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.gitattributes

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 *.zst filter=lfs diff=lfs merge=lfs -text
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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,52 @@
+---
+base_model:
+- Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24
+- IlyaGusev/vikhr_nemo_orpo_dostoevsky_12b
+- IlyaGusev/saiga_nemo_12b
+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 della_linear merge method using [Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24](https://huggingface.co/Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [IlyaGusev/vikhr_nemo_orpo_dostoevsky_12b](https://huggingface.co/IlyaGusev/vikhr_nemo_orpo_dostoevsky_12b)
+* [IlyaGusev/saiga_nemo_12b](https://huggingface.co/IlyaGusev/saiga_nemo_12b)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24
+    parameters:
+      weight: 0.55
+      density: 0.4
+  - model: IlyaGusev/saiga_nemo_12b
+    parameters:
+      weight: 0.35
+      density: 0.4
+  - model: IlyaGusev/vikhr_nemo_orpo_dostoevsky_12b
+    parameters:
+      weight: 0.25
+      density: 0.4
+merge_method: della_linear
+base_model: Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24
+parameters:
+  epsilon: 0.05
+  lambda: 1
+dtype: float16
+tokenizer_source: base
+```

config.json

@@ -0,0 +1,27 @@
+{
+  "_name_or_path": "Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 1024000,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.46.2",
+  "use_cache": true,
+  "vocab_size": 131074
+}

mergekit_config.yml

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+models:
+  - model: Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24
+    parameters:
+      weight: 0.55
+      density: 0.4
+  - model: IlyaGusev/saiga_nemo_12b
+    parameters:
+      weight: 0.35
+      density: 0.4
+  - model: IlyaGusev/vikhr_nemo_orpo_dostoevsky_12b
+    parameters:
+      weight: 0.25
+      density: 0.4
+merge_method: della_linear
+base_model: Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24
+parameters:
+  epsilon: 0.05
+  lambda: 1
+dtype: float16
+tokenizer_source: base

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