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Browse files- README.md +72 -0
- cal_data.safetensors +3 -0
- config.json +26 -0
- hidden_states.safetensors +3 -0
- huggingface-metadata.txt +6 -0
- measurement.json +0 -0
- model.safetensors.index.json +280 -0
- output.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +27 -0
README.md
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---
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license: other
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license_name: deepseek
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license_link: https://github.com/deepseek-ai/DeepSeek-Math/blob/main/LICENSE-MODEL
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---
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<p align="center">
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<img width="500px" alt="DeepSeek Chat" src="https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/images/logo.png?raw=true">
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</p>
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<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>
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<p align="center">
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<a href="https://arxiv.org/pdf/2402.03300.pdf"><b>Paper Link</b>👁️</a>
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</p>
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<hr>
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### 1. Introduction to DeepSeekMath
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See the [Introduction](https://github.com/deepseek-ai/DeepSeek-Math) for more details.
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### 2. How to Use
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Here give some examples of how to use our model.
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**Chat Completion**
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
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model_name = "deepseek-ai/deepseek-math-7b-rl"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto")
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model.generation_config = GenerationConfig.from_pretrained(model_name)
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model.generation_config.pad_token_id = model.generation_config.eos_token_id
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messages = [
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{"role": "user", "content": "what is the integral of x^2 from 0 to 2?"}
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]
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input_tensor = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt")
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outputs = model.generate(input_tensor.to(model.device), max_new_tokens=100)
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result = tokenizer.decode(outputs[0][input_tensor.shape[1]:], skip_special_tokens=True)
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print(result)
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```
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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.
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```
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User: {messages[0]['content']}
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Assistant: {messages[1]['content']}<|end▁of▁sentence|>User: {messages[2]['content']}
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Assistant:
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```
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**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.
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### 3. License
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This code repository is licensed under the MIT License. The use of DeepSeekMath models is subject to the Model License. DeepSeekMath supports commercial use.
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See the [LICENSE-MODEL](https://github.com/deepseek-ai/DeepSeek-Math/blob/main/LICENSE-MODEL) for more details.
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### 4. Contact
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If you have any questions, please raise an issue or contact us at [[email protected]](mailto:[email protected]).
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cal_data.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:41be37cb39280ccb28b2872bd2ce70980ee950fd453083a4ca90fdb227b176f7
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size 1638488
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 100000,
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"eos_token_id": 100001,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"moe_intermediate_size": 11008,
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"num_attention_heads": 32,
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"num_hidden_layers": 30,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 10000,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.33.1",
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"use_cache": true,
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"vocab_size": 102400
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}
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hidden_states.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:87f9d092966fa597133a904cedd354a59c9aa445fcd33ddbd9b5ec93eac9e54f
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size 1677730376
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huggingface-metadata.txt
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url: https://huggingface.co/deepseek-ai/deepseek-math-7b-rl
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branch: main
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download date: 2024-02-19 03:15:05
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sha256sum:
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133cf22e197ad3145a47e786733ece3428845a876f53734b698cd8c3a333f822 pytorch_model-00001-of-000002.bin
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ed67f683f774f8b98a08a0591c39d53d63c53da77657b29a4df4c4e665ba3e5f pytorch_model-00002-of-000002.bin
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measurement.json
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model.safetensors.index.json
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|
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}
|
280 |
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}
|
output.safetensors
ADDED
@@ -0,0 +1,3 @@
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:7ac6fc7bb7e931f731839b47a20fd16dc10a5c0a75b4ae32b2a2e1100d2b3be2
|
3 |
+
size 7239869328
|
tokenizer.json
ADDED
The diff for this file is too large to render.
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|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,27 @@
|
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|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"bos_token": {
|
5 |
+
"__type": "AddedToken",
|
6 |
+
"content": "<|begin▁of▁sentence|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"clean_up_tokenization_spaces": false,
|
13 |
+
"eos_token": {
|
14 |
+
"__type": "AddedToken",
|
15 |
+
"content": "<|end▁of▁sentence|>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": true,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false
|
20 |
+
},
|
21 |
+
"legacy": true,
|
22 |
+
"model_max_length": 4096,
|
23 |
+
"sp_model_kwargs": {},
|
24 |
+
"unk_token": null,
|
25 |
+
"tokenizer_class": "LlamaTokenizerFast",
|
26 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ 'User: ' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ 'Assistant: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '\n\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}"
|
27 |
+
}
|