mav23 / deepseek-math-7b-instruct-GGUF

huggingface.co
Total runs: 13
24-hour runs: 0
7-day runs: -15
30-day runs: -253
Model's Last Updated: October 30 2024

Introduction of deepseek-math-7b-instruct-GGUF

Model Details of deepseek-math-7b-instruct-GGUF

DeepSeek Chat

[🏠Homepage] | [🤖 Chat with DeepSeek LLM] | [Discord] | [Wechat(微信)]

Paper Link 👁️


1. Introduction to DeepSeekMath

See the Introduction 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。

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 for more details.

4. Contact

If you have any questions, please raise an issue or contact us at [email protected] .

Runs of mav23 deepseek-math-7b-instruct-GGUF on huggingface.co

13
Total runs
0
24-hour runs
-2
3-day runs
-15
7-day runs
-253
30-day runs

More Information About deepseek-math-7b-instruct-GGUF huggingface.co Model

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deepseek-math-7b-instruct-GGUF huggingface.co is an AI model on huggingface.co that provides deepseek-math-7b-instruct-GGUF's model effect (), which can be used instantly with this mav23 deepseek-math-7b-instruct-GGUF model. huggingface.co supports a free trial of the deepseek-math-7b-instruct-GGUF model, and also provides paid use of the deepseek-math-7b-instruct-GGUF. Support call deepseek-math-7b-instruct-GGUF model through api, including Node.js, Python, http.

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deepseek-math-7b-instruct-GGUF install

deepseek-math-7b-instruct-GGUF is an open source model from GitHub that offers a free installation service, and any user can find deepseek-math-7b-instruct-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of deepseek-math-7b-instruct-GGUF install, users can directly use deepseek-math-7b-instruct-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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