Dharshna/interview-llama
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 14, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Dharshna/interview-llama is an 8 billion parameter Llama 3-based instruction-tuned language model, developed by Dharshna. It was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for conversational AI tasks, leveraging its Llama 3 foundation and instruction tuning for improved response generation.
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Model Overview
Dharshna/interview-llama is an 8 billion parameter instruction-tuned language model, developed by Dharshna. It is built upon the Llama 3 architecture, specifically finetuned from unsloth/llama-3-8b-Instruct-bnb-4bit. The finetuning process utilized Unsloth and Huggingface's TRL library, which facilitated a 2x faster training speed.
Key Characteristics
- Base Model: Llama 3 (8B parameters)
- Finetuning: Instruction-tuned for conversational applications.
- Training Efficiency: Leverages Unsloth for accelerated training.
- Context Length: Supports an 8192-token context window.
Good For
- Conversational AI: Its instruction-tuned nature makes it suitable for dialogue systems and interactive applications.
- Rapid Prototyping: The efficient training methodology suggests it could be a good choice for developers looking to quickly adapt a Llama 3 model for specific use cases.
- General Text Generation: Capable of various language tasks due to its Llama 3 foundation.