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- README.md +61 -1
- config.json +40 -0
- measurement.json +0 -0
- mergekit_config.yml +33 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00012.safetensors +3 -0
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- output-00012-of-00012.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +46 -0
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---
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---
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---
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base_model: []
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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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# ung-merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
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### Models Merged
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The following models were included in the merge:
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* Miqu-PlayMaid-70B-v0.1
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* Senku-70B-Full
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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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: Miqu-PlayMaid-70B-v0.1
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layer_range: [0, 17]
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- sources:
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- model: Senku-70B-Full
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layer_range: [10, 24]
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- sources:
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- model: Miqu-PlayMaid-70B-v0.1
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layer_range: [17, 32]
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- sources:
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- model: Senku-70B-Full
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layer_range: [24, 40]
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- sources:
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- model: Miqu-PlayMaid-70B-v0.1
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layer_range: [32, 48]
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- sources:
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- model: Senku-70B-Full
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layer_range: [40, 56]
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- sources:
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- model: Miqu-PlayMaid-70B-v0.1
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layer_range: [49, 63]
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- sources:
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- model: Senku-70B-Full
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layer_range: [56, 70]
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- sources:
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- model: Miqu-PlayMaid-70B-v0.1
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layer_range: [64, 80]
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dtype: float16
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tokenizer_source: model:Miqu-PlayMaid-70B-v0.1
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```
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{
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"_name_or_path": "Miqu-PlayMaid-70B-v0.1",
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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": 138,
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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": "4.40.0.dev0",
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"use_cache": false,
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"vocab_size": 32000,
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"quantization_config": {
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"quant_method": "exl2",
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"version": "0.0.18",
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"bits": 6.4,
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"head_bits": 6,
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"calibration": {
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"rows": 100,
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"length": 2048,
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"dataset": "(default)"
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}
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}
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}
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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: Miqu-PlayMaid-70B-v0.1
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layer_range: [0, 17]
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- sources:
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- model: Senku-70B-Full
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layer_range: [10, 24]
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- sources:
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- model: Miqu-PlayMaid-70B-v0.1
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layer_range: [17, 32]
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- sources:
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- model: Senku-70B-Full
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layer_range: [24, 40]
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- sources:
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- model: Miqu-PlayMaid-70B-v0.1
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layer_range: [32, 48]
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- sources:
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- model: Senku-70B-Full
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layer_range: [40, 56]
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- sources:
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- model: Miqu-PlayMaid-70B-v0.1
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layer_range: [49, 63]
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- sources:
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- model: Senku-70B-Full
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layer_range: [56, 70]
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- sources:
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- model: Miqu-PlayMaid-70B-v0.1
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layer_range: [64, 80]
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dtype: float16
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tokenizer_source: model:Miqu-PlayMaid-70B-v0.1
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