Goetia-26B-A4B-v1.4-SOMPOA-heresy API & Inference Endpoint

Merge Details

Merge Method

This model was merged using the MoE DELLA merge method using google/gemma-4-26B-A4B as a base.

Models Merged

The following models were included in the merge:

⚙️ Configuration

yaml

architecture: Gemma4ForConditionalGenerationbase_model: B:\26B\google_gemma-4-26B-A4Bmodels:  - model: B:\26B\BeaverAI_Orion-26B-A4B-v1b-GGUF    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\ReadyArt_Serenity-26B-A4B-HB16-Q8_0    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\zerofata_G4-MeroMero-26B-A4B    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Darkhn_Gemma-4-26B-A4B-Animus-V14.1-FFT    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Gryphe--Pantheon-Reasoning-26B-A4B-1.1    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Gryphe--Gemma-4-26B-A4B-StyleTune-V2    parameters:      weight:        - filter: "lm_head"          value: 1.0        - filter: "embed_tokens"          value: 1.0        - value: 0.0      density: 0.9      epsilon: 0.09merge_method: moe_della # v3 patches missing lm_head and embed_tokensparameters:    lambda: 1.0  normalize: false  int8_mask: false  rescale: true  router_strategy: della # average # random_init  blend_experts: truedtype: float32out_dtype: bfloat16tokenizer:  source: unionchat_template: autoname: Goetia 26B A4B v1.4

This model is NOT currently uncensored. There are refusals, and standard jailbreak resistance.

However it can easily be decensored using Heretic, although I have not had time to uncensor v1.4 yet. To ablate using ARA (recommended), I'd start with this json, and follow the steps outlined in the v1.3 readme.

🧙 Heretic Grimoire

reproduce.json

json

{  "version": "1.2.0-dev",  "base_model": "Naphula/Goetia-26B-A4B-v1.3",  "timestamp": "2026-06-19T08:04:47Z",  "metrics": {    "kl_divergence": 0.030937770381569862,    "refusals": 3,    "n_bad_prompts": 100  },  "parameters": {    "start_layer_index": "14",    "end_layer_index": "26",    "preserve_good_behavior_weight": "1.4404",    "steer_bad_behavior_weight": "0.0100",    "overcorrect_relative_weight": "0.9144",    "neighbor_count": "15"  },  "target_components": [    "attn.o_proj"  ],  "hardware": "RTX 6000 Blackwell (96GB)"}

💡 Details

v1.4 was made the same way as v1.3 except with additional patches and less models. See this page and the section below for more details.

Critical patch notes for G4 26B A4B moe_della merges

auto.py fix

    #if _get_tied_weight_keys is None:    #    LOG.warning(    #        "Unable to get tied weights - incompatible transformers version",    #    )    #    tied_keys = None    #else:    #    tied_keys = _get_tied_weight_keys(model)    ####    # Force untying for Gemma 4 configurations to ensure lm_head is compiled    tied_keys = None    ####    if ignore_on_save is not None:        ignore_on_save = set(ignore_on_save)

plan.py fix

#for model, w_in in zip(models, weights_in):            #    index = LoaderCache().get(model).index            #    if any(            #        name in index.tensor_paths            #        for name in [w_in.name] + (w_in.aliases or [])            #    ):            #        any_weight = True            #        break            for model, w_in in zip(models, weights_in):                index = LoaderCache().get(model).index                if any(                    name in index.tensor_paths                    for name in [w_in.name] + list(w_in.aliases or [])                ):                    any_weight = True                    break

gemma4.json

json

{  "model_type": "gemma4",  "architectures": [    "Gemma4ForConditionalGeneration"  ],  "num_layers_config_key": "text_config.num_hidden_layers",  "vocab_size_config_key": "text_config.vocab_size",  "pre_weights": [    { "name": "model.language_model.embed_tokens.weight", "is_embed": true },    { "name": "model.embed_vision.embedding_projection.weight", "optional": true },    { "name": "model.vision_tower.std_bias", "optional": true },    { "name": "model.vision_tower.std_scale", "optional": true },    { "name": "model.vision_tower.patch_embedder.input_proj.weight", "optional": true },    { "name": "model.vision_tower.patch_embedder.position_embedding_table", "optional": true }  ],  "layer_templates": {    "weights": [      { "name": "model.language_model.layers.${layer_index}.self_attn.q_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.k_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.v_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.o_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.q_norm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.k_norm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.mlp.gate_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.mlp.up_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.mlp.down_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.input_layernorm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.post_attention_layernorm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.pre_feedforward_layernorm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.post_feedforward_layernorm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.post_feedforward_layernorm_1.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.post_feedforward_layernorm_2.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.pre_feedforward_layernorm_2.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.router.per_expert_scale", "optional": true },      { "name": "model.language_model.layers.${layer_index}.router.proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.router.scale", "optional": true },      { "name": "model.language_model.layers.${layer_index}.experts.gate_up_proj", "optional": true },      { "name": "model.language_model.layers.${layer_index}.experts.down_proj", "optional": true },      { "name": "model.language_model.layers.${layer_index}.layer_scalar", "optional": true }    ]  },  "post_weights": [    { "name": "model.language_model.norm.weight" },    {       "name": "lm_head.weight",       "is_embed": true,       "optional": true,      "aliases": ["model.language_model.embed_tokens.weight"]    }  ]}

yaml

architecture: Gemma4ForConditionalGenerationbase_model: B:\26B\google_gemma-4-26B-A4Bmodels:  - model: B:\26B\BeaverAI_Orion-26B-A4B-v1b-GGUF    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\ReadyArt_Serenity-26B-A4B-HB16-Q8_0    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\zerofata_G4-MeroMero-26B-A4B    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Darkhn_Gemma-4-26B-A4B-Animus-V14.1-FFT    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Gryphe--Pantheon-Reasoning-26B-A4B-1.1    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Gryphe--Gemma-4-26B-A4B-StyleTune-V2    parameters:      weight:        - filter: "lm_head"          value: 1.0        - filter: "embed_tokens"          value: 1.0        - value: 0.0      density: 0.9      epsilon: 0.09merge_method: moe_della # v3 patches missing lm_head and embed_tokensparameters:    lambda: 1.0  normalize: false  int8_mask: false  rescale: true  router_strategy: della # average # random_init  blend_experts: truedtype: float32out_dtype: bfloat16tokenizer:  source: unionchat_template: autoname: Goetia 26B A4B v1.4

With the above patches applied, it now appears to be merging correctly. We'll see if it generates the full sized 49.4GB safetensors instead of 47GB

bat

[MoE_DELLA Audit] Layer: lm_head.weight | Lambda=1.00  [BASE] google_gemma-4-26B-A4B  Darkhn_Gemma-4-26B-A4B-Animus-V14.1-FFT           :                                                      0.0% (W:0.00 D:0.90 E:0.09 N:68.94)  Gryphe--Gemma-4-26B-A4B-StyleTune-V2              : ██████████████████████████████████████████████████ 100.0% (W:1.00 D:0.90 E:0.09 N:68.94)  Gryphe--Pantheon-Reasoning-26B-A4B-1.1            :                                                      0.0% (W:0.00 D:0.90 E:0.09 N:68.79)  zerofata_G4-MeroMero-26B-A4B                      :                                                      0.0% (W:0.00 D:0.90 E:0.09 N:68.94)Executing graph:  20%|███████████████████████████████████▊                                                                                                                                            | 1352/6635 [03:53<2:01:35,  1.38s/it]WARNING:mergekit.graph:Fast path OOM, falling back to chunkingWARNING:mergekit.graph:OOM at chunk 64, reducing to 32 (attempt 1, progress: 0/128)WARNING:mergekit.graph:OOM at chunk 32, reducing to 16 (attempt 2, progress: 0/128)Executing graph:  20%|████████████████████████████████████                                                                                                                                            | 1360/6635 [04:04<1:03:57,  1.37it/s]WARNING:mergekit.graph:Fast path OOM, falling back to chunkingWARNING:mergekit.graph:OOM at chunk 64, reducing to 32 (attempt 1, progress: 0/128)WARNING:mergekit.graph:OOM at chunk 32, reducing to 16 (attempt 2, progress: 0/128)Executing graph:  21%|█████████████████████████████████████▏                                                                                                                                            | 1384/6635 [04:19<13:57,  6.27it/s][MoE_DELLA Audit] Layer: model.language_model.layers.0.mlp.down_proj.weight | Lambda=1.00  [BASE] google_gemma-4-26B-A4B  BeaverAI_Orion-26B-A4B-v1b-GGUF                   : ██████████                                          20.1% (W:0.20 D:0.90 E:0.09 N:47.15)  Darkhn_Gemma-4-26B-A4B-Animus-V14.1-FFT           : █████████                                           19.9% (W:0.20 D:0.90 E:0.09 N:46.66)  Gryphe--Gemma-4-26B-A4B-StyleTune-V2              :                                                      0.0% (W:0.00 D:0.90 E:0.09 N:46.66)  Gryphe--Pantheon-Reasoning-26B-A4B-1.1            : ██████████                                          20.1% (W:0.20 D:0.90 E:0.09 N:47.17)  ReadyArt_Serenity-26B-A4B-HB16-Q8_0               : █████████                                           19.9% (W:0.20 D:0.90 E:0.09 N:46.66)  zerofata_G4-MeroMero-26B-A4B                      : █████████                                           19.9% (W:0.20 D:0.90 E:0.09 N:46.66)Executing graph:  21%|█████████████████████████████████████▎                                                                                                                                            | 1392/6635 [04:20<11:58,  7.29it/s]

Merge Details

Merge Method

This model was merged using the MoE DELLA merge method using google/gemma-4-26B-A4B as a base.

Models Merged

The following models were included in the merge:

⚙️ Configuration

yaml

architecture: Gemma4ForConditionalGenerationbase_model: B:\26B\google_gemma-4-26B-A4Bmodels:  - model: B:\26B\BeaverAI_Orion-26B-A4B-v1b-GGUF    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\ReadyArt_Serenity-26B-A4B-HB16-Q8_0    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\zerofata_G4-MeroMero-26B-A4B    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Darkhn_Gemma-4-26B-A4B-Animus-V14.1-FFT    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Gryphe--Pantheon-Reasoning-26B-A4B-1.1    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Gryphe--Gemma-4-26B-A4B-StyleTune-V2    parameters:      weight:        - filter: "lm_head"          value: 1.0        - filter: "embed_tokens"          value: 1.0        - value: 0.0      density: 0.9      epsilon: 0.09merge_method: moe_della # v3 patches missing lm_head and embed_tokensparameters:    lambda: 1.0  normalize: false  int8_mask: false  rescale: true  router_strategy: della # average # random_init  blend_experts: truedtype: float32out_dtype: bfloat16tokenizer:  source: unionchat_template: autoname: Goetia 26B A4B v1.4

architecture: Gemma4ForConditionalGenerationbase_model: B:\26B\google_gemma-4-26B-A4Bmodels:  - model: B:\26B\BeaverAI_Orion-26B-A4B-v1b-GGUF    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\ReadyArt_Serenity-26B-A4B-HB16-Q8_0    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\zerofata_G4-MeroMero-26B-A4B    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Darkhn_Gemma-4-26B-A4B-Animus-V14.1-FFT    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Gryphe--Pantheon-Reasoning-26B-A4B-1.1    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Gryphe--Gemma-4-26B-A4B-StyleTune-V2    parameters:      weight:        - filter: "lm_head"          value: 1.0        - filter: "embed_tokens"          value: 1.0        - value: 0.0      density: 0.9      epsilon: 0.09merge_method: moe_della # v3 patches missing lm_head and embed_tokensparameters:    lambda: 1.0  normalize: false  int8_mask: false  rescale: true  router_strategy: della # average # random_init  blend_experts: truedtype: float32out_dtype: bfloat16tokenizer:  source: unionchat_template: autoname: Goetia 26B A4B v1.4

This model is NOT currently uncensored. There are refusals, and standard jailbreak resistance.

🧙 Heretic Grimoire

reproduce.json

json

{  "version": "1.2.0-dev",  "base_model": "Naphula/Goetia-26B-A4B-v1.3",  "timestamp": "2026-06-19T08:04:47Z",  "metrics": {    "kl_divergence": 0.030937770381569862,    "refusals": 3,    "n_bad_prompts": 100  },  "parameters": {    "start_layer_index": "14",    "end_layer_index": "26",    "preserve_good_behavior_weight": "1.4404",    "steer_bad_behavior_weight": "0.0100",    "overcorrect_relative_weight": "0.9144",    "neighbor_count": "15"  },  "target_components": [    "attn.o_proj"  ],  "hardware": "RTX 6000 Blackwell (96GB)"}

{  "version": "1.2.0-dev",  "base_model": "Naphula/Goetia-26B-A4B-v1.3",  "timestamp": "2026-06-19T08:04:47Z",  "metrics": {    "kl_divergence": 0.030937770381569862,    "refusals": 3,    "n_bad_prompts": 100  },  "parameters": {    "start_layer_index": "14",    "end_layer_index": "26",    "preserve_good_behavior_weight": "1.4404",    "steer_bad_behavior_weight": "0.0100",    "overcorrect_relative_weight": "0.9144",    "neighbor_count": "15"  },  "target_components": [    "attn.o_proj"  ],  "hardware": "RTX 6000 Blackwell (96GB)"}

💡 Details

v1.4 was made the same way as v1.3 except with additional patches and less models. See this page and the section below for more details.

Critical patch notes for G4 26B A4B moe_della merges

auto.py fix

    #if _get_tied_weight_keys is None:    #    LOG.warning(    #        "Unable to get tied weights - incompatible transformers version",    #    )    #    tied_keys = None    #else:    #    tied_keys = _get_tied_weight_keys(model)    ####    # Force untying for Gemma 4 configurations to ensure lm_head is compiled    tied_keys = None    ####    if ignore_on_save is not None:        ignore_on_save = set(ignore_on_save)

    #if _get_tied_weight_keys is None:    #    LOG.warning(    #        "Unable to get tied weights - incompatible transformers version",    #    )    #    tied_keys = None    #else:    #    tied_keys = _get_tied_weight_keys(model)    ####    # Force untying for Gemma 4 configurations to ensure lm_head is compiled    tied_keys = None    ####    if ignore_on_save is not None:        ignore_on_save = set(ignore_on_save)

plan.py fix

#for model, w_in in zip(models, weights_in):            #    index = LoaderCache().get(model).index            #    if any(            #        name in index.tensor_paths            #        for name in [w_in.name] + (w_in.aliases or [])            #    ):            #        any_weight = True            #        break            for model, w_in in zip(models, weights_in):                index = LoaderCache().get(model).index                if any(                    name in index.tensor_paths                    for name in [w_in.name] + list(w_in.aliases or [])                ):                    any_weight = True                    break

#for model, w_in in zip(models, weights_in):            #    index = LoaderCache().get(model).index            #    if any(            #        name in index.tensor_paths            #        for name in [w_in.name] + (w_in.aliases or [])            #    ):            #        any_weight = True            #        break            for model, w_in in zip(models, weights_in):                index = LoaderCache().get(model).index                if any(                    name in index.tensor_paths                    for name in [w_in.name] + list(w_in.aliases or [])                ):                    any_weight = True                    break

gemma4.json

json

{  "model_type": "gemma4",  "architectures": [    "Gemma4ForConditionalGeneration"  ],  "num_layers_config_key": "text_config.num_hidden_layers",  "vocab_size_config_key": "text_config.vocab_size",  "pre_weights": [    { "name": "model.language_model.embed_tokens.weight", "is_embed": true },    { "name": "model.embed_vision.embedding_projection.weight", "optional": true },    { "name": "model.vision_tower.std_bias", "optional": true },    { "name": "model.vision_tower.std_scale", "optional": true },    { "name": "model.vision_tower.patch_embedder.input_proj.weight", "optional": true },    { "name": "model.vision_tower.patch_embedder.position_embedding_table", "optional": true }  ],  "layer_templates": {    "weights": [      { "name": "model.language_model.layers.${layer_index}.self_attn.q_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.k_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.v_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.o_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.q_norm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.k_norm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.mlp.gate_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.mlp.up_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.mlp.down_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.input_layernorm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.post_attention_layernorm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.pre_feedforward_layernorm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.post_feedforward_layernorm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.post_feedforward_layernorm_1.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.post_feedforward_layernorm_2.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.pre_feedforward_layernorm_2.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.router.per_expert_scale", "optional": true },      { "name": "model.language_model.layers.${layer_index}.router.proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.router.scale", "optional": true },      { "name": "model.language_model.layers.${layer_index}.experts.gate_up_proj", "optional": true },      { "name": "model.language_model.layers.${layer_index}.experts.down_proj", "optional": true },      { "name": "model.language_model.layers.${layer_index}.layer_scalar", "optional": true }    ]  },  "post_weights": [    { "name": "model.language_model.norm.weight" },    {       "name": "lm_head.weight",       "is_embed": true,       "optional": true,      "aliases": ["model.language_model.embed_tokens.weight"]    }  ]}

{  "model_type": "gemma4",  "architectures": [    "Gemma4ForConditionalGeneration"  ],  "num_layers_config_key": "text_config.num_hidden_layers",  "vocab_size_config_key": "text_config.vocab_size",  "pre_weights": [    { "name": "model.language_model.embed_tokens.weight", "is_embed": true },    { "name": "model.embed_vision.embedding_projection.weight", "optional": true },    { "name": "model.vision_tower.std_bias", "optional": true },    { "name": "model.vision_tower.std_scale", "optional": true },    { "name": "model.vision_tower.patch_embedder.input_proj.weight", "optional": true },    { "name": "model.vision_tower.patch_embedder.position_embedding_table", "optional": true }  ],  "layer_templates": {    "weights": [      { "name": "model.language_model.layers.${layer_index}.self_attn.q_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.k_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.v_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.o_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.q_norm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.self_attn.k_norm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.mlp.gate_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.mlp.up_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.mlp.down_proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.input_layernorm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.post_attention_layernorm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.pre_feedforward_layernorm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.post_feedforward_layernorm.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.post_feedforward_layernorm_1.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.post_feedforward_layernorm_2.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.pre_feedforward_layernorm_2.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.router.per_expert_scale", "optional": true },      { "name": "model.language_model.layers.${layer_index}.router.proj.weight", "optional": true },      { "name": "model.language_model.layers.${layer_index}.router.scale", "optional": true },      { "name": "model.language_model.layers.${layer_index}.experts.gate_up_proj", "optional": true },      { "name": "model.language_model.layers.${layer_index}.experts.down_proj", "optional": true },      { "name": "model.language_model.layers.${layer_index}.layer_scalar", "optional": true }    ]  },  "post_weights": [    { "name": "model.language_model.norm.weight" },    {       "name": "lm_head.weight",       "is_embed": true,       "optional": true,      "aliases": ["model.language_model.embed_tokens.weight"]    }  ]}

yaml

architecture: Gemma4ForConditionalGenerationbase_model: B:\26B\google_gemma-4-26B-A4Bmodels:  - model: B:\26B\BeaverAI_Orion-26B-A4B-v1b-GGUF    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\ReadyArt_Serenity-26B-A4B-HB16-Q8_0    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\zerofata_G4-MeroMero-26B-A4B    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Darkhn_Gemma-4-26B-A4B-Animus-V14.1-FFT    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Gryphe--Pantheon-Reasoning-26B-A4B-1.1    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Gryphe--Gemma-4-26B-A4B-StyleTune-V2    parameters:      weight:        - filter: "lm_head"          value: 1.0        - filter: "embed_tokens"          value: 1.0        - value: 0.0      density: 0.9      epsilon: 0.09merge_method: moe_della # v3 patches missing lm_head and embed_tokensparameters:    lambda: 1.0  normalize: false  int8_mask: false  rescale: true  router_strategy: della # average # random_init  blend_experts: truedtype: float32out_dtype: bfloat16tokenizer:  source: unionchat_template: autoname: Goetia 26B A4B v1.4

architecture: Gemma4ForConditionalGenerationbase_model: B:\26B\google_gemma-4-26B-A4Bmodels:  - model: B:\26B\BeaverAI_Orion-26B-A4B-v1b-GGUF    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\ReadyArt_Serenity-26B-A4B-HB16-Q8_0    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\zerofata_G4-MeroMero-26B-A4B    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Darkhn_Gemma-4-26B-A4B-Animus-V14.1-FFT    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Gryphe--Pantheon-Reasoning-26B-A4B-1.1    parameters:      weight:        - filter: "lm_head"          value: 0.0        - filter: "embed_tokens"          value: 0.0        - value: 0.2      density: 0.9      epsilon: 0.09  - model: B:\26B\Gryphe--Gemma-4-26B-A4B-StyleTune-V2    parameters:      weight:        - filter: "lm_head"          value: 1.0        - filter: "embed_tokens"          value: 1.0        - value: 0.0      density: 0.9      epsilon: 0.09merge_method: moe_della # v3 patches missing lm_head and embed_tokensparameters:    lambda: 1.0  normalize: false  int8_mask: false  rescale: true  router_strategy: della # average # random_init  blend_experts: truedtype: float32out_dtype: bfloat16tokenizer:  source: unionchat_template: autoname: Goetia 26B A4B v1.4

With the above patches applied, it now appears to be merging correctly. We'll see if it generates the full sized 49.4GB safetensors instead of 47GB

bat

[MoE_DELLA Audit] Layer: lm_head.weight | Lambda=1.00  [BASE] google_gemma-4-26B-A4B  Darkhn_Gemma-4-26B-A4B-Animus-V14.1-FFT           :                                                      0.0% (W:0.00 D:0.90 E:0.09 N:68.94)  Gryphe--Gemma-4-26B-A4B-StyleTune-V2              : ██████████████████████████████████████████████████ 100.0% (W:1.00 D:0.90 E:0.09 N:68.94)  Gryphe--Pantheon-Reasoning-26B-A4B-1.1            :                                                      0.0% (W:0.00 D:0.90 E:0.09 N:68.79)  zerofata_G4-MeroMero-26B-A4B                      :                                                      0.0% (W:0.00 D:0.90 E:0.09 N:68.94)Executing graph:  20%|███████████████████████████████████▊                                                                                                                                            | 1352/6635 [03:53<2:01:35,  1.38s/it]WARNING:mergekit.graph:Fast path OOM, falling back to chunkingWARNING:mergekit.graph:OOM at chunk 64, reducing to 32 (attempt 1, progress: 0/128)WARNING:mergekit.graph:OOM at chunk 32, reducing to 16 (attempt 2, progress: 0/128)Executing graph:  20%|████████████████████████████████████                                                                                                                                            | 1360/6635 [04:04<1:03:57,  1.37it/s]WARNING:mergekit.graph:Fast path OOM, falling back to chunkingWARNING:mergekit.graph:OOM at chunk 64, reducing to 32 (attempt 1, progress: 0/128)WARNING:mergekit.graph:OOM at chunk 32, reducing to 16 (attempt 2, progress: 0/128)Executing graph:  21%|█████████████████████████████████████▏                                                                                                                                            | 1384/6635 [04:19<13:57,  6.27it/s][MoE_DELLA Audit] Layer: model.language_model.layers.0.mlp.down_proj.weight | Lambda=1.00  [BASE] google_gemma-4-26B-A4B  BeaverAI_Orion-26B-A4B-v1b-GGUF                   : ██████████                                          20.1% (W:0.20 D:0.90 E:0.09 N:47.15)  Darkhn_Gemma-4-26B-A4B-Animus-V14.1-FFT           : █████████                                           19.9% (W:0.20 D:0.90 E:0.09 N:46.66)  Gryphe--Gemma-4-26B-A4B-StyleTune-V2              :                                                      0.0% (W:0.00 D:0.90 E:0.09 N:46.66)  Gryphe--Pantheon-Reasoning-26B-A4B-1.1            : ██████████                                          20.1% (W:0.20 D:0.90 E:0.09 N:47.17)  ReadyArt_Serenity-26B-A4B-HB16-Q8_0               : █████████                                           19.9% (W:0.20 D:0.90 E:0.09 N:46.66)  zerofata_G4-MeroMero-26B-A4B                      : █████████                                           19.9% (W:0.20 D:0.90 E:0.09 N:46.66)Executing graph:  21%|█████████████████████████████████████▎                                                                                                                                            | 1392/6635 [04:20<11:58,  7.29it/s]

[MoE_DELLA Audit] Layer: lm_head.weight | Lambda=1.00  [BASE] google_gemma-4-26B-A4B  Darkhn_Gemma-4-26B-A4B-Animus-V14.1-FFT           :                                                      0.0% (W:0.00 D:0.90 E:0.09 N:68.94)  Gryphe--Gemma-4-26B-A4B-StyleTune-V2              : ██████████████████████████████████████████████████ 100.0% (W:1.00 D:0.90 E:0.09 N:68.94)  Gryphe--Pantheon-Reasoning-26B-A4B-1.1            :                                                      0.0% (W:0.00 D:0.90 E:0.09 N:68.79)  zerofata_G4-MeroMero-26B-A4B                      :                                                      0.0% (W:0.00 D:0.90 E:0.09 N:68.94)Executing graph:  20%|███████████████████████████████████▊                                                                                                                                            | 1352/6635 [03:53<2:01:35,  1.38s/it]WARNING:mergekit.graph:Fast path OOM, falling back to chunkingWARNING:mergekit.graph:OOM at chunk 64, reducing to 32 (attempt 1, progress: 0/128)WARNING:mergekit.graph:OOM at chunk 32, reducing to 16 (attempt 2, progress: 0/128)Executing graph:  20%|████████████████████████████████████                                                                                                                                            | 1360/6635 [04:04<1:03:57,  1.37it/s]WARNING:mergekit.graph:Fast path OOM, falling back to chunkingWARNING:mergekit.graph:OOM at chunk 64, reducing to 32 (attempt 1, progress: 0/128)WARNING:mergekit.graph:OOM at chunk 32, reducing to 16 (attempt 2, progress: 0/128)Executing graph:  21%|█████████████████████████████████████▏                                                                                                                                            | 1384/6635 [04:19<13:57,  6.27it/s][MoE_DELLA Audit] Layer: model.language_model.layers.0.mlp.down_proj.weight | Lambda=1.00  [BASE] google_gemma-4-26B-A4B  BeaverAI_Orion-26B-A4B-v1b-GGUF                   : ██████████                                          20.1% (W:0.20 D:0.90 E:0.09 N:47.15)  Darkhn_Gemma-4-26B-A4B-Animus-V14.1-FFT           : █████████                                           19.9% (W:0.20 D:0.90 E:0.09 N:46.66)  Gryphe--Gemma-4-26B-A4B-StyleTune-V2              :                                                      0.0% (W:0.00 D:0.90 E:0.09 N:46.66)  Gryphe--Pantheon-Reasoning-26B-A4B-1.1            : ██████████                                          20.1% (W:0.20 D:0.90 E:0.09 N:47.17)  ReadyArt_Serenity-26B-A4B-HB16-Q8_0               : █████████                                           19.9% (W:0.20 D:0.90 E:0.09 N:46.66)  zerofata_G4-MeroMero-26B-A4B                      : █████████                                           19.9% (W:0.20 D:0.90 E:0.09 N:46.66)Executing graph:  21%|█████████████████████████████████████▎                                                                                                                                            | 1392/6635 [04:20<11:58,  7.29it/s]

Goetia-26B-A4B-v1.4-SOMPOA-heresy

README

Merge Details

Merge Method

Models Merged

⚙️ Configuration

This model is NOT currently uncensored. There are refusals, and standard jailbreak resistance.

🧙 Heretic Grimoire

💡 Details

Critical patch notes for G4 26B A4B moe_della merges

Explore FriendliAI today

README

Merge Details

Merge Method

Models Merged

⚙️ Configuration

This model is NOT currently uncensored. There are refusals, and standard jailbreak resistance.

🧙 Heretic Grimoire

💡 Details

Critical patch notes for G4 26B A4B moe_della merges