具体来说,DeepSeek-Coder-Instruct 6.7B和33B在这个基准测试中分别实现了19.4%和27.8%的Pass@1得分。这个性能明显优于现有的开源模型,如Code-Llama-33B。DeepSeek-Coder-Instruct 33B是唯一一个在这个任务中超越OpenAI的GPT-3.5-Turbo的开源模型。然而,与更高级的GPT-4-Turbo相比,仍
AIMO使用最多的模型排名前三均为Qwen “开放权重、价格低、基础能力突出,这样的推理模型谁不喜欢呢”。 Qwen2.5-Coder:开源界的“代码扛把子”? Qwen2.5 系列的发布,尤其是 Qwen2.5-Coder 的亮相,在AI圈内引发了一波讨论。尽管模型体积相对较小,但Qwen 2.5 Coder32B在HumanEval 等编程基准测试中仍能与前沿模型...
Use FastChat to start the deepseek-coder-33b-instruct model, send a stream request and got an error response. If set stream=False, you can print a good response If change to other models, it also works with stream Start cmd: python3 -m f...
[INFO|modeling_utils.py:3783] 2023-12-12 09:03:50,971 >> All the weights of LlamaForCausalLM were initialized from the model checkpoint at /media/models/models/deepseek-ai/deepseek-coder-33b-instruct. If your task is similar to the task the model of the checkpoint was trained on, you...
下载 模型下载 推荐从魔搭社区deepseek-coder-1.3b-instruct下载 社区提供了两种下载方式,我第一次使用的是git clone的方式,发现文件下载不完全 推荐使用下面这种下载方式 #模型下载 from modelscope import snapshot_download model_dir = snapshot_download('deepseek-ai/deepseek-coder-1.3b-instruct') ...
Coder-V2-Lite-Base | 16B | 2.4B | 128k | [? HuggingFace](https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Lite-Base) | | DeepSeek-Coder-V2-Lite-Instruct | 16B | 2.4B | 128k | [? HuggingFace](https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct) | | Deep...
We release the DeepSeek-Coder-V2 with 16B and 236B parameters based on theDeepSeekMoEframework, which has actived parameters of only 2.4B and 21B , including base and instruct models, to the public. Model#Total Params#Active ParamsContext LengthDownload ...
forked fromHugging Face 模型镜像/DeepSeek-Coder-V2-Lite-Instruct 确定同步? 同步操作将从Hugging Face 模型镜像/DeepSeek-Coder-V2-Lite-Instruct强制同步,此操作会覆盖自 Fork 仓库以来所做的任何修改,且无法恢复!!! 确定后同步将在后台操作,完成时将刷新页面,请耐心等待。
DeepSeek-Coder-V2-Instruct-FP8 ？huggingface上已经有仓库：neuralmagic/DeepSeek-Coder-V2-Instruct-...
deepseek-coder-7b-instruct-v1.5 是由 MagicAI 推出的开源人工智能模型,OpenCSG提供高速免费下载服务,支持模型推理、训练、部署全流程管理,助力AI开发者高效工作。