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README.md

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+---
+base_model:
+- Gaivoronsky/Mistral-7B-Saiga
+- HuggingFaceH4/mistral-7b-grok
+- NousResearch/Yarn-Mistral-7b-128k
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Gaivoronsky/Mistral-7B-Saiga](https://huggingface.co/Gaivoronsky/Mistral-7B-Saiga) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [HuggingFaceH4/mistral-7b-grok](https://huggingface.co/HuggingFaceH4/mistral-7b-grok)
+* [NousResearch/Yarn-Mistral-7b-128k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+- sources:
+  - model: Gaivoronsky/Mistral-7B-Saiga
+    layer_range:
+    - 0
+    - 32
+  - model: HuggingFaceH4/mistral-7b-grok
+    layer_range:
+    - 0
+    - 32
+  - model: NousResearch/Yarn-Mistral-7b-128k
+    layer_range:
+    - 0
+    - 32
+merge_method: model_stock
+base_model: Gaivoronsky/Mistral-7B-Saiga
+parameters:
+  t:
+  - filter: self_attn
+    value:
+    - 0
+    - 0.5
+    - 0.3
+    - 0.7
+    - 1
+  - filter: mlp
+    value:
+    - 1
+    - 0.5
+    - 0.7
+    - 0.3
+    - 0
+  - filter: mlp
+    value:
+    - 1
+    - 0.5
+    - 0.7
+    - 0.3
+    - 0
+  - value: 0.5
+dtype: bfloat16
+```

added_tokens.json

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+{
+  "<|im_end|>": 32000,
+  "<|im_start|>": 32001
+}

config.json

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+{
+  "_name_or_path": "Gaivoronsky/Mistral-7B-Saiga",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 32002
+}

mergekit_config.yml

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+slices:
+- sources:
+  - model: Gaivoronsky/Mistral-7B-Saiga
+    layer_range:
+    - 0
+    - 32
+  - model: HuggingFaceH4/mistral-7b-grok
+    layer_range:
+    - 0
+    - 32
+  - model: NousResearch/Yarn-Mistral-7b-128k
+    layer_range:
+    - 0
+    - 32
+merge_method: model_stock
+base_model: Gaivoronsky/Mistral-7B-Saiga
+parameters:
+  t:
+  - filter: self_attn
+    value:
+    - 0
+    - 0.5
+    - 0.3
+    - 0.7
+    - 1
+  - filter: mlp
+    value:
+    - 1
+    - 0.5
+    - 0.7
+    - 0.3
+    - 0
+  - filter: mlp
+    value:
+    - 1
+    - 0.5
+    - 0.7
+    - 0.3
+    - 0
+  - value: 0.5
+dtype: bfloat16

model-00001-of-00002.safetensors

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model.safetensors.index.json

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