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README.md

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+---
+base_model:
+- 152334H/miqu-1-70b-sf
+- NeverSleep/MiquMaid-v1-70B
+- Sao10K/WinterGoddess-1.4x-70B-L2
+library_name: transformers
+tags:
+- mergekit
+- merge
+---
+# aranea-ancilla-116b-v1.0
+**aka MiquMaid-v1-70B + interleaved WinterGoddess-1.4x-70B-L2**
+
+![image/png](https://huggingface.co/divinetaco/aranea-ancilla-116b-v1.0-6.4bpw-exl2/resolve/main/aranea-ancilla.png)
+
+A [mergekit](https://github.com/arcee-ai/mergekit) frankenmerge based on [NeverSleep/MiquMaid-v1-70B](https://huggingface.co/NeverSleep/MiquMaid-v1-70B) with interleaved layers of [Sao10K/WinterGoddess-1.4x-70B-L2](https://huggingface.co/Sao10K/WinterGoddess-1.4x-70B-L2).  
+This was the top performing model from a series of merge experiments to create a highly coherant creative writing model. 
+
+Tests consisted of a series of private benchmarks and manual comparisons. A number of different base models, interleave models and layer offsets were compared.
+
+- Usable context ~32768
+- Recommended context ~16384
+
+Non frankenstein miqu-1 finetunes generally outperform their frankenstein counterparts at very long contexts due to coherency loss.  
+As a rough suggestion I might suggest swapping out to either [NeverSleep/MiquMaid-v1-70B](https://huggingface.co/NeverSleep/MiquMaid-v1-70B) or [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf) after 16k context.
+
+Layers: 136
+
+### License
+
+No license. Component models based on the [Mistral AI Miqu-1](https://huggingface.co/miqudev/miqu-1-70b/tree/main) llama2 finetune that was released without license.
+
+### Interesting observations from benchmarking
+
+- 10 layer interleave stride with a 20 layer interleave width consistently outperformed alternatives combinations.
+- Offsetting the interleaved model's first set of layers generally improved coherency. [14-30] reliably beat the [10-30] mergekit slice configuration for various combinations of models.
+- Quality of resulting merges can vary wildly. Whilst a merge of two strong models tends to produce a strong frankenstein model, this rule does not always hold true.
+
+### Quantizations
+
+Exllamav2 quants will be available when bandwidth permits.

config.json

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+{
+  "_name_or_path": "MiquMaid-v1-70B",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 32764,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 136,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.2",
+  "use_cache": false,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+merge_method: linear
+parameters:
+  weight: 1.0
+slices:
+  - sources:
+      - model: MiquMaid-v1-70B
+        layer_range: [0, 20]
+  - sources:
+      - model: WinterGoddess-1.4x-70B-L2
+        layer_range: [14, 30]
+  - sources:
+      - model: MiquMaid-v1-70B
+        layer_range: [20, 40]
+  - sources:
+      - model: WinterGoddess-1.4x-70B-L2
+        layer_range: [30, 50]
+  - sources:
+      - model: MiquMaid-v1-70B
+        layer_range: [40, 60]
+  - sources:
+      - model: WinterGoddess-1.4x-70B-L2
+        layer_range: [50, 70]
+  - sources:
+      - model: MiquMaid-v1-70B
+        layer_range: [60, 80]
+dtype: float16
+tokenizer_source: model:MiquMaid-v1-70B

model.safetensors.index.json

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