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Browse files- README.md +40 -0
- config.json +30 -0
- mergekit_config.yml +8 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +41 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
README.md
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---
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base_model:
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- tiiuae/Falcon3-7B-Instruct
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- hotmailuser/FalconSlerp2-7B
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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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# 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 SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [tiiuae/Falcon3-7B-Instruct](https://huggingface.co/tiiuae/Falcon3-7B-Instruct)
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* [hotmailuser/FalconSlerp2-7B](https://huggingface.co/hotmailuser/FalconSlerp2-7B)
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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: tiiuae/Falcon3-7B-Instruct
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- model: hotmailuser/FalconSlerp2-7B
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merge_method: slerp
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base_model: tiiuae/Falcon3-7B-Instruct
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dtype: bfloat16
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parameters:
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t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
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```
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config.json
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{
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"_name_or_path": "tiiuae/Falcon3-7B-Instruct",
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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": 11,
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"eos_token_id": 11,
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"head_dim": 256,
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"hidden_act": "silu",
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 23040,
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"max_position_embeddings": 32768,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000042,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.2",
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"use_cache": true,
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"vocab_size": 131072
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}
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mergekit_config.yml
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models:
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- model: tiiuae/Falcon3-7B-Instruct
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- model: hotmailuser/FalconSlerp2-7B
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merge_method: slerp
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base_model: tiiuae/Falcon3-7B-Instruct
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dtype: bfloat16
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parameters:
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t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
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model-00001-of-00004.safetensors
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model.safetensors.index.json
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special_tokens_map.json
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{
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"additional_special_tokens": [
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">>TITLE<<",
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">>ABSTRACT<<",
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">>INTRODUCTION<<",
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">>SUMMARY<<",
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">>COMMENT<<",
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">>ANSWER<<",
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">>QUESTION<<",
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">>DOMAIN<<",
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">>EMAIL_ADDRESS<<",
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">>IP_ADDRESS<<",
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"<|startoftext|>",
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">>IP_ADDRESS_0<<",
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">>IP_ADDRESS_1<<",
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">>IP_ADDRESS_2<<",
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">>IP_ADDRESS_3<<",
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">>IP_ADDRESS_4<<",
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">>IP_ADDRESS_5<<",
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">>IP_ADDRESS_6<<",
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">>IP_ADDRESS_7<<",
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">>IP_ADDRESS_8<<",
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">>IP_ADDRESS_9<<",
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">>PASSWORD<<",
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">>KEY<<"
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],
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|pad|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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