{
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    "metadata": {
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            "bom-ref": "internlm/internlm2_5-7b-chat-32b070af-4c58-586a-a31a-ee5c97440384",
            "name": "internlm/internlm2_5-7b-chat",
            "externalReferences": [
                {
                    "url": "https://huggingface.co/internlm/internlm2_5-7b-chat",
                    "type": "documentation"
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            "modelCard": {
                "modelParameters": {
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            "authors": [
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            "description": "InternLM2.5 has open-sourced a 7 billion parameter base model and a chat model tailored for practical scenarios. The model has the following characteristics:- **Outstanding reasoning capability**: State-of-the-art performance on Math reasoning, surpassing models like Llama3 and Gemma2-9B.- **1M Context window**: Nearly perfect at finding needles in the haystack with 1M-long context, with leading performance on long-context tasks like LongBench. Try it with [LMDeploy](https://github.com/InternLM/InternLM/blob/main/chat/lmdeploy.md) for 1M-context inference.- **Stronger tool use**: InternLM2.5 supports gathering information from more than 100 web pages, corresponding implementation has be released in [MindSearch](https://github.com/InternLM/MindSearch). InternLM2.5 has better tool utilization-related capabilities in instruction following, tool selection and reflection. See [examples](https://github.com/InternLM/InternLM/blob/main/agent/lagent.md).",
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}