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README.md ADDED
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+ ---
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+ base_model:
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+ - 152334H/miqu-1-70b-sf
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+ - NeverSleep/MiquMaid-v1-70B
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+ - Sao10K/WinterGoddess-1.4x-70B-L2
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+ ---
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+ # aranea-ancilla-116b-v1.0
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+ **aka MiquMaid-v1-70B + interleaved WinterGoddess-1.4x-70B-L2**
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+
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+ ![image/png](https://huggingface.co/divinetaco/aranea-ancilla-116b-v1.0-6.4bpw-exl2/resolve/main/aranea-ancilla.png)
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+
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+ 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).
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+ This was the top performing model from a series of merge experiments to create a highly coherant creative writing model.
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+
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+ Tests consisted of a series of private benchmarks and manual comparisons. A number of different base models, interleave models and layer offsets were compared.
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+
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+ - Usable context ~32768
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+ - Recommended context ~16384
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+
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+ Non frankenstein miqu-1 finetunes generally outperform their frankenstein counterparts at very long contexts due to coherency loss.
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+ 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.
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+
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+ Layers: 136
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+
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+ ### License
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+
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+ 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.
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+
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+ ### Interesting observations from benchmarking
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+
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+ - 10 layer interleave stride with a 20 layer interleave width consistently outperformed alternatives combinations.
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+ - 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.
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+ - 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.
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+
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+ ### Quantizations
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+
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+ Exllamav2 quants will be available when bandwidth permits.
config.json ADDED
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+ {
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+ "_name_or_path": "MiquMaid-v1-70B",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 8192,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 28672,
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+ "max_position_embeddings": 32764,
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+ "model_type": "llama",
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+ "num_attention_heads": 64,
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+ "num_hidden_layers": 136,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 0,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.37.2",
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+ "use_cache": false,
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+ "vocab_size": 32000
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+ }
mergekit_config.yml ADDED
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+ merge_method: linear
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+ parameters:
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+ weight: 1.0
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+ slices:
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+ - sources:
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+ - model: MiquMaid-v1-70B
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+ layer_range: [0, 20]
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+ - sources:
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+ - model: WinterGoddess-1.4x-70B-L2
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+ layer_range: [14, 30]
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+ - sources:
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+ - model: MiquMaid-v1-70B
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+ layer_range: [20, 40]
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+ - sources:
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+ - model: WinterGoddess-1.4x-70B-L2
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+ layer_range: [30, 50]
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+ - sources:
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+ - model: MiquMaid-v1-70B
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+ layer_range: [40, 60]
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+ - sources:
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+ - model: WinterGoddess-1.4x-70B-L2
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+ layer_range: [50, 70]
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+ - sources:
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+ - model: MiquMaid-v1-70B
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+ layer_range: [60, 80]
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+ dtype: float16
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+ tokenizer_source: model:MiquMaid-v1-70B
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