|
--- |
|
license: other |
|
license_name: deepseek |
|
license_link: https://github.com/deepseek-ai/DeepSeek-V2/blob/main/LICENSE-MODEL |
|
--- |
|
|
|
GGUF version made with [llama.cpp 705b7ec](https://github.com/ggerganov/llama.cpp/commit/705b7ecf60e667ced57c15d67aa86865e3cc7aa7) |
|
|
|
Original model [deepseek-ai/DeepSeek-V2-Chat-0628](https://huggingface.co/deepseek-ai/DeepSeek-V2-Chat-0628) |
|
|
|
<!-- markdownlint-disable first-line-h1 --> |
|
<!-- markdownlint-disable html --> |
|
<!-- markdownlint-disable no-duplicate-header --> |
|
|
|
<div align="center"> |
|
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V2" /> |
|
</div> |
|
<hr> |
|
<div align="center" style="line-height: 1;"> |
|
<a href="https://www.deepseek.com/" target="_blank" style="margin: 2px;"> |
|
<img alt="Homepage" src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/badge.svg?raw=true" style="display: inline-block; vertical-align: middle;"/> |
|
</a> |
|
<a href="https://chat.deepseek.com/" target="_blank" style="margin: 2px;"> |
|
<img alt="Chat" src="https://img.shields.io/badge/🤖%20Chat-DeepSeek%20V2-536af5?color=536af5&logoColor=white" style="display: inline-block; vertical-align: middle;"/> |
|
</a> |
|
<a href="https://huggingface.co/deepseek-ai" target="_blank" style="margin: 2px;"> |
|
<img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-DeepSeek%20AI-ffc107?color=ffc107&logoColor=white" style="display: inline-block; vertical-align: middle;"/> |
|
</a> |
|
</div> |
|
|
|
<div align="center" style="line-height: 1;"> |
|
<a href="https://discord.gg/Tc7c45Zzu5" target="_blank" style="margin: 2px;"> |
|
<img alt="Discord" src="https://img.shields.io/badge/Discord-DeepSeek%20AI-7289da?logo=discord&logoColor=white&color=7289da" style="display: inline-block; vertical-align: middle;"/> |
|
</a> |
|
<a href="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/qr.jpeg?raw=true" target="_blank" style="margin: 2px;"> |
|
<img alt="Wechat" src="https://img.shields.io/badge/WeChat-DeepSeek%20AI-brightgreen?logo=wechat&logoColor=white" style="display: inline-block; vertical-align: middle;"/> |
|
</a> |
|
<a href="https://twitter.com/deepseek_ai" target="_blank" style="margin: 2px;"> |
|
<img alt="Twitter Follow" src="https://img.shields.io/badge/Twitter-deepseek_ai-white?logo=x&logoColor=white" style="display: inline-block; vertical-align: middle;"/> |
|
</a> |
|
</div> |
|
|
|
<div align="center" style="line-height: 1;"> |
|
<a href="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/LICENSE-CODE" style="margin: 2px;"> |
|
<img alt="Code License" src="https://img.shields.io/badge/Code_License-MIT-f5de53?&color=f5de53" style="display: inline-block; vertical-align: middle;"/> |
|
</a> |
|
<a href="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/LICENSE-MODEL" style="margin: 2px;"> |
|
<img alt="Model License" src="https://img.shields.io/badge/Model_License-Model_Agreement-f5de53?&color=f5de53" style="display: inline-block; vertical-align: middle;"/> |
|
</a> |
|
</div> |
|
|
|
<p align="center"> |
|
<a href="#2-model-downloads">Model Download</a> | |
|
<a href="#3-evaluation-results">Evaluation Results</a> | |
|
<a href="#4-model-architecture">Model Architecture</a> | |
|
<a href="#6-api-platform">API Platform</a> | |
|
<a href="#8-license">License</a> | |
|
<a href="#9-citation">Citation</a> |
|
</p> |
|
|
|
<p align="center"> |
|
<a href="https://arxiv.org/abs/2405.04434"><b>Paper Link</b>👁️</a> |
|
</p> |
|
|
|
# DeepSeek-V2-Chat-0628 |
|
|
|
## 1. Introduction |
|
|
|
DeepSeek-V2-Chat-0628 is an improved version of DeepSeek-V2-Chat. For model details, please visit [DeepSeek-V2 page](https://huggingface.co/deepseek-ai/DeepSeek-V2-Chat) for more information. |
|
|
|
DeepSeek-V2-Chat-0628 has achieved remarkable performance on the LMSYS Chatbot Arena Leaderboard: |
|
|
|
Overall Ranking: #11, outperforming all other open-source models. |
|
|
|
<p align="center"> |
|
<img width="90%" src="figures/arena1.jpeg" /> |
|
</p> |
|
|
|
Coding Arena Ranking: #3, showcasing exceptional capabilities in coding tasks. |
|
|
|
<p align="center"> |
|
<img width="90%" src="figures/arena2.png" /> |
|
</p> |
|
|
|
Hard Prompts Arena Ranking: #3, demonstrating strong performance on challenging prompts. |
|
|
|
<p align="center"> |
|
<img width="90%" src="figures/arena3.png" /> |
|
</p> |
|
|
|
## 2. Improvement |
|
|
|
Compared to the previous version DeepSeek-V2-Chat, the new version has made the following improvements: |
|
|
|
| **Benchmark** | **DeepSeek-V2-Chat** | **DeepSeek-V2-Chat-0628** | **Improvement** | |
|
|:-----------:|:------------:|:---------------:|:-------------------------:| |
|
| **HumanEval** | 81.1 | 84.8 | +3.7 | |
|
| **MATH** | 53.9 | 71.0 | +17.1 | |
|
| **BBH** | 79.7 | 83.4 | +3.7 | |
|
| **IFEval** | 63.8 | 77.6 | +13.8 | |
|
| **Arena-Hard** | 41.6 | 68.3 | +26.7 | |
|
| **JSON Output (Internal)** | 78 | 85 | +7 | |
|
|
|
Furthermore, the instruction following capability in the "system" area has been optimized, significantly enhancing the user experience for immersive translation, RAG, and other tasks. |
|
|
|
## 3. How to run locally |
|
|
|
**To utilize DeepSeek-V2-Chat-0628 in BF16 format for inference, 80GB*8 GPUs are required.** |
|
### Inference with Huggingface's Transformers |
|
You can directly employ [Huggingface's Transformers](https://github.com/huggingface/transformers) for model inference. |
|
|
|
```python |
|
import torch |
|
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig |
|
|
|
model_name = "deepseek-ai/DeepSeek-V2-Chat-0628" |
|
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True) |
|
# `max_memory` should be set based on your devices |
|
max_memory = {i: "75GB" for i in range(8)} |
|
# `device_map` cannot be set to `auto` |
|
model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True, device_map="sequential", torch_dtype=torch.bfloat16, max_memory=max_memory, attn_implementation="eager") |
|
model.generation_config = GenerationConfig.from_pretrained(model_name) |
|
model.generation_config.pad_token_id = model.generation_config.eos_token_id |
|
|
|
messages = [ |
|
{"role": "user", "content": "Write a piece of quicksort code in C++"} |
|
] |
|
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) |
|
``` |
|
|
|
The complete chat template can be found within `tokenizer_config.json` located in the huggingface model repository. |
|
|
|
**Note: The chat template has been updated compared to the previous DeepSeek-V2-Chat version.** |
|
|
|
An example of chat template is as belows: |
|
|
|
```bash |
|
<｜begin▁of▁sentence｜><｜User｜>{user_message_1}<｜Assistant｜>{assistant_message_1}<｜end▁of▁sentence｜><｜User｜>{user_message_2}<｜Assistant｜> |
|
``` |
|
|
|
You can also add an optional system message: |
|
|
|
```bash |
|
<｜begin▁of▁sentence｜>{system_message} |
|
|
|
<｜User｜>{user_message_1}<｜Assistant｜>{assistant_message_1}<｜end▁of▁sentence｜><｜User｜>{user_message_2}<｜Assistant｜> |
|
``` |
|
|
|
### Inference with vLLM (recommended) |
|
To utilize [vLLM](https://github.com/vllm-project/vllm) for model inference, please merge this Pull Request into your vLLM codebase: https://github.com/vllm-project/vllm/pull/4650. |
|
|
|
```python |
|
from transformers import AutoTokenizer |
|
from vllm import LLM, SamplingParams |
|
|
|
max_model_len, tp_size = 8192, 8 |
|
model_name = "deepseek-ai/DeepSeek-V2-Chat-0628" |
|
tokenizer = AutoTokenizer.from_pretrained(model_name) |
|
llm = LLM(model=model_name, tensor_parallel_size=tp_size, max_model_len=max_model_len, trust_remote_code=True, enforce_eager=True) |
|
sampling_params = SamplingParams(temperature=0.3, max_tokens=256, stop_token_ids=[tokenizer.eos_token_id]) |
|
|
|
messages_list = [ |
|
[{"role": "user", "content": "Who are you?"}], |
|
[{"role": "user", "content": "Translate the following content into Chinese directly: DeepSeek-V2 adopts innovative architectures to guarantee economical training and efficient inference."}], |
|
[{"role": "user", "content": "Write a piece of quicksort code in C++."}], |
|
] |
|
|
|
prompt_token_ids = [tokenizer.apply_chat_template(messages, add_generation_prompt=True) for messages in messages_list] |
|
|
|
outputs = llm.generate(prompt_token_ids=prompt_token_ids, sampling_params=sampling_params) |
|
|
|
generated_text = [output.outputs[0].text for output in outputs] |
|
print(generated_text) |
|
``` |
|
|
|
## 4. License |
|
This code repository is licensed under [the MIT License](LICENSE-CODE). The use of DeepSeek-V2 Base/Chat models is subject to [the Model License](LICENSE-MODEL). DeepSeek-V2 series (including Base and Chat) supports commercial use. |
|
|
|
## 5. Citation |
|
``` |
|
@misc{deepseekv2, |
|
title={DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model}, |
|
author={DeepSeek-AI}, |
|
year={2024}, |
|
eprint={2405.04434}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CL} |
|
} |
|
``` |
|
|
|
## 6. Contact |
|
If you have any questions, please raise an issue or contact us at [service@deepseek.com](service@deepseek.com). |
|
|
