Lamarckvergence-14B

Model overview

Lamarckvergence-14B is published by suayptalha as a Qwen2 text-generation model. The captured configuration identifies Qwen2ForCausalLM, and Safetensors metadata reports 14,765,947,904 parameters. According to the model card, it is a merge of pre-trained language models created with mergekit using the SLERP merge method.

Recorded capabilities

Use cases in the source record

• Conversational text-generation experiments using the captured Qwen2 merge configuration with Transformers support.
• Mergekit and SLERP workflow study using the publisher-documented source models and YAML configuration.

Limitations and unknowns

• No evaluation results were extracted from this record; the card's leaderboard claim has not been independently verified.
• No context-window value, VRAM requirement, or inference pricing was extracted.
• Provider state is historical snapshot data and should be refreshed before being presented as current.
• Merge and ranking claims come from the publisher model card and were not independently verified by Ethen.

Source and provenance

Source: suayptalha/Lamarckvergence-14B

Captured: Unknown. Processed: 2026-09-07T19:35:31.073550+00:00.

Merged Model This model is currently ranked #1 among the models up to 15B parameters and #56 among all models on the Open LLM Leaderboard . -15.2.2025 This is a merge of pre-trained language models created using mergekit . Merge Details Merge Method This model was merged using the SLERP merge method. Models Merged The following models were included in the merge: sometimesanotion/Lamarck-14B-v0.7 sometimesanotion/Qwenvergence-14B-v12-Prose-DS Configuration The following YAML configuration was used to produce this model: base_model: sometimesanotion/Lamarck-14B-v0.7 dtype: bfloat16 merge_method: slerp parameters: t: - filter: self_att…