Mohan @itshmohan
building at https://t.co/ZXqNTWAxY2 github.com/ItshMoh Varanasi Joined September 2023-
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"You're absolutely right to push back here." I just hate this statement.
@Kappaemme1926 The most possible reason could be that you are continuing a very long chat in big repo. Try to break the chats. Transfer history of one session to other. May be you would not hit limits so easily.
@garrytan He really wants to lose the elections.
Here is the link to try it - huggingface.co/spaces/build-s… I have deployed it on the hugging face spaces. I was building this for the build-small-hackathon by @huggingface and @Gradio .
Done with the finetuning of the Qwen2.5-Coder-7B-Instruct. I finetuned it for generating excalidraw images. I generated around 1300 samples of excali DSL and then trained the model to produce DSL which is later to be converted into excali json by the converter.
Done with the finetuning of the Qwen2.5-Coder-7B-Instruct. I finetuned it for generating excalidraw images. I generated around 1300 samples of excali DSL and then trained the model to produce DSL which is later to be converted into excali json by the converter.
@haider1 The gemini models are I think best for the frontend . In google AI studio it will just one shot the most beautiful UI .
@DanielSmidstrup The prompts and the exact requirements with all the tradeoff measured .
@jwsaml another reason is that anthropic doesn't want to let chinese companies distill the fable and make it available to others at a fraction cost. It will not be as good as fable but enough to have a impact especially if there is not other major model releasing soon by anthropic
@vidit_odedra Deepseek will be moonshot for india. Somthing like qwen is not going to released in the near future by india
@catalinmpit For coding the local LLMs will not be enough, but for the everyday task they are good to go.
@techNmak And the result will be of very poor quality.
@amit25says The Offer letter is fake and looks like it is made for hyping on X
Deepseek v4-flash is too cheap for its quality. More than 6 M token and just 1$. It is just crazy good for most of the use cases and the price makes it more lit.
Generating dataset is a nightmare. It had stopped after genarating 560 samples. The new samples generated are all invalid according to my converter. This can't be hallucinations.
Here comes the data generation part. Using deepseek -v4- flash for generating approx 1300 samples. These samples are JSON DSL for the excalidraw. Then that DSL will be converted into excalidraw JSON by the converter that i have designed.
Trying to finetune qwen model to generate the excalidraw images better than claude. Currently generating dataset and writing the validators. I will probably finetune the 7b coder one as it is good in producing structured outputs.
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