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RichardErkhov/
opencsg_-_csg-wukong-1B-sft-bf16-gguf

Name: opencsg_-_csg-wukong-1B-sft-bf16-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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csg-wukong-1B-sft-bf16 - GGUF

Model creator: https://huggingface.co/opencsg/
Original model: https://huggingface.co/opencsg/csg-wukong-1B-sft-bf16/

Name	Quant method	Size
csg-wukong-1B-sft-bf16.Q2_K.gguf	Q2_K	0.4GB
csg-wukong-1B-sft-bf16.IQ3_XS.gguf	IQ3_XS	0.44GB
csg-wukong-1B-sft-bf16.IQ3_S.gguf	IQ3_S	0.47GB
csg-wukong-1B-sft-bf16.Q3_K_S.gguf	Q3_K_S	0.47GB
csg-wukong-1B-sft-bf16.IQ3_M.gguf	IQ3_M	0.48GB
csg-wukong-1B-sft-bf16.Q3_K.gguf	Q3_K	0.51GB
csg-wukong-1B-sft-bf16.Q3_K_M.gguf	Q3_K_M	0.51GB
csg-wukong-1B-sft-bf16.Q3_K_L.gguf	Q3_K_L	0.55GB
csg-wukong-1B-sft-bf16.IQ4_XS.gguf	IQ4_XS	0.57GB
csg-wukong-1B-sft-bf16.Q4_0.gguf	Q4_0	0.59GB
csg-wukong-1B-sft-bf16.IQ4_NL.gguf	IQ4_NL	0.6GB
csg-wukong-1B-sft-bf16.Q4_K_S.gguf	Q4_K_S	0.6GB
csg-wukong-1B-sft-bf16.Q4_K.gguf	Q4_K	0.62GB
csg-wukong-1B-sft-bf16.Q4_K_M.gguf	Q4_K_M	0.62GB
csg-wukong-1B-sft-bf16.Q4_1.gguf	Q4_1	0.65GB
csg-wukong-1B-sft-bf16.Q5_0.gguf	Q5_0	0.71GB
csg-wukong-1B-sft-bf16.Q5_K_S.gguf	Q5_K_S	0.71GB
csg-wukong-1B-sft-bf16.Q5_K.gguf	Q5_K	0.73GB
csg-wukong-1B-sft-bf16.Q5_K_M.gguf	Q5_K_M	0.73GB
csg-wukong-1B-sft-bf16.Q5_1.gguf	Q5_1	0.77GB
csg-wukong-1B-sft-bf16.Q6_K.gguf	Q6_K	0.84GB
csg-wukong-1B-sft-bf16.Q8_0.gguf	Q8_0	1.09GB

Original model description:

language:

en pipeline_tag: text-generation tags:
code license: apache-2.0

csg-wukong-1B-sft-bf16 [中文] [English]

OpenCSG

[OpenCSG Community] [github] [wechat] [Twitter]

OpenCSG stands for Converged resources, Software refinement, and Generative LM. The 'C' represents Converged resources, indicating the integration and full utilization of hybrid resources. The 'S' stands for Software refinement, signifying software that is refined by large models. The 'G' represents Generative LM, which denotes widespread, inclusive, and democratized generative large models.

The vision of OpenCSG is to empower every industry, every company, and every individual to own their models. We adhere to the principles of openness and open source, making the large model software stack of OpenCSG available to the community. We welcome everyone to use, send feedback, and contribute collaboratively.

Model Description

csg-wukong-1B-sft-bf16 was finetuned on csg-wukong-1B.
we will introduce more information about csg-wukong-1B.

Model Evaluation results

We submitted csg-wukong-1B on the open_llm_leaderboard, and the results show our model ranked the 8th among the ~1.5B pretrained small language models.

Training

Hardware

GPUs: 16 H800
Training time: 43days

Software

Orchestration: Deepspeed
Neural networks: PyTorch
BP16 if applicable: apex

OpenCSG介绍

[OpenCSG 社区] [github] [微信] [推特]

OpenCSG中 Open是开源开放；C 代表 Converged resources，整合和充分利用的混合异构资源优势，算力降本增效；S 代表 Software refined，重新定义软件的交付方式，通过大模型驱动软件开发，人力降本增效；G 代表 Generative LM，大众化、普惠化和民主化的可商用的开源生成式大模型。

OpenCSG的愿景是让每个行业、每个公司、每个人都拥有自己的模型。我们坚持开源开放的原则，将OpenCSG的大模型软件栈开源到社区，欢迎使用、反馈和参与共建，欢迎关注。

模型介绍

csg-wukong-1B-sft-bf16 在csg-wukong-1B预训练模型上微调而成.

我们将在后面介绍更多关于这个模型的信息。

模型评测结果

我们把csg-wukong-1B模型提交到open_llm_leaderboard榜单上，结果显示我们的模型目前在~1.5B小语言模型中排名第8。

RichardErkhov/
opencsg_-_csg-wukong-1B-sft-bf16-gguf

Original model description:

csg-wukong-1B-sft-bf16 [中文] [English]

Model Description

Model Evaluation results

Training

Hardware

Software

OpenCSG介绍

模型介绍

模型评测结果

训练

硬件资源

软件使用

RichardErkhov/opencsg_-_csg-wukong-1B-sft-bf16-gguf

Original model description:

csg-wukong-1B-sft-bf16 [中文] [English]

Model Description

Model Evaluation results

Training

Hardware

Software

OpenCSG介绍

模型介绍

模型评测结果

训练

硬件资源

软件使用

RichardErkhov/
opencsg_-_csg-wukong-1B-sft-bf16-gguf