Text Generation
PEFT
Safetensors
English
lora
gpt-oss
space
question-answering
multi-turn
dialogue
synthetic-data
conversational
Eval Results (legacy)
Instructions to use AdityaPS/SpaceLLM_Multi_turn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AdityaPS/SpaceLLM_Multi_turn with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openai/gpt-oss-20b") model = PeftModel.from_pretrained(base_model, "AdityaPS/SpaceLLM_Multi_turn") - Notebooks
- Google Colab
- Kaggle
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README.md
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BASE_MODEL = "openai/gpt-oss-20b"
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BASE_REVISION = "6cee5e81ee83917806bbde320786a8fb61efebee"
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ADAPTER_REPO = "AdityaPS/
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tokenizer = AutoTokenizer.from_pretrained(ADAPTER_REPO)
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base_model = AutoModelForCausalLM.from_pretrained(
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BASE_MODEL = "openai/gpt-oss-20b"
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BASE_REVISION = "6cee5e81ee83917806bbde320786a8fb61efebee"
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ADAPTER_REPO = "AdityaPS/SpaceLLM_Multi_Turn"
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tokenizer = AutoTokenizer.from_pretrained(ADAPTER_REPO)
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base_model = AutoModelForCausalLM.from_pretrained(
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