Comments (1)
Thank you for your attention! Unfortunately, we are currently busy preparing our paper and have no plan to support the Triton backend. We welcome PRs from the community to make the model more accessible since GLM-130B is an open source language model.
from glm-130b.
Related Issues (20)
- 关于docs/quantization.md中图片疑问
- 训练目标
- 关于FT inference benchmark数据的疑问
- 每个token耗时呈脉冲式变化
- GLM-130B文档中描述model weights,GPU内存需要260G,测试demo中实际测试总占用在240G左右,请问是什么原因
- 模型并行集群怎么搭建
- 请问GLM可以在输出内容时,同时输出引用内容的来源吗?
- 模型申请页面无法提交申请 HOT 1
- 基于130B有chat版本开源的计划吗?
- 申请邮件收到的模型下载链接都失效了 HOT 5
- FasterTransformer能否支持Glm6B呢
- glm2-130B will it be made? HOT 1
- 请问,课程链接在哪里? HOT 1
- RuntimeError: probability tensor contains either `inf`, `nan` or element < 0answers, answers_with_style, blanks = fill_blanks(raw_text, model, tokenizer, strategy)
- 8卡 fastertransformer 推理报错RuntimeError: [FT][ERROR] Assertion fail: /home/young.ruan/FasterTransformer/src/fastertransformer/th_op/glm/GlmOp.h:539
- 执行bash scripts/generate.sh --input-source interactive时出现的错误。大佬救救! HOT 1
- Clarification Request on GLM-130B Model Architecture and Licensing for Commercial Use
- 有用tensortRT-llm的docker环境跑通模型的吗?求助...
- 请各位大佬伸以援手,我想要在自己本地部署一个该模型,怎么在windows上进行部署?
- 下载到一半就再也下不了了
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