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Browse files- README.md +53 -0
- config.json +26 -0
- mergekit_config.yml +22 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +1 -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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- yam-peleg/Experiment26-7B
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- Gille/StrangeMerges_32-7B-slerp
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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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# merged
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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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* [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
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* [Gille/StrangeMerges_32-7B-slerp](https://huggingface.co/Gille/StrangeMerges_32-7B-slerp)
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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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base_model:
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model:
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path: yam-peleg/Experiment26-7B
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dtype: float16
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merge_method: slerp
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parameters:
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t:
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- filter: self_attn
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value: [0.0, 0.5, 0.3, 0.7, 1.0]
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- filter: mlp
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value: [1.0, 0.5, 0.7, 0.3, 0.0]
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- value: 0.5
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slices:
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- sources:
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- layer_range: [0, 32]
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model:
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model:
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path: Gille/StrangeMerges_32-7B-slerp
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- layer_range: [0, 32]
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model:
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model:
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path: yam-peleg/Experiment26-7B
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```
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config.json
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{
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"_name_or_path": "yam-peleg/Experiment26-7B",
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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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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.38.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_config.yml
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base_model:
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model:
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path: yam-peleg/Experiment26-7B
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dtype: float16
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merge_method: slerp
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parameters:
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t:
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- filter: self_attn
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value: [0.0, 0.5, 0.3, 0.7, 1.0]
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- filter: mlp
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value: [1.0, 0.5, 0.7, 0.3, 0.0]
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- value: 0.5
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slices:
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- sources:
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- layer_range: [0, 32]
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model:
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model:
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path: Gille/StrangeMerges_32-7B-slerp
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- layer_range: [0, 32]
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model:
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model:
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path: yam-peleg/Experiment26-7B
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:84de5a346a030230f2670f62f3d2b5d59b6f980b8361477aaf1f7879c5a5e747
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size 9942981496
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e04d7a76994c51d59a662cdeed5f91e172a45c7949938a31f7b43784c147c522
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size 4540516256
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model.safetensors.index.json
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special_tokens_map.json
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tokenizer.json
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tokenizer.model
ADDED
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tokenizer_config.json
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