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README.md CHANGED
@@ -1,37 +1,33 @@
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  ---
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- license: apache-2.0
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  tags:
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  - merge
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  - mergekit
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  - lazymergekit
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- - OpenPipe/mistral-ft-optimized-1227
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- - cgato/Thespis-Mistral-7b-v0.6
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  base_model:
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- - OpenPipe/mistral-ft-optimized-1227
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- - cgato/Thespis-Mistral-7b-v0.6
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- metrics:
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- - accuracy
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  ---
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  # RosMistral-2x7B
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- > If you like redheads, ask for Ros.
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-
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  RosMistral-2x7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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- * [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co/OpenPipe/mistral-ft-optimized-1227)
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- * [cgato/Thespis-Mistral-7b-v0.6](https://huggingface.co/cgato/Thespis-Mistral-7b-v0.6)
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  ## 🧩 Configuration
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- ```yaml
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- slices:
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  - sources:
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- - model: OpenPipe/mistral-ft-optimized-1227
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  layer_range: [0, 32]
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- - model: cgato/Thespis-Mistral-7b-v0.6
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  layer_range: [0, 32]
 
 
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  merge_method: slerp
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- base_model: OpenPipe/mistral-ft-optimized-1227
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  parameters:
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  t:
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  - filter: self_attn
@@ -39,8 +35,7 @@ parameters:
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  - filter: mlp
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  value: [1, 0.5, 0.7, 0.3, 0]
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  - value: 0.5
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- dtype: bfloat16
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- ```
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  ## 💻 Usage
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  ---
 
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  tags:
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  - merge
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  - mergekit
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  - lazymergekit
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+ - uproai/RosMistral-2x7B
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+ - NeverSleep/Noromaid-7b-v0.2
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  base_model:
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+ - uproai/RosMistral-2x7B
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+ - NeverSleep/Noromaid-7b-v0.2
 
 
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  ---
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  # RosMistral-2x7B
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  RosMistral-2x7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [uproai/RosMistral-2x7B](https://huggingface.co/uproai/RosMistral-2x7B)
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+ * [NeverSleep/Noromaid-7b-v0.2](https://huggingface.co/NeverSleep/Noromaid-7b-v0.2)
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  ## 🧩 Configuration
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+ ```yamlslices:
 
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  - sources:
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+ - model: uproai/RosMistral-2x7B
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  layer_range: [0, 32]
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+ - model: NeverSleep/Noromaid-7b-v0.2
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  layer_range: [0, 32]
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+ # - model: saishf/West-Hermes-7B
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+ # layer_range: [0, 32]
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  merge_method: slerp
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+ base_model: uproai/RosMistral-2x7B
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  parameters:
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  t:
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  - filter: self_attn
 
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  - filter: mlp
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  value: [1, 0.5, 0.7, 0.3, 0]
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  - value: 0.5
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+ dtype: bfloat16```
 
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  ## 💻 Usage
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config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "OpenPipe/mistral-ft-optimized-1227",
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  "architectures": [
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  "MistralForCausalLM"
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  ],
@@ -20,7 +20,7 @@
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  "sliding_window": 4096,
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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- "transformers_version": "4.37.2",
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  "use_cache": true,
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  "vocab_size": 32000
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  }
 
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+ "_name_or_path": "uproai/RosMistral-2x7B",
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  "architectures": [
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  "MistralForCausalLM"
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  ],
 
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  "sliding_window": 4096,
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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+ "transformers_version": "4.38.1",
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  "use_cache": true,
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  "vocab_size": 32000
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  }
mergekit_config.yml CHANGED
@@ -1,12 +1,13 @@
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-
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  slices:
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  - sources:
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- - model: OpenPipe/mistral-ft-optimized-1227
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  layer_range: [0, 32]
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- - model: cgato/Thespis-Mistral-7b-v0.6
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  layer_range: [0, 32]
 
 
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  merge_method: slerp
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- base_model: OpenPipe/mistral-ft-optimized-1227
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  parameters:
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  t:
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  - filter: self_attn
@@ -14,4 +15,4 @@ parameters:
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  - filter: mlp
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  value: [1, 0.5, 0.7, 0.3, 0]
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  - value: 0.5
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- dtype: bfloat16
 
 
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  slices:
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+ - model: uproai/RosMistral-2x7B
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  layer_range: [0, 32]
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+ - model: NeverSleep/Noromaid-7b-v0.2
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  layer_range: [0, 32]
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+ # - model: saishf/West-Hermes-7B
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+ # layer_range: [0, 32]
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  merge_method: slerp
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+ base_model: uproai/RosMistral-2x7B
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  parameters:
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  t:
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  - filter: self_attn
 
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  - filter: mlp
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  value: [1, 0.5, 0.7, 0.3, 0]
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  - value: 0.5
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+ dtype: bfloat16
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