Instructions to use lt2c/metamath-qwen3.5-0.6b-rl-gamma0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lt2c/metamath-qwen3.5-0.6b-rl-gamma0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lt2c/metamath-qwen3.5-0.6b-rl-gamma0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-26333/trainer_state.json from lt2c/metamath-qwen3.5-0.6b-rl-gamma0: direct link, hf CLI and curl.
- Browser
- Download file 1.5 MB
-
https://huggingface.co/lt2c/metamath-qwen3.5-0.6b-rl-gamma0/resolve/main/checkpoint-26333/trainer_state.json
- Command line
-
hf download hf://lt2c/metamath-qwen3.5-0.6b-rl-gamma0/checkpoint-26333/trainer_state.json
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curl -L -o trainer_state.json https://huggingface.co/lt2c/metamath-qwen3.5-0.6b-rl-gamma0/resolve/main/checkpoint-26333/trainer_state.json
1.5 MB
File too large to display, you can check the raw version instead.