koutch/short_paper_llama_2.json_train_dpo_v1_train_no_think
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Jan 14, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The koutch/short_paper_llama_2.json_train_dpo_v1_train_no_think model is an 8 billion parameter Llama 3.1 instruction-tuned language model developed by koutch. It was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is designed for general language generation tasks, leveraging its efficient training methodology.
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Model Overview
This model, developed by koutch, is an 8 billion parameter instruction-tuned language model based on the Llama 3.1 architecture. It was finetuned from unsloth/meta-llama-3.1-8b-instruct-bnb-4bit.
Key Characteristics
- Architecture: Llama 3.1
- Parameter Count: 8 billion
- Context Length: 32768 tokens
- Training Efficiency: Finetuned using Unsloth and Huggingface's TRL library, resulting in 2x faster training compared to standard methods.
- License: Apache-2.0
Potential Use Cases
This model is suitable for a variety of general-purpose language generation and instruction-following tasks, benefiting from its Llama 3.1 base and efficient finetuning.