johnsutor

32 models • 31 total models in database

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Llama-3-8B-Instruct_ties-density-0.7

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: ties Random seed: 42 density: 0.7 normalize: true weight: 1.0

Llama-3-8B-Instruct_breadcrumbs_ties-density-0.7-gamma-0.1

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: breadcrumbsties Random seed: 42 density: 0.7 gamma: 0.1 normalize: true weight: 1.0

Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.01

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: breadcrumbs Random seed: 42 density: 0.3 gamma: 0.01 normalize: true weight: 1.0

Llama-3-8B-Instruct_dare_ties-density-0.9

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: dareties Random seed: 42 density: 0.9 normalize: true weight: 1.0

Llama-3-8B-Instruct_breadcrumbs_ties-density-0.3-gamma-0.1

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: breadcrumbsties Random seed: 42 density: 0.3 gamma: 0.1 normalize: true weight: 1.0

Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.01

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: breadcrumbsties Random seed: 42 density: 0.5 gamma: 0.01 normalize: true weight: 1.0

Llama-3-8B-Instruct_breadcrumbs-density-0.1-gamma-0.01

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: breadcrumbs Random seed: 42 density: 0.1 gamma: 0.01 normalize: true weight: 1.0

sponge_pick_up_policy

license:apache-2.0

mixture-of-gemmas

Llama-3-8B-Instruct_dare_ties-density-0.3

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: dareties Random seed: 42 density: 0.3 normalize: true weight: 1.0

Llama-3-8B-Instruct_dare_ties-density-0.7

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: dareties Random seed: 42 density: 0.7 normalize: true weight: 1.0

Llama-3-8B-Instruct_dare_linear

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: darelinear Random seed: 42 normalize: true weight: 1.0

Llama-3-8B-Instruct_ties-density-0.3

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: ties Random seed: 42 density: 0.3 normalize: true weight: 1.0

Llama-3-8B-Instruct_ties-density-0.9

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: ties Random seed: 42 density: 0.9 normalize: true weight: 1.0

Llama-3-8B-Instruct_breadcrumbs_ties-density-0.5-gamma-0.1

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: breadcrumbsties Random seed: 42 density: 0.5 gamma: 0.1 normalize: true weight: 1.0

Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.01

Llama-3-8B-Instruct_breadcrumbs-density-0.5-gamma-0.1

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: breadcrumbs Random seed: 42 density: 0.5 gamma: 0.1 normalize: true weight: 1.0

Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.1

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: breadcrumbs Random seed: 42 density: 0.7 gamma: 0.1 normalize: true weight: 1.0

Llama-3-8B-Instruct_ties-density-0.1

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: ties Random seed: 42 density: 0.1 normalize: true weight: 1.0

Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: breadcrumbsties Random seed: 42 density: 0.1 gamma: 0.1 normalize: true weight: 1.0

Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.01

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: breadcrumbsties Random seed: 42 density: 0.9 gamma: 0.01 normalize: true weight: 1.0

Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: breadcrumbs Random seed: 42 density: 0.3 gamma: 0.1 normalize: true weight: 1.0

Llama-3-8B-Instruct_breadcrumbs-density-0.9-gamma-0.1

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: breadcrumbs Random seed: 42 density: 0.9 gamma: 0.1 normalize: true weight: 1.0

mixture-of-gemmas-ties

mixture-of-gemmas-dare-linear

mixture-of-gemmas-dare-ties

mixture-of-gemmas-linear

mixture-of-gemmas-slerp

mixture-of-llamas-linear

Llama-3-8B-Instruct_ties-density-0.5

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: ties Random seed: 42 density: 0.5 normalize: true weight: 1.0

Llama-3-8B-Instruct_breadcrumbs_ties-density-0.9-gamma-0.1

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: breadcrumbsties Random seed: 42 density: 0.9 gamma: 0.1 normalize: true weight: 1.0

Llama-3-8B-Instruct_breadcrumbs-density-0.7-gamma-0.01

Model Merge Parameters Base model: meta-llama/Meta-Llama-3-8B-Instruct Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct DeepMount00/Llama-3-8b-Ita nbeerbower/llama-3-gutenberg-8B jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 meta-llama/Meta-Llama-3-8B-Instruct Merge method: breadcrumbs Random seed: 42 density: 0.7 gamma: 0.01 normalize: true weight: 1.0