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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+deepseek-math-7b-rl - GGUF
+- Model creator: https://huggingface.co/deepseek-ai/
+- Original model: https://huggingface.co/deepseek-ai/deepseek-math-7b-rl/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [deepseek-math-7b-rl.Q2_K.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q2_K.gguf) | Q2_K | 2.53GB |
+| [deepseek-math-7b-rl.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q3_K_S.gguf) | Q3_K_S | 2.92GB |
+| [deepseek-math-7b-rl.Q3_K.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q3_K.gguf) | Q3_K | 3.22GB |
+| [deepseek-math-7b-rl.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q3_K_M.gguf) | Q3_K_M | 3.22GB |
+| [deepseek-math-7b-rl.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q3_K_L.gguf) | Q3_K_L | 3.49GB |
+| [deepseek-math-7b-rl.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.IQ4_XS.gguf) | IQ4_XS | 3.56GB |
+| [deepseek-math-7b-rl.Q4_0.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q4_0.gguf) | Q4_0 | 3.73GB |
+| [deepseek-math-7b-rl.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.IQ4_NL.gguf) | IQ4_NL | 3.74GB |
+| [deepseek-math-7b-rl.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q4_K_S.gguf) | Q4_K_S | 3.75GB |
+| [deepseek-math-7b-rl.Q4_K.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q4_K.gguf) | Q4_K | 3.93GB |
+| [deepseek-math-7b-rl.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q4_K_M.gguf) | Q4_K_M | 3.93GB |
+| [deepseek-math-7b-rl.Q4_1.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q4_1.gguf) | Q4_1 | 4.1GB |
+| [deepseek-math-7b-rl.Q5_0.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q5_0.gguf) | Q5_0 | 4.48GB |
+| [deepseek-math-7b-rl.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q5_K_S.gguf) | Q5_K_S | 4.48GB |
+| [deepseek-math-7b-rl.Q5_K.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q5_K.gguf) | Q5_K | 4.59GB |
+| [deepseek-math-7b-rl.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q5_K_M.gguf) | Q5_K_M | 4.59GB |
+| [deepseek-math-7b-rl.Q5_1.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q5_1.gguf) | Q5_1 | 4.86GB |
+| [deepseek-math-7b-rl.Q6_K.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q6_K.gguf) | Q6_K | 5.28GB |
+| [deepseek-math-7b-rl.Q8_0.gguf](https://huggingface.co/RichardErkhov/deepseek-ai_-_deepseek-math-7b-rl-gguf/blob/main/deepseek-math-7b-rl.Q8_0.gguf) | Q8_0 | 6.84GB |
+
+
+
+
+Original model description:
+---
+license: other
+license_name: deepseek
+license_link: https://github.com/deepseek-ai/DeepSeek-Math/blob/main/LICENSE-MODEL
+---
+
+
+<p align="center">
+<img width="500px" alt="DeepSeek Chat" src="https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/images/logo.png?raw=true">
+</p>
+<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a>  |  <a href="https://chat.deepseek.com/">[🤖 Chat with DeepSeek LLM]</a>  |  <a href="https://discord.gg/Tc7c45Zzu5">[Discord]</a>  |  <a href="https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/images/qr.jpeg">[Wechat(微信)]</a> </p>
+
+<p align="center">
+  <a href="https://arxiv.org/pdf/2402.03300.pdf"><b>Paper Link</b>👁️</a>
+</p>
+
+<hr>
+
+
+
+
+
+### 1. Introduction to DeepSeekMath
+See the [Introduction](https://github.com/deepseek-ai/DeepSeek-Math) for more details.
+
+### 2. How to Use
+Here give some examples of how to use our model.
+
+**Chat Completion**
+
+❗❗❗ **Please use chain-of-thought prompt to test DeepSeekMath-Instruct and DeepSeekMath-RL:**
+
+- English questions: **{question}\nPlease reason step by step, and put your final answer within \\boxed{}.**
+
+- Chinese questions: **{question}\n请通过逐步推理来解答问题，并把最终答案放置于\\boxed{}中。**
+
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
+
+model_name = "deepseek-ai/deepseek-math-7b-instruct"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto")
+model.generation_config = GenerationConfig.from_pretrained(model_name)
+model.generation_config.pad_token_id = model.generation_config.eos_token_id
+
+messages = [
+    {"role": "user", "content": "what is the integral of x^2 from 0 to 2?\nPlease reason step by step, and put your final answer within \\boxed{}."}
+]
+input_tensor = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt")
+outputs = model.generate(input_tensor.to(model.device), max_new_tokens=100)
+
+result = tokenizer.decode(outputs[0][input_tensor.shape[1]:], skip_special_tokens=True)
+print(result)
+```
+
+Avoiding the use of the provided function `apply_chat_template`, you can also interact with our model following the sample template. Note that `messages` should be replaced by your input.
+
+```
+User: {messages[0]['content']}
+
+Assistant: {messages[1]['content']}<｜end▁of▁sentence｜>User: {messages[2]['content']}
+
+Assistant:
+```
+
+**Note:** By default (`add_special_tokens=True`), our tokenizer automatically adds a `bos_token` (`<｜begin▁of▁sentence｜>`) before the input text. Additionally, since the system prompt is not compatible with this version of our models, we DO NOT RECOMMEND including the system prompt in your input.
+
+### 3. License
+This code repository is licensed under the MIT License. The use of DeepSeekMath models is subject to the Model License. DeepSeekMath supports commercial use.
+
+See the [LICENSE-MODEL](https://github.com/deepseek-ai/DeepSeek-Math/blob/main/LICENSE-MODEL) for more details.
+
+### 4. Contact
+
+If you have any questions, please raise an issue or contact us at [service@deepseek.com](mailto:service@deepseek.com).
+
+
+