prathameshbandal/VerdictAI-llama-8b
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Dec 27, 2025License:apache-2.0Architecture:Transformer Open Weights Cold
The VerdictAI-llama-8b is an 8 billion parameter Llama 3.1 instruction-tuned causal language model developed by bandal2003. This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in 2x faster training. It is designed for general language understanding and generation tasks, leveraging the Llama 3.1 architecture.
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VerdictAI-llama-8b: A Fine-Tuned Llama 3.1 Model
The prathameshbandal/VerdictAI-llama-8b is an 8 billion parameter instruction-tuned language model based on the Llama 3.1 architecture. Developed by bandal2003, this model was fine-tuned from unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Llama 3.1, an advanced causal language model.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a context window of 32768 tokens, enabling processing of longer inputs.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
Use Cases
This model is suitable for a variety of natural language processing tasks, including but not limited to:
- Instruction-following and conversational AI.
- Text generation and summarization.
- Question answering.
- General language understanding applications where a Llama 3.1 base model with efficient fine-tuning is beneficial.