End of training
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- config.json +1 -1
README.md
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---
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base_model: meta-llama/Llama-3.1-8B-Instruct
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library_name: transformers
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model_name: Llama3.1-8B-WebArena-Lite-SFT-CoT-QwQ-32B-epoch-3
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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# Model Card for Llama3.1-8B-WebArena-Lite-SFT-CoT-QwQ-32B-epoch-3
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This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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---
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base_model: meta-llama/Llama-3.1-8B-Instruct
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datasets: weizhepei/webarena-lite-SFT-CoT-QwQ-32B
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library_name: transformers
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model_name: Llama3.1-8B-WebArena-Lite-SFT-CoT-QwQ-32B-epoch-3
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tags:
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- generated_from_trainer
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- open-r1
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- trl
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- sft
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licence: license
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# Model Card for Llama3.1-8B-WebArena-Lite-SFT-CoT-QwQ-32B-epoch-3
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This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the [weizhepei/webarena-lite-SFT-CoT-QwQ-32B](https://huggingface.co/datasets/weizhepei/webarena-lite-SFT-CoT-QwQ-32B) dataset.
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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config.json
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.49.0",
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"use_cache":
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"vocab_size": 128256
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}
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.49.0",
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"use_cache": true,
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"vocab_size": 128256
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}
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