Text Generation
PEFT
Safetensors
Nuosu
Chinese
English
qwen3
lora
nuosu
liangshan-yi
machine-translation
low-resource-language
academic-research
conversational
Instructions to use NiceAsiv/Qwen3-1.7B-Nuosu-MT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NiceAsiv/Qwen3-1.7B-Nuosu-MT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-1.7B") model = PeftModel.from_pretrained(base_model, "NiceAsiv/Qwen3-1.7B-Nuosu-MT") - Notebooks
- Google Colab
- Kaggle
sanitize public adapter metadata
Browse filesReplace the local base-model path with the public Qwen model ID and refresh SHA256SUMS.
- SHA256SUMS +1 -1
- adapter_config.json +1 -1
SHA256SUMS
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@@ -1,4 +1,4 @@
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-
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3539b0bd31bbb9699a20300621271df5976f1688f1821ef9e4edd8af27ad7168 ./adapter_model.safetensors
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a55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8 ./chat_template.jinja
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90603faca85b5b119d64746d627443923cf6bcd5143ac98fa1f5592debf2480e ./evaluation/post-canary-metrics.json
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+
7c7f90a573dad16937bf7188474e1ec08cb9b95086d9abbcd30d26cc9a93a9b5 ./adapter_config.json
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3539b0bd31bbb9699a20300621271df5976f1688f1821ef9e4edd8af27ad7168 ./adapter_model.safetensors
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a55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8 ./chat_template.jinja
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90603faca85b5b119d64746d627443923cf6bcd5143ac98fa1f5592debf2480e ./evaluation/post-canary-metrics.json
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adapter_config.json
CHANGED
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@@ -3,7 +3,7 @@
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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-
"base_model_name_or_path": "/
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": true,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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+
"base_model_name_or_path": "Qwen/Qwen3-1.7B",
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"bias": "none",
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| 8 |
"corda_config": null,
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| 9 |
"ensure_weight_tying": true,
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