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I found with original training workflow, the loss is not decling, I am not sure this is because I am using a subset of the training set.
```
# File modified by authors of InstructDiffusion from …
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Hi, I'm currently trying to run DeepSeek Coder v2 on a single node with the following setup:
Node 1: Two A6000 GPUs (48GB each) and 192GB of RAM
Node 2: Two 4090 GPUs (24GB each) and 64GB …
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> GitHub Models is designed to allow for learning, experimentation and proof-of-concept activities. The feature is subject to various limits (including requests per minute, requests per day, tokens pe…
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**Regression Models with Ordered Categorical Outcomes**:
**https://www.pymc.io/projects/examples/en/latest/generalized_linear_models/GLM-ordinal-regression.html**:
## Issue description
After `mak…
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Great work!
Any chance you add support for 3-bit ? I know the bitpacking is a bit tricky with 3-bit, but it would be great to a have a 3-bit kernel for linear quantization, since the only one availa…
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I am facing a `RuntimeError` related to dtype mismatches during the forward pass of training code.
`down, reference_features = unet_encoder(cloth_values, timesteps, text_embeds_cloth,return_dict=Fal…
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Running `eurosat_finetune`, from the error:
```
model = models_vit_tensor.__dict__[args.model](drop_path_rate=args.drop_path,
KeyError: 'mae_vit_base_patch8_128'
```
Adding `print(list(models…
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### System Info
- **Hardware**: AWS g6.12xlarge (us-east-2) / 4x NVIDIA L4 GPU
- **OS**: Ubuntu 24.04 LTS (Noble Numbat)
- **NVIDIA Driver**: nvidia-open 560.28.03
- **CUDA**: 12.6
- **Docker**: …
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Thanks for presenting! In section III (From a Theoretical to an Econometric Model) of your paper “Linear Social Interactions Models”, you propose an identification assumption K.1 that requires the ana…
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### Describe the workflow you want to enable
I'd like to have a feature importance method native to linear models (without L1 penalty) that is calculated on the training set:
```python
clf = Logi…