amkb222/runpod-proof-chat-lora
TEXT GENERATIONPricing:Input $0.2 / Cached $0.028 / Output $0.32Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 24, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The amkb222/runpod-proof-chat-lora is an 8 billion parameter Llama 3.1 model, fine-tuned by amkb222 using Unsloth and Huggingface's TRL library. This model is optimized for chat applications, leveraging efficient training methods for faster development. It is designed for conversational tasks, building upon the robust Llama 3.1 architecture.
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Model Overview
The amkb222/runpod-proof-chat-lora is an 8 billion parameter Llama 3.1 model, fine-tuned by amkb222. This model leverages the unsloth/Meta-Llama-3.1-8B-bnb-4bit as its base, indicating a focus on efficient deployment and performance.
Key Characteristics
- Base Model: Fine-tuned from
Meta-Llama-3.1-8B-bnb-4bit, providing a strong foundation from the Llama 3.1 series. - Efficient Training: The fine-tuning process was accelerated using Unsloth and Huggingface's TRL library, enabling faster iteration and development.
- Parameter Count: Features 8 billion parameters, offering a balance between capability and computational requirements.
Use Cases
This model is particularly well-suited for:
- Chat Applications: Its fine-tuned nature suggests strong performance in conversational AI scenarios.
- Efficient Deployment: The use of
bnb-4bitand Unsloth implies it can be run more efficiently than standard Llama 3.1 models, making it suitable for environments with resource constraints. - Rapid Prototyping: Developers looking for a Llama 3.1-based chat model that was trained quickly can benefit from its optimized training methodology.