lejelly / deepseek-ep3-data10-taskwise-lambda03

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: 1
30-day runs: 2
Model's Last Updated: October 09 2025

Introduction of deepseek-ep3-data10-taskwise-lambda03

Model Details of deepseek-ep3-data10-taskwise-lambda03

Merged Model using LLM-AdaMerge (task_wise)

This model was created by merging multiple fine-tuned models using the LLM-AdaMerge approach with task_wise merging.

Merge Details
  • Merge Type : task_wise
  • Base Model : deepseek-ai/deepseek-coder-7b-base-v1.5
  • Number of Models Merged : 2
  • Models Merged : math, code
  • Final Training Loss : N/A
  • Training Epochs : 0
Lambda Coefficients

The following lambda coefficients were learned during training:

Task-wise lambda coefficients are stored in the learned_lambdas.json file.

Usage
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("your-username/model-name")
tokenizer = AutoTokenizer.from_pretrained("your-username/model-name")

# Use the model
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs[0]))
Training Configuration

See the uploaded training_config.json file for detailed training configuration.

Citation

If you use this model, please cite the LLM-AdaMerge paper:

@article{llmadamerge2024,
  title={LLM-AdaMerge: Adaptive Model Merging for Large Language Models},
  author={...},
  year={2024}
}

Runs of lejelly deepseek-ep3-data10-taskwise-lambda03 on huggingface.co

3
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
2
30-day runs

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