diff --git a/model_cards/internlm2_20b.md b/model_cards/internlm2_20b.md index 625162a..693c26c 100644 --- a/model_cards/internlm2_20b.md +++ b/model_cards/internlm2_20b.md @@ -4,10 +4,10 @@ The second generation of the InternLM model, InternLM2, includes models at two scales: 7B and 20B. For the convenience of users and researchers, we have open-sourced four versions of each scale of the model, which are: -- internlm2-base: A high-quality and highly adaptable model base, serving as an excellent starting point for deep domain adaptation. -- internlm2 (**recommended**): Built upon the internlm2-base, this version has been enhanced in multiple capability directions. It shows outstanding performance in evaluations while maintaining robust general language abilities, making it our recommended choice for most applications. -- internlm2-sft: Based on the Base model, it undergoes supervised human alignment training. -- internlm2-chat (**recommended**): Optimized for conversational interaction on top of the internlm2-sft through RLHF, it excels in instruction adherence, empathetic chatting, and tool invocation. +- internlm2-base-20b: A high-quality and highly adaptable model base, serving as an excellent starting point for deep domain adaptation. +- internlm2-20b (**recommended**): Built upon the internlm2-base, this version has been enhanced in multiple capability directions. It shows outstanding performance in evaluations while maintaining robust general language abilities, making it our recommended choice for most applications. +- internlm2-chat-20b-sft: Based on the Base model, it undergoes supervised human alignment training. +- internlm2-chat-20b (**recommended**): Optimized for conversational interaction on top of the internlm2-sft through RLHF, it excels in instruction adherence, empathetic chatting, and tool invocation. The base model of InternLM2 has the following technical features: @@ -18,10 +18,10 @@ The base model of InternLM2 has the following technical features: | Model | Transformers(HF) | ModelScope(HF) | OpenXLab(HF) | Release Date | |---------------------------|------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------| -| **InternLM2 Chat 20B** | [🤗internlm/internlm2-chat-20b](https://huggingface.co/internlm/internlm2-chat-20b) | [ internlm2-chat-20b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-chat-20b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2-chat-20b) | 2024-01-17 | +| **InternLM2 Base 20B** | [🤗internlm/internlm2-base-20b](https://huggingface.co/internlm/internlm2-base-20b) | [ internlm2-base-20b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-base-20b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2-base-20b) | 2024-01-17 | | **InternLM2 20B** | [🤗internlm/internlm2-20b](https://huggingface.co/internlm/internlm2-20b) | [ internlm2-20b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-20b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2-20b) | 2024-01-17 | | **InternLM2 Chat 20B SFT** | [🤗internlm/internlm2-chat-20b-sft](https://huggingface.co/internlm/internlm2-chat-20b-sft) | [ internlm2-chat-20b-sft](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-chat-20b-sft/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2-chat-20b-sft) | 2024-01-17 | -| **InternLM2 Base 20B** | [🤗internlm/internlm2-base-20b](https://huggingface.co/internlm/internlm2-base-20b) | [ internlm2-base-20b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-base-20b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2-base-20b) | 2024-01-17 | +| **InternLM2 Chat 20B** | [🤗internlm/internlm2-chat-20b](https://huggingface.co/internlm/internlm2-chat-20b) | [ internlm2-chat-20b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-chat-20b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2-chat-20b) | 2024-01-17 | ## Performance Evaluation diff --git a/model_cards/internlm2_7b.md b/model_cards/internlm2_7b.md index 592764c..89da02f 100644 --- a/model_cards/internlm2_7b.md +++ b/model_cards/internlm2_7b.md @@ -4,10 +4,10 @@ The second generation of the InternLM model, InternLM2, includes models at two scales: 7B and 20B. For the convenience of users and researchers, we have open-sourced four versions of each scale of the model, which are: -- internlm2-base: A high-quality and highly adaptable model base, serving as an excellent starting point for deep domain adaptation. -- internlm2 (**recommended**): Built upon the internlm2-base, this version has been enhanced in multiple capability directions. It shows outstanding performance in evaluations while maintaining robust general language abilities, making it our recommended choice for most applications. -- internlm2-sft: Based on the Base model, it undergoes supervised human alignment training. -- internlm2-chat (**recommended**): Optimized for conversational interaction on top of the internlm2-sft through RLHF, it excels in instruction adherence, empathetic chatting, and tool invocation. +- internlm2-base-7b: A high-quality and highly adaptable model base, serving as an excellent starting point for deep domain adaptation. +- internlm2-7b (**recommended**): Built upon the internlm2-base, this version has been enhanced in multiple capability directions. It shows outstanding performance in evaluations while maintaining robust general language abilities, making it our recommended choice for most applications. +- internlm2-chat-7b-sft: Based on the Base model, it undergoes supervised human alignment training. +- internlm2-chat-7b (**recommended**): Optimized for conversational interaction on top of the internlm2-sft through RLHF, it excels in instruction adherence, empathetic chatting, and tool invocation. The base model of InternLM2 has the following technical features: @@ -18,10 +18,10 @@ The base model of InternLM2 has the following technical features: | Model | Transformers(HF) | ModelScope(HF) | OpenXLab(HF) | Release Date | |---------------------------|------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------| -| **InternLM2 Chat 7B** | [🤗internlm/internlm2-chat-7b](https://huggingface.co/internlm/internlm2-chat-7b) | [ internlm2-chat-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-chat-7b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2-chat-7b) | 2024-01-17 | +| **InternLM2 Base 7B** | [🤗internlm/internlm2-base-7b](https://huggingface.co/internlm/internlm2-base-7b) | [ internlm2-base-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-base-7b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2-base-7b) | 2024-01-17 | | **InternLM2 7B** | [🤗internlm/internlm2-7b](https://huggingface.co/internlm/internlm2-7b) | [ internlm2-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-7b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2-7b) | 2024-01-17 | | **InternLM2 Chat 7B SFT** | [🤗internlm/internlm2-chat-7b-sft](https://huggingface.co/internlm/internlm2-chat-7b-sft) | [ internlm2-chat-7b-sft](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-chat-7b-sft/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2-chat-7b-sft) | 2024-01-17 | -| **InternLM2 Base 7B** | [🤗internlm/internlm2-base-7b](https://huggingface.co/internlm/internlm2-base-7b) | [ internlm2-base-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-base-7b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2-base-7b) | 2024-01-17 | +| **InternLM2 Chat 7B** | [🤗internlm/internlm2-chat-7b](https://huggingface.co/internlm/internlm2-chat-7b) | [ internlm2-chat-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2-chat-7b/summary) | [![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2-chat-7b) | 2024-01-17 | ## Performance Evaluation