https://github.com/modelscope/swift/blob/main/docs/source/LLM/%E6%94%AF%E6%8C%81%E7%9A%84...
ModelScope支持的列表有哪些llama3的模型? 51 1 0 ModelScope是不是llama3提问的字符数不能超过20个? 47 0 0 请问下,ModelScope有没有批量处理的推理的? 21 1 0 modelscope的本地推理为什么会出现图中问题? 31 1 0 modelscope的自然语言推理或通用信息提取能做到下文理解吗? 27 1 0 modelsco...
model_name: llama # 模型路径 model_dir: /model/llama-hf/13B/ # lora模型配置,可以有多个 2 changes: 0 additions & 2 deletions 2 examples/ksana_llm_ascend_llama13b.yaml Original file line numberDiff line numberDiff line change @@ -59,8 +59,6 @@ setting: model_spec: # 基础模型配置,...
| MiniGeminiLlama | 7B | Yes | No | No | Yes | | GLM4 | 9B | Yes | Yes | Yes | No | | CodeGeeX4 | 9B | Yes | Yes | Yes | No | | Model | Size | Type | FP16/BF16 | KV INT8 | KV INT4 | W4A16 | | :---: | :---: | :--: | :---: | :---: |...
code_llama, codegen, cohere, conditional_detr, convbert, convnext, convnextv2, cpmant, ctrl, cvt, dac, data2vec-audio, data2vec-text, data2vec-vision, dbrx, deberta, deberta-v2, decision_transformer, deformable_detr, deit, depth_anything, deta, detr, dinat, dinov2, distilbert, donut...
ModelScope中,llama3 推理的时候 ModelType 是什么值? 问答2024-03-18来自:开发者社区 modelscope中,如何查看完整的ModelType名单? "modelscope中,如何查看完整的ModelType名单? " 共有2条 <1> 跳转至:GO 更新时间 2024-08-14 09:11:26 本页面内关键词为智能算法引擎基于机器学习所生成,如有任何问题,可在...
analysis Stratoshark analyzes cloud applications at a syscall level Jan 23, 20258 mins analysis Build API clients with Microsoft Kiota Jan 16, 20258 mins analysis Working with minimal APIs in .NET Jan 09, 20257 mins analysis Fine-tuning Azure OpenAI models in Azure AI Foundry ...
That should allow you to use it with Hugging Face transformers and Meta’s Llama 2. Because TypeChat is an open-source project, with an MIT license, you have full access to the code on GitHub, and you can deliver any modifications you make as pull requests. Related content News ...
br_infer_llama_boost feature-2.5-tools br_compiler br_base_compiler_sig br_infer_fa_softmax_out feature-2.4-tools br_base_psjit data_load_optimize r2.2 br_jzhz_2.4 r2.0 r2.1 boss_llama3_validation br-ai4s feature_amp_auto br_high_availability_231_test moveto_in_graph br_infer_feature...
llama.cpp已支持国内元象大模型 | llama.cpp现已支持在MacOS/Linux/Windows系统上推理XVERSE系列模型(7B,13B,65B)。 XVERSE是由深圳元象科技自主研发的支持多语言的大语言模型(Large Language Model),XVERSE-65B模型支持16K 的上下文长度. huggingface地址:链接 ...