V2-Lite-Instruct) | | DeepSeek-Coder-V2-Base | 236B | 21B | 128k | [? HuggingFace](https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Base) | | DeepSeek-Coder-V2-Instruct | 236B | 21B | 128k | [? HuggingFace](https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Instruct) ...
#DeepSeek-Coder-V2-Lite-Instruct WebDemo 部署 2+ 3+ ##环境准备 4+ 5+ 在[AutoDL](https://www.autodl.com/)平台中租一个 2*3090 等 48G 显存的显卡机器,如下图所示镜像选择`PyTorch`-->`2.1.0`-->`3.10(ubuntu22.04)`-->`12.1`。
-[ ]DeepSeek-Coder-V2-Lite-Instruct langchain 接入 -[ ]DeepSeek-Coder-V2-Lite-Instruct WebDemo 部署 -[ ]DeepSeek-Coder-V2-Lite-Instruct vLLM 部署调用 -[ ]DeepSeek-Coder-V2-Lite-Instruct Lora 微调 -[哔哩哔哩 Index-1.9B](https://github.com/bilibili/Index-1.9B) ...
model_type: str = "deepseek_v2" vocab_size: int = 102400 hidden_size: int = 4096 intermediate_size: int = 11008 moe_intermediate_size: int = 1407 num_hidden_layers: int = 30 num_attention_heads: int = 32 num_key_value_heads: int = 32 n_shared_experts: Optional[int] = None n...
Mirror of https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct 主页 取消 保存更改 1 https://gitee.com/mingkee168/DeepSeek-Coder-V2-Lite-Instruct.git git@gitee.com:mingkee168/DeepSeek-Coder-V2-Lite-Instruct.git mingkee168 DeepSeek-Coder-V2-Lite-Instruct DeepSeek-Coder-V2-Lite...
为便捷构建 `LLM` 应用,我们需要基于本地部署的 `DeepSeek_Coder_LLM`,自定义一个 LLM 类,将 `DeepSeek-Coder-V2-Lite-Instruct` 接入到 `LangChain` 框架中。完成自定义 `LLM` 类之后,可以以完全一致的方式调用 `LangChain` 的接口,而无需考虑底层模型调用的不一致。71...
1 1 # DeepSeek-Coder-V2-Lite-Instruct Lora 微调 2 2 3 - 本节我们简要介绍如何基于 transformers、peft 等框架,对 Qwen2-7B-Instruct 模型进行 Lora 微调。Lora 是一种高效微调方法,深入了解其原理可参见博客:[知乎|深入浅出Lora](https://zhuanlan.zhihu.com/p/650197598)。 3 + 本节我们简要介绍...
@awniI think this is ready for review and I tested ondeepseek-ai/DeepSeek-Coder-V2-Lite-Instructand it seem work as expected. Note: The yarn rope may be suboptimal, but I'm not very experienced with it so I pretty much copied exactly the PyTorch implementation. ...
from transformers import AutoTokenizer, AutoModelForCausalLM import torch tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct", trust_remote_code=...
#DeepSeek-Coder-V2-Lite-Instruct Lora 微调 22 3- 本节我们简要介绍如何基于 transformers、peft 等框架,对Qwen2-7B-Instruct 模型进行 Lora 微调。Lora 是一种高效微调方法,深入了解其原理可参见博客:[知乎|深入浅出Lora](https://zhuanlan.zhihu.com/p/650197598)。