IntelliNode

Results 22 comments of IntelliNode

Feedback: - There are no test cases to validate the output generate valid output. add test cases to generate test and validate the string readable. - When I switch the...

When I print the output, it does not print string but the tokens! output tokenize: tensor([[[-0.4666, 0.2092, -0.5391, ..., 0.5234, -0.0457, 0.3164], [-0.6572, 0.4009, -0.6992, ..., 0.4370, -0.1760, 0.3025], [-0.4568,...

There is conflicts and the outputs not working as expected.

The issue is that there was no testing conducted during this contribution, and there seemed to be limited understanding of DeepSeek’s capabilities and how tokenizers work! The process of testing...

Good question @oliverqx. Let me explain the rationale behind using an offline model and why I'm avoiding Ollama or similar high-level modules. Intelli can build a graph of collaborating agents...

You can use the official ones from **R1 or any quantized variant**: **DeepSeek-R1 Models** | **Model** | **#Total Params** | **#Activated Params** | **Context Length** | **Download** | | :------------:...

If it requires installing Transformers to use it, then no. If it is published as an independent module with a lightweight installation via pip, then yes. You can implement a...

@oliverqx It is good that you mentioned this. With your collaboration, I can assist you with relevant chunks of the code that require stitching, and testing. Send me your email...

This task reward is time-sensitive, due to not having a complete solution until this time I have to adjust the reward.