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#1
by
divinetaco
- opened
- README.md +41 -0
- config.json +29 -0
- mergekit_config.yml +27 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00012.safetensors +3 -0
- output-00002-of-00012.safetensors +3 -0
- output-00003-of-00012.safetensors +3 -0
- output-00004-of-00012.safetensors +3 -0
- output-00005-of-00012.safetensors +3 -0
- output-00006-of-00012.safetensors +3 -0
- output-00007-of-00012.safetensors +3 -0
- output-00008-of-00012.safetensors +3 -0
- output-00009-of-00012.safetensors +3 -0
- output-00010-of-00012.safetensors +3 -0
- output-00011-of-00012.safetensors +3 -0
- output-00012-of-00012.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
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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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![image/png](https://huggingface.co/divinetaco/aranea-ancilla-116b-v1.0-6.4bpw-exl2/resolve/main/aranea-ancilla.png)
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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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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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- Usable context ~32768
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- Recommended context ~16384
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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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Layers: 136
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### License
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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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### Interesting observations from benchmarking
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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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### Quantizations
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Exllamav2 quants will be available when bandwidth permits.
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config.json
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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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}
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mergekit_config.yml
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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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model.safetensors.index.json
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