allknowingroger

MultiverseEx26-7B-slerp is a merge of the following models using LazyMergekit: yam-peleg/Experiment26-7B MTSAIR/multiversemodel

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: v000000/Qwen2.5-Lumen-14B Qwen/Qwen2.5-14B-Instruct The following YAML configuration was used to produce this model:

Strangecoven-7B-slerp is a merge of the following models using LazyMergekit: Gille/StrangeMerges16-7B-slerp raidhon/coven7b128korpoalpha Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |20.16| |IFEval (0-Shot) |37.46| |BBH (3-Shot) |34.83| |MATH Lvl 5 (4-Shot)| 6.72| |GPQA (0-shot) | 5.26| |MuSR (0-shot) |10.42| |MMLU-PRO (5-shot) |26.27|

A library for natural language processing tasks using the Apache 2.0 license and the transformers library.

Apache 2.0 licensed library for transformers.

Apache 2.0 licensed library for transformers.

This is a merge of pre-trained language models created using mergekit. This model was merged using the Model Stock merge method using CultriX/SeQwence-14Bv1 as a base. The following models were included in the merge: allknowingroger/Qwenslerp2-14B CultriX/Qwen2.5-14B-MegaMerge-pt2 CultriX/Qwen2.5-14B-MergeStock CultriX/Qwestion-14B allknowingroger/Qwen2.5-slerp-14B allknowingroger/Qwenslerp3-14B CultriX/Qwen2.5-14B-Wernicke The following YAML configuration was used to produce this model: Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |36.93| |IFEval (0-Shot) |55.63| |BBH (3-Shot) |50.60| |MATH Lvl 5 (4-Shot)|29.91| |GPQA (0-shot) |17.23| |MuSR (0-shot) |19.28| |MMLU-PRO (5-shot) |48.95|

This is a merge of pre-trained language models created using mergekit. This model was merged using the dellalinear merge method using jpacifico/Chocolatine-14B-Instruct-DPO-v1.2 as a base. The following models were included in the merge: jpacifico/Chocolatine-14B-Instruct-DPO-v1.1 The following YAML configuration was used to produce this model: Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |29.92| |IFEval (0-Shot) |47.99| |BBH (3-Shot) |48.41| |MATH Lvl 5 (4-Shot)|14.35| |GPQA (0-shot) |12.30| |MuSR (0-shot) |14.36| |MMLU-PRO (5-shot) |42.08|

Apache 2.0 licensed library for transformers.

Apache 2.0 licensed library for transformers.

Library for transformers with an Apache 2.0 license.

Base model: Lil-R/2 PRYMMAL-ECE-2B-SLERP-V1, Lil-R/2 PRYMMAL-ECE-2B-SLERP-V2.

ROGERphi-7B-slerp is a merge of the following models using LazyMergekit: rhysjones/phi-2-orange-v2 mobiuslabs/aanaphi-v0.1 Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |20.59| |IFEval (0-Shot) |38.61| |BBH (3-Shot) |32.82| |MATH Lvl 5 (4-Shot)| 6.65| |GPQA (0-shot) | 5.15| |MuSR (0-shot) |17.53| |MMLU-PRO (5-shot) |22.81|

NeuralWestSeverus-7B-slerp is a merge of the following models using LazyMergekit: Kukedlc/Neural4gsm8k PetroGPT/WestSeverus-7B-DPO Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |20.60| |IFEval (0-Shot) |41.36| |BBH (3-Shot) |33.41| |MATH Lvl 5 (4-Shot)| 6.87| |GPQA (0-shot) | 2.80| |MuSR (0-shot) |15.41| |MMLU-PRO (5-shot) |23.75|

This is a merge of pre-trained language models created using mergekit. This model was merged using the task arithmetic merge method using jpacifico/Chocolatine-14B-Instruct-DPO-v1.2 as a base. The following models were included in the merge: failspy/Phi-3-medium-4k-instruct-abliterated-v3 The following YAML configuration was used to produce this model: Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |28.25| |IFEval (0-Shot) |47.13| |BBH (3-Shot) |44.08| |MATH Lvl 5 (4-Shot)|12.46| |GPQA (0-shot) |10.74| |MuSR (0-shot) |16.62| |MMLU-PRO (5-shot) |38.44|

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: sethuiyer/Qwen2.5-7B-Anvita fblgit/cybertron-v4-qw7B-MGS The following YAML configuration was used to produce this model:

Apache 2.0 licensed library using transformers.

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: rombodawg/Rombos-LLM-V2.6-Qwen-14b v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno The following YAML configuration was used to produce this model:

This is a merge of pre-trained language models created using mergekit. This model was merged using the task arithmetic merge method using Qwen/Qwen2.5-7B as a base. The following models were included in the merge: KPEP/krx-qwen-2.5-7b-v1.4.2 Tsunami-th/Tsunami-0.5x-7B-Instruct The following YAML configuration was used to produce this model:

This is a merge of pre-trained language models created using mergekit. This model was merged using the task arithmetic merge method using Qwen/Qwen2.5-7B-Instruct as a base. The following models were included in the merge: huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2 Orion-zhen/Qwen2.5-7B-Instruct-Uncensored The following YAML configuration was used to produce this model:

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: allknowingroger/Qwenslerp3-7B jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0 The following YAML configuration was used to produce this model: Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |29.54| |IFEval (0-Shot) |50.76| |BBH (3-Shot) |36.41| |MATH Lvl 5 (4-Shot)|26.74| |GPQA (0-shot) | 8.72| |MuSR (0-shot) |16.13| |MMLU-PRO (5-shot) |38.45|

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: CultriX/SeQwence-14Bv1 allknowingroger/Qwenslerp2-14B The following YAML configuration was used to produce this model: Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |39.02| |IFEval (0-Shot) |68.67| |BBH (3-Shot) |47.59| |MATH Lvl 5 (4-Shot)|34.14| |GPQA (0-shot) |16.44| |MuSR (0-shot) |18.32| |MMLU-PRO (5-shot) |48.95|

Merge and mergekit.

This model is licensed under Apache 2.0 and is tagged for merging.

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: fblgit/cybertron-v4-qw7B-MGS Tsunami-th/Tsunami-0.5x-7B-Instruct The following YAML configuration was used to produce this model: Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |30.42| |IFEval (0-Shot) |52.94| |BBH (3-Shot) |37.44| |MATH Lvl 5 (4-Shot)|31.87| |GPQA (0-shot) | 8.39| |MuSR (0-shot) |12.82| |MMLU-PRO (5-shot) |39.06|

License: Apache 2.0. Tags: merge.

This is a merge of pre-trained language models created using mergekit. This model was merged using the Model Stock merge method using Qwen/Qwen2.5-14B as a base. The following models were included in the merge: CultriX/SeQwence-14Bv1 CultriX/Qwen2.5-14B-Wernicke CultriX/Qwen2.5-14B-MegaMerge-pt2 CultriX/Qwestion-14B allknowingroger/Qwen2.5-slerp-14B Qwen/Qwen2.5-14B-Instruct allknowingroger/Qwenslerp3-14B allknowingroger/Qwenslerp2-14B CultriX/Qwen2.5-14B-MergeStock The following YAML configuration was used to produce this model: Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |36.76| |IFEval (0-Shot) |56.34| |BBH (3-Shot) |50.08| |MATH Lvl 5 (4-Shot)|29.38| |GPQA (0-shot) |16.89| |MuSR (0-shot) |18.79| |MMLU-PRO (5-shot) |49.09|

License: Apache 2.0. Tags: merge.

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: allknowingroger/Qwen2.5-slerp-14B rombodawg/Rombos-LLM-V2.6-Qwen-14b The following YAML configuration was used to produce this model:

This is a merge of pre-trained language models created using mergekit. This model was merged using the Model Stock merge method using allknowingroger/Qwenslerp2-14B as a base. The following models were included in the merge: allknowingroger/Qwenslerp3-14B allknowingroger/Qwen2.5-slerp-14B The following YAML configuration was used to produce this model:

This is a merge of pre-trained language models created using mergekit. This model was merged using the task arithmetic merge method using Qwen/Qwen2.5-7B-Instruct as a base. The following models were included in the merge: fblgit/cybertron-v4-qw7B-MGS Tsunami-th/Tsunami-0.5x-7B-Instruct The following YAML configuration was used to produce this model:

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: CultriX/Qwestion-14B CultriX/SeQwence-14Bv1 The following YAML configuration was used to produce this model: Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |38.94| |IFEval (0-Shot) |71.19| |BBH (3-Shot) |47.39| |MATH Lvl 5 (4-Shot)|33.16| |GPQA (0-shot) |15.32| |MuSR (0-shot) |17.81| |MMLU-PRO (5-shot) |48.78|

This is a merge of pre-trained language models created using mergekit. This model was merged using the Model Stock merge method using CultriX/SeQwence-14Bv1 as a base. The following models were included in the merge: CultriX/Qwen2.5-14B-MergeStock allknowingroger/QwenStock1-14B CultriX/Qwen2.5-14B-Wernicke allknowingroger/QwenStock2-14B allknowingroger/Qwenslerp2-14B CultriX/Qwen2.5-14B-MegaMerge-pt2 CultriX/Qwestion-14B The following YAML configuration was used to produce this model: Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |36.97| |IFEval (0-Shot) |56.15| |BBH (3-Shot) |50.58| |MATH Lvl 5 (4-Shot)|29.68| |GPQA (0-shot) |17.11| |MuSR (0-shot) |19.11| |MMLU-PRO (5-shot) |49.20|

limyClown-7B-slerp is a merge of the following models using LazyMergekit: liminerity/M7-7b CorticalStack/shadow-clown-7B-slerp

MultiMerge-7B-slerp is a merge of the following models using LazyMergekit: allknowingroger/MultiverseEx26-7B-slerp allknowingroger/limyClown-7B-slerp

WestlakeMaziyar-7B-slerp is a merge of the following models using LazyMergekit: macadeliccc/WestLake-7B-v2-laser-truthy-dpo MaziyarPanahi/TheTop-5x7B-Instruct-S5-v0.1 Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |22.04| |IFEval (0-Shot) |48.38| |BBH (3-Shot) |33.34| |MATH Lvl 5 (4-Shot)| 5.82| |GPQA (0-shot) | 7.16| |MuSR (0-shot) |14.49| |MMLU-PRO (5-shot) |23.08|

This model is licensed under Apache 2.0 and is tagged for merging.

This model is licensed under Apache 2.0 and is tagged for merging.

This model is licensed under Apache 2.0 and is tagged for merging.

This is a merge of pre-trained language models created using mergekit. This model was merged using the task arithmetic merge method using jpacifico/Chocolatine-14B-Instruct-DPO-v1.2 as a base. The following models were included in the merge: jpacifico/Chocolatine-14B-Instruct-4k-DPO failspy/Phi-3-medium-4k-instruct-abliterated-v3 The following YAML configuration was used to produce this model: Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |30.08| |IFEval (0-Shot) |46.95| |BBH (3-Shot) |47.93| |MATH Lvl 5 (4-Shot)|13.90| |GPQA (0-shot) |13.42| |MuSR (0-shot) |16.81| |MMLU-PRO (5-shot) |41.49|

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: 01-ai/Yi-1.5-34B-Chat CombinHorizon/YiSM-blossom5.1-34B-SLERP The following YAML configuration was used to produce this model: Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |30.10| |IFEval (0-Shot) |39.93| |BBH (3-Shot) |47.20| |MATH Lvl 5 (4-Shot)|21.00| |GPQA (0-shot) |15.21| |MuSR (0-shot) |15.85| |MMLU-PRO (5-shot) |41.38|

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: 01-ai/Yi-1.5-34B-Chat BattlescarZa/medibuddy-llm-34B The following YAML configuration was used to produce this model: Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |27.70| |IFEval (0-Shot) |42.35| |BBH (3-Shot) |42.81| |MATH Lvl 5 (4-Shot)|12.24| |GPQA (0-shot) |14.09| |MuSR (0-shot) |15.97| |MMLU-PRO (5-shot) |38.77|

This is a merge of pre-trained language models created using mergekit. This model was merged using the task arithmetic merge method using Qwen/Qwen2.5-7B as a base. The following models were included in the merge: Tsunami-th/Tsunami-0.5x-7B-Instruct jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.1 The following YAML configuration was used to produce this model:

Apache 2.0 licensed library for transformers.

YamMaths-7B-slerp is a merge of the following models using LazyMergekit: automerger/YamshadowExperiment28-7B Kukedlc/NeuralMaths-Experiment-7b Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |20.38| |IFEval (0-Shot) |41.48| |BBH (3-Shot) |32.13| |MATH Lvl 5 (4-Shot)| 7.48| |GPQA (0-shot) | 4.03| |MuSR (0-shot) |13.46| |MMLU-PRO (5-shot) |23.68|

License: Apache 2.0. Tags: merge.

A library for natural language processing tasks using the Apache 2.0 license and the Transformers library.

RogerMerge-7B-slerp is a merge of the following models using LazyMergekit: allknowingroger/MultiverseEx26-7B-slerp allknowingroger/PercivalMelodias-7B-slerp

Neuralcoven-7B-slerp is a merge of the following models using LazyMergekit: allknowingroger/Neurallaymons-7B-slerp raidhon/coven7b128korpoalpha Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |20.16| |IFEval (0-Shot) |38.59| |BBH (3-Shot) |33.80| |MATH Lvl 5 (4-Shot)| 6.65| |GPQA (0-shot) | 4.70| |MuSR (0-shot) |11.76| |MMLU-PRO (5-shot) |25.49|

Neuralmultiverse-7B-slerp is a merge of the following models using LazyMergekit: allknowingroger/MultiverseEx26-7B-slerp allknowingroger/NeuralCeptrix-7B-slerp

Merge and mergekit.

Merge tags include merge and mergekit.

This model is licensed under Apache 2.0 and is tagged for merging.

This model is licensed under Apache 2.0 and is tagged for merging.

Tags: merge, mergekit

This model is licensed under the Apache 2.0 license and is tagged for merging.

MultiMash9-13B-slerp is a merge of the following models using LazyMergekit: zhengr/MixTAO-7Bx2-MoE-v8.1 allknowingroger/Calmex26merge-12B-MoE Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |20.53| |IFEval (0-Shot) |41.88| |BBH (3-Shot) |32.55| |MATH Lvl 5 (4-Shot)| 7.18| |GPQA (0-shot) | 4.03| |MuSR (0-shot) |14.21| |MMLU-PRO (5-shot) |23.33|

Ph3unsloth-3B-slerp is a merge of the following models using LazyMergekit: anandanand84/otcjsonphi3 udayakumar-cyb/meetingmodel

License: Apache 2.0, Tags: merge.

Phi3-19B-pass is a merge of the following models using LazyMergekit: Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |21.35| |IFEval (0-Shot) |18.84| |BBH (3-Shot) |45.25| |MATH Lvl 5 (4-Shot)| 0.00| |GPQA (0-shot) | 9.28| |MuSR (0-shot) |14.84| |MMLU-PRO (5-shot) |39.88|

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: jpacifico/Chocolatine-14B-Instruct-4k-DPO failspy/Phi-3-medium-4k-instruct-abliterated-v3 The following YAML configuration was used to produce this model: Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |23.53| |IFEval (0-Shot) |27.01| |BBH (3-Shot) |48.88| |MATH Lvl 5 (4-Shot)| 0.15| |GPQA (0-shot) |11.74| |MuSR (0-shot) |13.28| |MMLU-PRO (5-shot) |40.12|

This is a merge of pre-trained language models created using mergekit. This model was merged using the task arithmetic merge method using jpacifico/Chocolatine-14B-Instruct-DPO-v1.2 as a base. The following models were included in the merge: jpacifico/Chocolatine-14B-Instruct-4k-DPO The following YAML configuration was used to produce this model: Open LLM Leaderboard Evaluation Results Detailed results can be found here | Metric |Value| |-------------------|----:| |Avg. |30.21| |IFEval (0-Shot) |49.62| |BBH (3-Shot) |48.00| |MATH Lvl 5 (4-Shot)|14.58| |GPQA (0-shot) |12.19| |MuSR (0-shot) |14.95| |MMLU-PRO (5-shot) |41.90|

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: pankajmathur/orcaminiv772b The following YAML configuration was used to produce this model:

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: sam-paech/Quill-v1 sam-paech/Delirium-v1 The following YAML configuration was used to produce this model:

Apache 2.0 licensed library using transformers.

This is a merge of pre-trained language models created using mergekit. This model was merged using the task arithmetic merge method using Qwen/Qwen2.5-7B as a base. The following models were included in the merge: Tsunami-th/Tsunami-0.5x-7B-Instruct jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.2 The following YAML configuration was used to produce this model:

This is a merge of pre-trained language models created using mergekit. This model was merged using the task arithmetic merge method using Qwen/Qwen2.5-7B as a base. The following models were included in the merge: CombinHorizon/Rombos-Qwen2.5-7B-Inst-BaseMerge-TIES macadeliccc/Samantha-Qwen-2-7B The following YAML configuration was used to produce this model:

Apache 2.0 licensed library using transformers.

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: allknowingroger/Qwen2.5-7B-task2 AIDC-AI/Marco-o1 The following YAML configuration was used to produce this model:

This is a merge of pre-trained language models created using mergekit. This model was merged using the SLERP merge method. The following models were included in the merge: hotmailuser/LlamaStock-8B NousResearch/DeepHermes-3-Llama-3-8B-Preview The following YAML configuration was used to produce this model: