤗 <a href="https://huggingface.co/inclusionAI">Hugging Face</a> |
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<p> |
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## Introduction |
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Ring-lite-distill-preview is an MoE LLM provided and open-sourced by InclusionAI, which has 16.8B parameters with 2.75B activated parameters. It was fine-tuned from [Ling-lite](https://modelscope.cn/models/inclusionAI/Ling-lite) using extensive reasoning-focused instruction data. This model delivers performance comparable to DeepSeek-R1-Distill-Qwen-7B on reasoning benchmarks while achieving better results on general benchmarks, especially superior performance on function-calling evaluation benchmarks (e.g., TEval, BFCl_v2) and instruction-following benchmarks (e.g., IFEval). This demonstrates that Ring-lite-distill is a more balanced and versatile model. Additionaly, it maintains competitive latency and throughput compared to other reasoning LLMs of similar size. |
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## Model Downloads |
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<div align="center"> |
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| **Model** | **#Total Params** | **#Activated Params** | **Context Length** | **Download** | |
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| :----------------: | :---------------: | :-------------------: | :----------------: | :----------: | |
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| Ring-lite-distill-preview | 16.8B | 2.75B | 64K | [🤗 HuggingFace](https://huggingface.co/inclusionAI/Ring-lite-distill) | |
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</div> |
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## Evaluation |
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In order to fully evaluate the model's performance, we examined Ring-lite-distill-preview in terms of both reasoning ability and general ability. |
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### Reasoning ability |
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<div align="center"> |
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| **Model** | **AIME24** | **MATH-500** | **GPQA-diamond** | **LiveCodeBench** | |
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| :----------------: | :---------------: | :-------------------: | :----------------: | :----------: | |
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| DeepSeek-R1-Distill-Qwen-7B (reported) | 55.5 | 92.8 | 49.1 | 37.6 | |
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| DeepSeek-R1-Distill-Qwen-7B (reproduce) | 53.2 | 93.7 | 50.4 | 36.5 | |
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| Ring-lite-distill-preview | 56.3 | 93.7 | 46.2 | 31.9 | |
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</div> |
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### General ability |
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<div align="center"> |
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| **Model** | **IFEval** | **T-eval** | **BFCL_v2** | **MMLU** | |
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| :----------------: | :---------------: | :-------------------: | :----------------: | :----------: | |
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| DeepSeek-R1-Distill-Qwen-7B (reproduce) | 39.3 | 26.9 | 38.9 | 44.1 | |
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| Ring-lite-distill-preview | 75.3 | 81.3 | 63.0 | 63.3 | |
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</div> |
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More details will be reported in our [technical report](https://github.com/inclusionAI/Ring/blob/main/Ring_Lite_Distill_Preview.pdf). |
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## Quickstart |
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### 🤗 Hugging Face Transformers |
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Here is a code snippet to show you how to use the chat model with `transformers`: |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_name = "inclusionAI/Ring-lite-distill-preview" |
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model = AutoModelForCausalLM.from_pretrained( |
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model_name, |
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torch_dtype="auto", |
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device_map="auto" |
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) |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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prompt = "Give me a short introduction to large language models." |
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messages = [ |
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{"role": "system", "content": "You are Ring, an assistant created by inclusionAI"}, |
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{"role": "user", "content": prompt} |
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] |
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text = tokenizer.apply_chat_template( |
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messages, |
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tokenize=False, |
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add_generation_prompt=True |
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) |
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model_inputs = tokenizer([text], return_tensors="pt").to(model.device) |
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generated_ids = model.generate( |
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**model_inputs, |
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max_new_tokens=8192 |
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) |
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generated_ids = [ |
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output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids) |
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] |
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0] |
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``` |
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## Dataset |
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The training data of Ring-lite-distill-preview will be released soon. |
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## Deployment |
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Please refer to [GitHub](https://github.com/inclusionAI/Ring/blob/main/README.md) |
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## License |
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This code repository is licensed under [the MIT License](https://huggingface.co/inclusionAI/Ring-lite-distill/blob/main/LICENSE). |
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## Citation |
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[TBD] |
