-
### System Info
@SunMarc
429 Client Error: Too Many Requests for url: [https://api-inference.huggingface.co/models](https://api-inference.huggingface.co/models/smart-panda314/dummy)
### Who …
-
Hi,
I am experiencing the follow issue, I tried the following versions:
https://www.kaggle.com/models/keras/gemma/frameworks/Keras/variations/gemma_2b_en/versions/1
https://www.kaggle.com/models…
-
Please include information about your system, the steps to reproduce the bug, and the version of llama.cpp that you are using. If possible, please provide a minimal code example that reproduces the bu…
-
### System Info
> peft version: 0.9.0
> accelerate version: 0.27.2
> transformers version: 4.37.0
> trl version: 0.7.12.dev0
> base model: openai-community/gpt2
> hardware: 2xA100
I'm doing a…
-
I was not able to run the example after I added the model.bin to my device.
I followed the details on the [fix](https://github.com/google/mediapipe/issues/5326) and added
in AndroidManifest.xml…
-
### System Info
- `transformers` version: 4.40.1
- Platform: Linux-5.14.0-362.24.1.el9_3.x86_64-x86_64-with-glibc2.34
- Python version: 3.10.13
- Huggingface_hub version: 0.21.4
- Safetensors v…
-
**Describe the bug**
I saved a checkpoint "writer_gemma_2b_it-S51.easy". Could you please guide me how can I continue training from this checkpoint?
In addition, should I add save_optimizer_state=Tr…
-
use the build gemma.cpp to run 2b, it's ok . but 7b seems abnoraml. something wrong?
./gemma --tokenizer tokenizer.spm --compressed_weights 7b-pt-sfp.sbs --model 7b-it
__ _ ___ _ __ ___ _…
cagev updated
4 months ago
-
### What happened?
After installing and logging into the Quivr on Amazon Linux with default userid/password, **not able to create the first brain**. Request your help as we are stuck with this iss…
-
## 🐛 Bug
## To Reproduce
Steps to reproduce the behavior:
1.download from apk from https://llm.mlc.ai/docs/ [Android tab ]
2.install apk
3.click download button, download base model L…