Llama 3.1 lineage
Tags identify base_model meta-llama/Llama-3.1-8B with finetune lineage.
Open Source Model Profile · Locutusque
liberalis-cogitator-llama-3.1-8b-dpo is an 8.03B-parameter Llama text-generation fine-tune from Locutusque. According to the model card, it uses Direct Preference Optimization with a 65,536 context window during DPO.
liberalis-cogitator-llama-3.1-8b-dpo is published by Locutusque as a text-generation model. The captured configuration identifies LlamaForCausalLM with llama type, and Safetensors metadata reports 8,030,261,248 parameters. According to the model card, it was trained with a custom DPO algorithm on 16,000 preference pairs plus an SFT set of about 450,000 conversations, problems, and stories.
Tags identify base_model meta-llama/Llama-3.1-8B with finetune lineage.
According to the model card, training used a custom Direct Preference Optimization algorithm on 16,000 preference pairs with a large SFT set.
According to the model card, the context window was scaled to 65,536 during DPO fine-tuning for long conversation.
Safetensors metadata reports 8,030,261,248 parameters with transformers support and llama3.1 licensing.
Source: Locutusque/liberalis-cogitator-llama-3.1-8b-dpo
Captured: Unknown. Processed: 2026-09-07T19:35:41.459106+00:00.
liberalis-cogitator-llama-3.1-8b — The Free Thinker “Thought, unbound, is the only true frontier.” liberalis-cogitator-llama-3.1-8b is not just a machine for words — it is a forge for ideas. With 8 billion parameters , trained with a custom Direct Preference Optimization (DPO) algorithm on a dataset of 16,000 preference pairs and a SFT dataset spanning ~450,000 conversations, problems, and stories , this model embraces the philosophy that thought should wander without leash or muzzle. During DPO fine-tuning, the context window was scaled to 65536, giving this model the capabilities of long conversation. Its name — liberalis cogitato…
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