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Spark-270M-LoRA

Text Generation
Transformers
Safetensors
English
gemma-3
synthetic-data
textbooks
distillation
utility
summarization
lightning
conversational
Model card Files
xet
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Update README.md

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@@ -77,11 +77,15 @@ input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
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  outputs = model.generate(**input_ids, max_new_tokens=128)
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  print(tokenizer.d ecode(outputs[0]))
 
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  Quants:
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  Q4_K_M: https://huggingface.co/TitleOS/Spark-270M-FP16-Q4_K_M-GGUF
 
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  Q8: https://huggingface.co/TitleOS/Spark-270M-FP16-Q8_0-GGUF
 
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  FP16: https://huggingface.co/TitleOS/Spark-270M-FP16
 
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  Adaptor: https://huggingface.co/TitleOS/Spark-270M-LoRA
 
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  outputs = model.generate(**input_ids, max_new_tokens=128)
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  print(tokenizer.d ecode(outputs[0]))
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+ ```
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  Quants:
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  Q4_K_M: https://huggingface.co/TitleOS/Spark-270M-FP16-Q4_K_M-GGUF
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  Q8: https://huggingface.co/TitleOS/Spark-270M-FP16-Q8_0-GGUF
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  FP16: https://huggingface.co/TitleOS/Spark-270M-FP16
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  Adaptor: https://huggingface.co/TitleOS/Spark-270M-LoRA