agentlans / Llama3.1-Daredevilish

huggingface.co
Total runs: 22
24-hour runs: 0
7-day runs: -4
30-day runs: 2
Model's Last Updated: January 23 2025

Introduction of Llama3.1-Daredevilish

Model Details of Llama3.1-Daredevilish

Llama 3.1 Daredevilish

This model is an experimental Llama 3.1-based merge, inspired by the approach used in mlabonne/Daredevil-8B . It combines top-performing MMLU-Pro models using the 8.03 billion parameter Llama architecture from the Open LLM Leaderboard as of January 21, 2025.

Model Details
  • Architecture: Llama 3.1 (8.03B parameters)
  • Training: Merged from top MMLU-Pro models, with additional SFT
  • Release Date: January 21, 2025

The model fails to end replies properly when used with some system prompts. Consider waiting until this bug has been resolved before downloading the model.

Key Features
  1. Merged Architecture: Combines high-performing MMLU-Pro models to enhance overall capabilities.
  2. Llama 3 Compatibility: Additional Supervised Fine-Tuning (SFT) ensures adherence to Llama 3 prompt format.
  3. SFT Dataset: agentlans/crash-course dataset (1200 row configuration) for supervised fine-tuning in LLaMA-Factory .
  4. Fine-Tuning Approach:
    • 1 epoch training
    • Rank 4 LoRA
    • Alpha = 4
    • rslora
Merge Configuration

The model was created using mergekit with the following merge configuration:

models:
  - model: DreadPoor/LemonP-8B-Model_Stock
    parameters:
      density: 0.6
      weight: 0.16
  - model: Youlln/1PARAMMYL-8B-ModelStock
    parameters:
      density: 0.6
      weight: 0.13
  - model: jaspionjader/f-2-8b
    parameters:
      density: 0.6
      weight: 0.10
  - model: Etherll/SuperHermes
    parameters:
      density: 0.6
      weight: 0.08
merge_method: dare_ties
base_model: meta-llama/Llama-3.1-8B
dtype: bfloat16
Usage and Limitations

This experimental model is designed for research and development purposes. Users should be aware of potential biases and limitations inherent in language models. Always validate outputs and use the model responsibly.

Future Work

Further evaluation and fine-tuning may be necessary to optimize performance across various tasks. Researchers are encouraged to build upon this experimental merge to advance the capabilities of Llama-based models.

Runs of agentlans Llama3.1-Daredevilish on huggingface.co

22
Total runs
0
24-hour runs
-6
3-day runs
-4
7-day runs
2
30-day runs

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Llama3.1-Daredevilish install

Llama3.1-Daredevilish is an open source model from GitHub that offers a free installation service, and any user can find Llama3.1-Daredevilish on GitHub to install. At the same time, huggingface.co provides the effect of Llama3.1-Daredevilish install, users can directly use Llama3.1-Daredevilish installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Llama3.1-Daredevilish install url in huggingface.co:

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