FiditeNemini
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- .DS_Store +0 -0
- README.md +54 -0
- config.json +28 -0
- model-00001-of-00050.safetensors +3 -0
- model-00002-of-00050.safetensors +3 -0
- model-00003-of-00050.safetensors +3 -0
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.DS_Store
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README.md
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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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![llama3 fiditenemini logo](llama3-fiditenemini-logo.png)
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# Unhinged-Llama3-120B
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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 passthrough merge method.
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### Models Merged
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The following models were included in the merge:
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* FiditeNemini/Llama3-FiditeNemini-70B-Source
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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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dtype: bfloat16
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merge_method: passthrough
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slices:
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- sources:
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- layer_range: [0, 20]
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model: FiditeNemini/Llama3-FiditeNemini-70B-Source
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- sources:
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- layer_range: [10, 30]
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model: FiditeNemini/Llama3-FiditeNemini-70B-Source
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- sources:
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- layer_range: [20, 40]
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model: FiditeNemini/Llama3-FiditeNemini-70B-Source
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- sources:
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- layer_range: [30, 50]
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model: FiditeNemini/Llama3-FiditeNemini-70B-Source
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- sources:
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- layer_range: [40, 60]
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model: FiditeNemini/Llama3-FiditeNemini-70B-Source
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- sources:
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- layer_range: [50, 70]
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model: FiditeNemini/Llama3-FiditeNemini-70B-Source
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- sources:
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- layer_range: [60, 80]
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model: FiditeNemini/Llama3-FiditeNemini-70B-Source
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```
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config.json
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{
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"_name_or_path": "/Users/willdee/Documents/Projects/llama.cpp/models/Llama3-FiditeNemini-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": 128000,
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"eos_token_id": 128001,
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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": 8192,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 140,
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"num_key_value_heads": 8,
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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": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.2",
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"use_cache": true,
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"vocab_size": 128256
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}
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