Instructions to use johannesack/Qwen2.5-0.5B_alpaca_gpt4_1_Nano_rm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johannesack/Qwen2.5-0.5B_alpaca_gpt4_1_Nano_rm with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("johannesack/Qwen2.5-0.5B_alpaca_gpt4_1_Nano_rm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +2 -2
config.json
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@@ -3,7 +3,7 @@
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"ScalarModel"
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],
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"base_config": {
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"_name_or_path": "/
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"use_sliding_window": false,
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"vocab_size": 151936
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},
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"base_model": "/
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"bias": 6.786596716345252,
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"hidden_size": 896,
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"torch_dtype": "float32",
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"ScalarModel"
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],
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"base_config": {
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"_name_or_path": "johannesack/Qwen2.5-0.5B_alpaca_sft",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"use_sliding_window": false,
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"vocab_size": 151936
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},
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"base_model": "johannesack/Qwen2.5-0.5B_alpaca_sft",
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"bias": 6.786596716345252,
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"hidden_size": 896,
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"torch_dtype": "float32",
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