ReasoningCore-1B-r1-0

Model overview

ReasoningCore-1B-r1-0 is published by EpistemeAI as a Llama text-generation model. The captured configuration identifies LlamaForCausalLM with model type llama. According to the model card, it is an experimental reasoning-enhanced release fine-tuned with a reasoning dataset.

Recorded capabilities

Use cases in the source record

• Reasoning, dialogue-management, retrieval, and summarization experiments using the card's <reasoning> system-prompt format.
• Safety-guarded deployment research that pairs the model with broader system measures such as prompt and code screening.

Limitations and unknowns

• According to the model card, this is an experimental model, so behavior and support scope should be treated as provisional.
• According to the model card, some passages inconsistently describe ReasoningCore-3B and broad benchmark outperformance without extracted measurements.
• No Safetensors parameter count was extracted from this record.
• No independent evaluation results were extracted from this record.
• Provider state is historical snapshot data, not independently refreshed current availability.

Source and provenance

Source: EpistemeAI/ReasoningCore-1B-r1-0

Captured: Unknown. Processed: 2026-09-07T19:35:05.203978+00:00.

Note: This is experimental model. For a supervised version, go to link ReasoningCore‑1B-r1-0 (Zero) Very fast reasoning LLM ReasoningCore‑1B is a multilingual, reasoning‑enhanced large language model developed by EpitemeAI. Pretrained on vast amounts of publicly available data and instruction‑tuned to excel at nuanced reasoning, dialogue management, retrieval, and summarization tasks, it often outperforms many current open source and proprietary conversational models on a range of industry benchmarks. Fine tuned with reasoning dataset. Model Information Model Developer: EpitemeAI Model Architecture: ReasoningCore‑3B is an auto‑regre…