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Browse files- README.md +40 -0
- config.json +38 -0
- mergekit_config.yml +9 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.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 +44 -0
README.md
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---
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base_model:
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- PAIXAI/Astrid-7B-LLama-Med
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- cxllin/Llama2-7b-Finance
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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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# procrustes_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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* [PAIXAI/Astrid-7B-LLama-Med](https://huggingface.co/PAIXAI/Astrid-7B-LLama-Med)
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* [cxllin/Llama2-7b-Finance](https://huggingface.co/cxllin/Llama2-7b-Finance)
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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: PAIXAI/Astrid-7B-LLama-Med
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parameters:
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weight: 0.5
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- model: cxllin/Llama2-7b-Finance
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parameters:
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weight: 0.5
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merge_method: linear
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dtype: float16
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```
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config.json
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{
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"_name_or_path": "PAIXAI/Astrid-7B-LLama-Med",
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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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"attention_probs_dropout_prob": 0.0,
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"bos_token_id": 1,
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"custom_pipelines": {
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"text-generation": {
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"impl": "PAIXAI/Astrid-7B-LLama-Med--h2oai_pipeline.H2OTextGenerationPipeline",
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"pt": "AutoModelForCausalLM"
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}
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},
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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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": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.42.4",
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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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models:
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- model: PAIXAI/Astrid-7B-LLama-Med
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parameters:
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weight: 0.5
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- model: cxllin/Llama2-7b-Finance
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parameters:
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weight: 0.5
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merge_method: linear
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dtype: float16
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model-00001-of-00006.safetensors
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