tianjin

ssbuild

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chatglm_finetuning. chatglm 6b finetuning and alpaca finetuning

1.5k

deep_training. deep learning

150

qwen_finetuning. qwen models finetuning

106

llm_finetuning. Large language Model fintuning bloom , opt , gpt, gpt2 ,llama,llama-2,cpmant and so on

99

moss_finetuning. moss chat finetuning

51

rwkv_finetuning. rwkv finetuning

37

aigc_data. share data， prompt data , pretraining data

36

baichuan_finetuning. baichuan and baichuan2 finetuning and alpaca finetuning

33

pytorch-task-example. deep training task

30

chatglm_rlhf. chatglm_rlhf_finetuning

30

llm_rlhf. realize the reinforcement learning training for gpt2 llama bloom and so on llm model

27

aigc_serving. aigc_serving lightweight and efficient Language service model reasoning

24

t5_finetuning. clue chatyuan finetuning

17

docker-gpu. 常用的NVIDIA docker

16

aigc_evals. aigc evals

10

Awesome-Chinese-LLM.

9

poetry_training. 诗歌模型预训练

8

internlm_finetuning. internlm funetuning

5

llm_dpo. dpo finetuning

5

nn-serving. 轻量级多进程服务

4

visualglm_finetuning. Python

3

bert_pretty. bert text encode or decode

3

cail2022-info-extract. 法研杯2022 信息抽取赛道第一阶段数据

3

awesome-pretrained-chinese-nlp-models.

2

cs-408. 2023年计算机考研专业课程408相关的复习经验，资源和OneNote笔记

2

paper-reading. 深度学习经典、新论文逐段精读

2

fastdatasets. Python

1

xverse_finetuning. xverse_finetuning

1

Multi-Label-Text-Classification. Python

1

fastlabel. Python

1

ChineseNLPCorpus. 中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。

1

t5_rlhf. chatyuan_rlhf_training

1

Keep-Learning. The record of what I‘ve been through.

1

llm_rrhf. Python

1

bluelm_finetuning. bluelm finetuning

1

data_serialize. Python

1

chatgpt_system_prompt. store all agent's system prompt

1

chinese-poetry. Python

1

ipc_worker. Python

1

numpy_io. numpy 序列化反序列化 datasets

1
40
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