Cordeiro

Really. I'am receiving this error using multiples commands array: ``` TypeError: command.test is not a function at TelegramRoute.test (/node_modules/telegram-node-bot/lib/routing/TelegramRoute.js:33:25) ``` Probably because of this implementation https://github.com/Naltox/telegram-node-bot/commit/865d9c435777889149567da8b6369e0e58a363e8#diff-5d0478b9911fd18a6c78d0b1bcd7b310R26 in 4.0 Version

Thanks. but the README describes this structure and does not works ``` .when(['/sum :num1 :num2'], new SumController()) ``` https://github.com/Naltox/telegram-node-bot#scope-extensions

@enzyme69 where are updated instructions? I'm getting same issue on M1 Air 8GB

Hi @ggerganov this whisper/4-bit doesn't works with quantized models from ggml/master. The old conversion ggml/gq (deleted) works.

You can use examples/gpt-2/convert-h5-to-ggml.py to convert these models: PR #35

How to run with GPT-J-6B model? I'm getting the following error: `gptj_model_load: tensor 'transformer.h.0.mlp.fc_in.weight' has wrong shape in model file: got [4096, 16384], expected [16384, 4096]` Steps to reproduce: ```...

Great. Thank you very much for the explanation. I will do this

it worked and it's impressive. here are the results on my M1 Air 8GB: ``` main: mem per token = 15976132 bytes main: load time = 2016.22 ms main: sample...

@tmzt it's here until @ggerganov doesn't launch official version: https://huggingface.co/ocordeiro/ggml-gpt-j-6b-q4_0

From what I saw the model uses names the variables differently from the original model: ``` variable: wte.weight shape: (50257, 768) variable: wpe.weight shape: (1024, 768) variable: h.0.ln_1.weight shape: (768,)...