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--- |
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language: |
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- en |
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base_model: Qwen/Qwen3-0.6B |
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library_name: transformers |
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pipeline_tag: text-generation |
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tags: |
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- text-generation |
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- lora |
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- axolotl |
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license: apache-2.0 |
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--- |
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# Delphermes-0.6B-R1-LORA |
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This is a merged LoRA model based on Qwen/Qwen3-0.6B, fine-tuned for language tasks. |
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## Model Details |
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- **Base Model**: Qwen/Qwen3-0.6B |
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- **Language**: English (en) |
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- **Type**: Merged LoRA model |
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- **Library**: transformers |
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## Usage |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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import torch |
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model_name = "justinj92/Delphermes-0.6B-R1-LORA" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModelForCausalLM.from_pretrained( |
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model_name, |
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torch_dtype=torch.float16, |
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device_map="auto" |
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) |
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# Example usage |
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text = "Hey" |
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inputs = tokenizer(text, return_tensors="pt") |
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outputs = model.generate(**inputs, max_length=100) |
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response = tokenizer.decode(outputs[0], skip_special_tokens=True) |
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print(response) |
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``` |
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## Training Details |
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This model was created by merging a LoRA adapter trained for language understanding and generation. |
