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README.md
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---
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language:
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- ml
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- en
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base_model: Qwen/Qwen3-8B
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library_name: transformers
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- lora
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- merged
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license: apache-2.0
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---
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# Delphermes-8B-cpt-epoch2
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This is a merged LoRA model based on Qwen/Qwen3-8B, fine-tuned
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## Model Details
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- **Base Model**: Qwen/Qwen3-8B
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- **Language**:
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- **Type**: Merged LoRA model
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- **Library**: transformers
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## Usage
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# Example usage
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text = "
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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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## Training Details
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This model was created by merging a LoRA adapter trained for
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---
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language:
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- en
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base_model: Qwen/Qwen3-8B
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library_name: transformers
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- lora
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- merged
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license: apache-2.0
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datasets:
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- NousResearch/Hermes-3-Dataset
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- QuixiAI/dolphin
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---
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# Delphermes-8B-cpt-epoch2
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This is a merged LoRA model based on Qwen/Qwen3-8B, fine-tuned using Hermes3 & Dolphin synth data.
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## Model Details
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- **Base Model**: Qwen/Qwen3-8B
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- **Language**: English (en)
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- **Type**: Merged LoRA model
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- **Library**: transformers, axolotl
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## Usage
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)
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# Example usage
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text = "Who are you?"
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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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## Training Details
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This model was created by merging a LoRA adapter trained for understanding and generation.
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