Transformers
GGUF
English
Chinese
chat-template
reasoning
cot
protium
solstice-ai
objective-gated
zero-waste
dynamic-reasoning
ollama
llama.cpp
vllm
Instructions to use Solstice-AI/Protium-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Solstice-AI/Protium-1.0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Solstice-AI/Protium-1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete apply_template.py
Browse files- apply_template.py +0 -103
apply_template.py
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#!/usr/bin/env python3
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"""
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Protium-1.0 Chat Template Applier
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Usage:
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python apply_template.py --template universal --local-dir ./path/to/model
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python apply_template.py --template deepseek --model-id Solstice-AI/my-model --push
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"""
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import argparse
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import json
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import os
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import sys
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from huggingface_hub import HfApi, hf_hub_download
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TEMPLATES = {
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"universal": "templates/universal.jinja",
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"deepseek": "templates/deepseek.jinja",
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"qwen": "templates/qwen.jinja",
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"glm": "templates/glm.jinja",
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"llama3": "templates/llama3.jinja",
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"llama": "templates/llama3.jinja",
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"mistral": "templates/mistral.jinja",
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"gemma": "templates/gemma.jinja",
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}
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def load_template(name):
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base_dir = os.path.dirname(os.path.abspath(__file__))
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rel_path = TEMPLATES.get(name.lower())
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if not rel_path:
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raise ValueError(f"Unknown template: {name}. Available: {list(TEMPLATES.keys())}")
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full_path = os.path.join(base_dir, rel_path)
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with open(full_path, "r", encoding="utf-8") as f:
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return f.read()
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def apply_local(local_dir, template_name):
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tc_path = os.path.join(local_dir, "tokenizer_config.json")
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if not os.path.exists(tc_path):
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print(f"Error: {tc_path} not found.")
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sys.exit(1)
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template_code = load_template(template_name)
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with open(tc_path, "r", encoding="utf-8") as f:
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tc = json.load(f)
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tc["chat_template"] = template_code
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with open(tc_path, "w", encoding="utf-8") as f:
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json.dump(tc, f, indent=2, ensure_ascii=False)
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f.write("\n")
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# Also save chat_template.jinja standalone
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jinja_path = os.path.join(local_dir, "chat_template.jinja")
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with open(jinja_path, "w", encoding="utf-8") as f:
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f.write(template_code)
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print(f" Successfully applied {template_name} template to {local_dir}")
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def apply_hub(model_id, template_name, push=False, token=None):
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api = HfApi(token=token)
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print(f"Downloading tokenizer_config.json from {model_id}...")
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tc_path = hf_hub_download(repo_id=model_id, filename="tokenizer_config.json", token=token)
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with open(tc_path, "r", encoding="utf-8") as f:
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tc = json.load(f)
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template_code = load_template(template_name)
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tc["chat_template"] = template_code
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if push:
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print(f"Pushing updated tokenizer_config.json and chat_template.jinja to {model_id}...")
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api.upload_file(
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path_or_fileobj=json.dumps(tc, indent=2, ensure_ascii=False).encode("utf-8"),
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path_in_repo="tokenizer_config.json",
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repo_id=model_id,
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commit_message=f"feat: apply Protium-1.0 {template_name} chat template"
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)
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api.upload_file(
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path_or_fileobj=template_code.encode("utf-8"),
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path_in_repo="chat_template.jinja",
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repo_id=model_id,
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commit_message=f"feat: add Protium-1.0 {template_name} chat_template.jinja"
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)
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print(f" Successfully pushed to {model_id}!")
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else:
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print("Dry run completed. Pass --push to commit changes to Hugging Face Hub.")
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def main():
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parser = argparse.ArgumentParser(description="Apply Protium-1.0 Chat Templates")
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parser.add_argument("--template", "-t", required=True, choices=list(TEMPLATES.keys()), help="Template family to apply")
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parser.add_argument("--local-dir", "-l", help="Path to local model directory")
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parser.add_argument("--model-id", "-m", help="Hugging Face Model ID (e.g. org/model)")
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parser.add_argument("--push", action="store_true", help="Push to Hugging Face Hub")
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parser.add_argument("--token", help="Hugging Face User Access Token")
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args = parser.parse_args()
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if args.local_dir:
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apply_local(args.local_dir, args.template)
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elif args.model_id:
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apply_hub(args.model_id, args.template, push=args.push, token=args.token)
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else:
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print("Please provide either --local-dir or --model-id.")
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sys.exit(1)
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if __name__ == "__main__":
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main()
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