SriHarsha1590/chemistry-validator-llama3
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Mar 16, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The SriHarsha1590/chemistry-validator-llama3 is an 8 billion parameter Llama 3.1 model, fine-tuned by SriHarsha1590 using Unsloth and Huggingface's TRL library. This model is specifically designed for chemistry validation tasks, leveraging its 8192 token context length. Its primary differentiation lies in its specialized fine-tuning for chemistry-related applications, making it suitable for validating chemical information.
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Model Overview
This model, SriHarsha1590/chemistry-validator-llama3, is an 8 billion parameter Llama 3.1 variant, fine-tuned by SriHarsha1590. It was developed using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process. The model has a context length of 8192 tokens.
Key Capabilities
- Chemistry Validation: Specifically fine-tuned for tasks related to validating chemical information.
- Llama 3.1 Architecture: Built upon the Meta Llama 3.1 base model, providing a robust foundation.
- Efficient Training: Utilized Unsloth for accelerated fine-tuning.
Good For
- Applications requiring specialized validation of chemistry-related data.
- Researchers and developers working on chemistry-specific language tasks.
- Use cases where a fine-tuned Llama 3.1 model with an 8192 token context is beneficial for chemistry applications.