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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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# lumikabra_behemoth_195B_v2
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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 della_linear merge method using /workspace/models/schnapper79_lumikabra-195B_v0.3 as a base.
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### Models Merged
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The following models were included in the merge:
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* /workspace/merges/lumikabra_behemoth_195b
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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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models:
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- model: /workspace/merges/lumikabra_behemoth_195b
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parameters:
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weight: 0.5
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density: 0.8
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merge_method: della_linear
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base_model: /workspace/models/schnapper79_lumikabra-195B_v0.3
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parameters:
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epsilon: 0.05
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lambda: 1
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int8_mask: true
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dtype: bfloat16
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```
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{
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"_name_or_path": "/workspace/models/schnapper79_lumikabra-195B_v0.3",
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"architectures": [
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"MistralForCausalLM"
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],
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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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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 12288,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 131072,
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"model_type": "mistral",
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"num_attention_heads": 96,
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"num_hidden_layers": 140,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.2",
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"use_cache": true,
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"vocab_size": 32768,
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"quantization_config": {
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"quant_method": "exl2",
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"version": "0.2.3",
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"bits": 6.0,
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"head_bits": 6,
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"calibration": {
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"rows": 115,
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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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models:
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- model: /workspace/merges/lumikabra_behemoth_195b
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parameters:
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weight: 0.5
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density: 0.8
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merge_method: della_linear
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base_model: /workspace/models/schnapper79_lumikabra-195B_v0.3
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parameters:
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epsilon: 0.05
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lambda: 1
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int8_mask: true
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dtype: bfloat16
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