artificialguybr / LLAMA-3.2-1B-OpenHermes2.5

huggingface.co
Total runs: 42
24-hour runs: 1
7-day runs: 6
30-day runs: 19
Model's Last Updated: July 21 2026
text-generation

Introduction of LLAMA-3.2-1B-OpenHermes2.5

Model Details of LLAMA-3.2-1B-OpenHermes2.5

OpenHermes-Llama-3.2-1B

Model Description

Thanks Redmond.AI for GPU Sponsor!

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the OpenHermes-2.5 dataset. It is based on the Llama 3.2 architecture, which is an optimized transformer model designed for multilingual dialogue use cases, including agentic retrieval and summarization tasks.

Key Features:
  • Base Model : Meta Llama 3.2 1B
  • Fine-tuning Dataset : OpenHermes 2.5
  • Architecture : Auto-regressive language model with optimized transformer architecture
  • Params : 1.23B
  • Context Length : 128k
  • Input/Output Modalities : Multilingual Text and code
  • Supported Languages : Primarily English, with potential for other languages supported by Llama 3.2
Intended Uses & Limitations

This model is intended for commercial and research use in multiple languages, particularly suited for assistant-like chat and agentic applications such as knowledge retrieval, summarization, and query rewriting. It inherits the capabilities and limitations of both the Llama 3.2 1B base model and the OpenHermes 2.5 dataset.

Out of Scope:
  • Use that violates applicable laws or regulations
  • Use prohibited by the Acceptable Use Policy and Llama 3.2 Community License
  • Use in unsupported languages without proper evaluation and safety measures
Training Procedure
Training Data

The model was fine-tuned on the OpenHermes 2.5 dataset, which contains 1M primarily synthetically generated instruction and chat samples. This dataset is a compilation of various open-source datasets and custom-created synthetic datasets, designed to enhance the model's performance in instruction-following and chat scenarios.

Training Results
Training Loss Epoch Step Validation Loss
1.1101 0.0003 1 0.9499
0.7977 0.5000 1438 0.8729
0.8338 1.0000 2876 0.8647
0.7714 1.4981 4314 0.8637
0.8305 1.9983 5752 0.8612
0.6801 2.4963 7190 0.8631
Evaluation Results

The model achieves a final validation loss of 0.8631.

Ethical Considerations and Limitations

Users should be aware of potential biases in the training data and exercise caution when deploying the model, especially in sensitive applications. The model's outputs should be carefully monitored and filtered for inappropriate content.

For more information on the base Llama 3.2 model, please refer to the official Llama 3.2 model card .

Runs of artificialguybr LLAMA-3.2-1B-OpenHermes2.5 on huggingface.co

42
Total runs
1
24-hour runs
5
3-day runs
6
7-day runs
19
30-day runs

More Information About LLAMA-3.2-1B-OpenHermes2.5 huggingface.co Model

More LLAMA-3.2-1B-OpenHermes2.5 license Visit here:

https://choosealicense.com/licenses/llama3.2

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LLAMA-3.2-1B-OpenHermes2.5 install

LLAMA-3.2-1B-OpenHermes2.5 is an open source model from GitHub that offers a free installation service, and any user can find LLAMA-3.2-1B-OpenHermes2.5 on GitHub to install. At the same time, huggingface.co provides the effect of LLAMA-3.2-1B-OpenHermes2.5 install, users can directly use LLAMA-3.2-1B-OpenHermes2.5 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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