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On the Shifting Global Compute Landscape
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Missing list APIs for models, datasets and spaces
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#5 opened 2 months ago
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We just released TRL v0.26.0!
It comes packed with updates:
> Agent training with tools in GRPO
> New CISPO & SAPO losses + reasoning rewards
> vLLM quantization in colocate mode
> Dataset shuffling in SFT
> Lots of NEW examples
> Tons of fixes and documentation improvements
It comes packed with updates:
> Agent training with tools in GRPO
> New CISPO & SAPO losses + reasoning rewards
> vLLM quantization in colocate mode
> Dataset shuffling in SFT
> Lots of NEW examples
> Tons of fixes and documentation improvements
- 3 replies
reacted to melvindave's post with π 3 months ago
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Currently having a blast learning the transformers library.
I noticed that model cards usually have Transformers code as usage examples.
So I tried to figure out how to load a model just using the transformers library without using ollama, lmstudio, or llamacpp.
Learned how to install dependencies required to make it work like pytorch and CUDA. I also used Conda for python environment dependencies.
Once I got the model loaded and sample inference working, I made an API to serve it.
I know it's very basic stuff for machine learning experts here in HF but I'm completely new to this so I'm happy to get it working!
Model used: Qwen/Qwen3-VL-8B-Instruct
GPU: NVIDIA GeForce RTX 3090
Here's the result of my experimentation
I noticed that model cards usually have Transformers code as usage examples.
So I tried to figure out how to load a model just using the transformers library without using ollama, lmstudio, or llamacpp.
Learned how to install dependencies required to make it work like pytorch and CUDA. I also used Conda for python environment dependencies.
Once I got the model loaded and sample inference working, I made an API to serve it.
I know it's very basic stuff for machine learning experts here in HF but I'm completely new to this so I'm happy to get it working!
Model used: Qwen/Qwen3-VL-8B-Instruct
GPU: NVIDIA GeForce RTX 3090
Here's the result of my experimentation
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- 6 replies
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