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- README.md +51 -0
- cal_data.safetensors +3 -0
- config.json +26 -0
- hidden_states.safetensors +3 -0
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- measurement.json +0 -0
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README.md
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---
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base_model:
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- alpindale/Mistral-7B-v0.2-hf
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- mistralai/Mistral-7B-Instruct-v0.2
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- KoboldAI/Mistral-7B-Holodeck-1
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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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# Mistral-7B-Holodeck-1-Instruct-32k
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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 script copied from this [ichigoberry/pandafish-2-7b-32k](https://huggingface.co/ichigoberry/pandafish-2-7b-32k).
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## Merge Details
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### Merge Method
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) 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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* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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* [KoboldAI/Mistral-7B-Holodeck-1](https://huggingface.co/KoboldAI/Mistral-7B-Holodeck-1)
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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: alpindale/Mistral-7B-v0.2-hf
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# No parameters necessary for base model
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- model: mistralai/Mistral-7B-Instruct-v0.2
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parameters:
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density: 0.53
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weight: 0.4
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- model: KoboldAI/Mistral-7B-Holodeck-1
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parameters:
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density: 0.53
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weight: 0.4
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merge_method: dare_ties
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base_model: alpindale/Mistral-7B-v0.2-hf
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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cal_data.safetensors
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size 1884248
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config.json
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{
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"_name_or_path": "alpindale/Mistral-7B-v0.2-hf",
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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": 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": "4.38.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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job_new.json
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measurement.json
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