mashleburneded
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- .gitattributes +1 -0
- README.md +56 -0
- config.json +27 -0
- mergekit_config.yml +18 -0
- model-00001-of-00073.safetensors +3 -0
- model-00002-of-00073.safetensors +3 -0
- model-00003-of-00073.safetensors +3 -0
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- model-00011-of-00073.safetensors +3 -0
- model-00012-of-00073.safetensors +3 -0
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.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model:
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- mistralai/Mistral-Nemo-Base-2407
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- mistralai/Mistral-Large-Instruct-2407
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- mistralai/Codestral-22B-v0.1
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- mistralai/Mathstral-7B-v0.1
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- nvidia/Mistral-NeMo-Minitron-8B-Instruct
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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 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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* [mistralai/Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407)
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* [mistralai/Mistral-Large-Instruct-2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407)
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* [mistralai/Codestral-22B-v0.1](https://huggingface.co/mistralai/Codestral-22B-v0.1)
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* [mistralai/Mathstral-7B-v0.1](https://huggingface.co/mistralai/Mathstral-7B-v0.1)
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* [nvidia/Mistral-NeMo-Minitron-8B-Instruct](https://huggingface.co/nvidia/Mistral-NeMo-Minitron-8B-Instruct)
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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: float16
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merge_method: passthrough
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slices:
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- sources:
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- layer_range: [16, 32]
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model: mistralai/Mistral-Large-Instruct-2407
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- sources:
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- layer_range: [20, 32]
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model: nvidia/Mistral-NeMo-Minitron-8B-Instruct
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- sources:
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- layer_range: [24, 32]
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model: mistralai/Mistral-Nemo-Base-2407
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- sources:
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- layer_range: [28, 32]
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model: mistralai/Codestral-22B-v0.1
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- sources:
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- layer_range: [32, 32]
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model: mistralai/Mathstral-7B-v0.1
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```
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config.json
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{
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"_name_or_path": "mistralai/Mistral-Nemo-Base-2407",
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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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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 40,
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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": "float16",
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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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dtype: float16
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merge_method: passthrough
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slices:
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- sources:
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- layer_range: [16, 32]
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model: mistralai/Mistral-Large-Instruct-2407
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- sources:
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- layer_range: [20, 32]
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model: nvidia/Mistral-NeMo-Minitron-8B-Instruct
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- sources:
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- layer_range: [24, 32]
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model: mistralai/Mistral-Nemo-Base-2407
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- sources:
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- layer_range: [28, 32]
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model: mistralai/Codestral-22B-v0.1
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- sources:
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- layer_range: [32, 32]
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model: mistralai/Mathstral-7B-v0.1
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model-00001-of-00073.safetensors
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