bryordas/v041-R1f
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:May 6, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
bryordas/v041-R1f is an 8 billion parameter instruction-tuned language model developed by bryordas, finetuned from unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit. This model leverages Unsloth and Huggingface's TRL library for accelerated training, offering an efficient implementation of the Llama 3.1 architecture. It is designed for general-purpose language tasks, benefiting from its Llama 3.1 base and optimized training methodology.
Loading preview...
bryordas/v041-R1f: An Optimized Llama 3.1 Instruction Model
bryordas/v041-R1f is an 8 billion parameter instruction-tuned large language model, developed by bryordas. It is finetuned from the unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit base model, inheriting the robust capabilities of the Llama 3.1 architecture.
Key Characteristics
- Base Model: Finetuned from Meta Llama 3.1 8B Instruct.
- Optimized Training: Utilizes Unsloth and Huggingface's TRL library, enabling 2x faster training compared to standard methods.
- Parameter Count: Features 8 billion parameters, balancing performance with computational efficiency.
- Context Length: Supports an 8192-token context window.
Good For
- General Instruction Following: Excels at tasks requiring adherence to instructions, leveraging its Llama 3.1 foundation.
- Efficient Deployment: The optimized training process suggests potential for efficient inference, making it suitable for applications where speed and resource management are important.
- Llama 3.1 Ecosystem: Benefits from the broad compatibility and community support of the Llama 3.1 family.