In this Video, I'll be telling you about the newly released InternLM-2.5 7b Model. This new model comes with a 1M Token Context Limit which is really amazing. This new Model claims to beat Qwen-2, Llama-3, Claude, DeepSeek and other Opensource LLMs. I'll be testing it out in this video. Watch the video to find more about this new model. It also beats Qwen-2, DeepSeek Coder, Codestral in all kinds of coding tasks.
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Key Takeaways:
🌟 InternLM 2.5 Launch: Just launched, InternLM 2.5 is the latest AI model, outperforming Llama 3 and Gemma 2 9B in practical scenarios.
🚀 7 Billion Parameters: With 7 billion parameters, InternLM 2.5 offers outstanding reasoning capabilities and a long context window, perfect for complex AI tasks.
🏆 Benchmark Dominance: InternLM 2.5 excels in MMLU, CMMLU, BBH, and MATH benchmarks, showcasing superior performance against larger models.
🔧 Tool Usage: InternLM 2.5 excels at tool usage, making it ideal for applications that involve web search and other integrated tools.
📊 Real-World Performance: Despite benchmark success, real-world performance is where InternLM 2.5 shines, particularly in coding tasks with its 1M-long context window.
💻 Available on Major Platforms: Now accessible on Ollama, HuggingFace, and more, making it easy to test and integrate InternLM 2.5 into your projects.
🤖 Hands-On Testing: Watch as we put InternLM 2.5 through various language and coding tasks, highlighting its strengths and weaknesses.
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Timestamps:
00:00 - Introduction
00:07 - About InternLM-2.5 (7b with 1Million Context)
01:16 - Benchmarks
03:03 - Testing
07:53 - Conclusion
