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.gitattributes

@@ -33,3 +33,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model-00001-of-00005.safetensors filter=lfs diff=lfs merge=lfs -text
+model-00002-of-00005.safetensors filter=lfs diff=lfs merge=lfs -text
+model-00003-of-00005.safetensors filter=lfs diff=lfs merge=lfs -text
+model-00004-of-00005.safetensors filter=lfs diff=lfs merge=lfs -text
+model-00005-of-00005.safetensors filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,46 @@
+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# saiga_nemo_12b_sft_m9_d16_slerp
+
+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 SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36
+* models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36_doestoevsky_orpo_m1
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36_doestoevsky_orpo_m1
+dtype: bfloat16
+merge_method: slerp
+parameters:
+  t:
+  - filter: self_attn
+    value: [0.0, 0.5, 0.3, 0.7, 1.0]
+  - filter: mlp
+    value: [1.0, 0.5, 0.7, 0.3, 0.0]
+  - value: 0.5
+slices:
+- sources:
+  - layer_range: [0, 40]
+    model: models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36
+  - layer_range: [0, 40]
+    model: models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36_doestoevsky_orpo_m1
+
+```

config.json

@@ -0,0 +1,40 @@
+{
+    "_name_or_path": "models/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36_doestoevsky_orpo_m1",
+    "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,
+    "pad_token_id": 10,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 1000000.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.45.1",
+    "unsloth_version": "2024.8",
+    "use_cache": true,
+    "vocab_size": 131072,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.3",
+        "bits": 4.0,
+        "head_bits": 8,
+        "calibration": {
+            "rows": 100,
+            "length": 1024,
+            "dataset": "ru-fictext-nsfw"
+        }
+    }
+}

mergekit_config.yml

@@ -0,0 +1,16 @@
+base_model: IlyaGusev/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36_doestoevsky_orpo_m1
+dtype: bfloat16
+merge_method: slerp
+parameters:
+  t:
+  - filter: self_attn
+    value: [0.0, 0.5, 0.3, 0.7, 1.0]
+  - filter: mlp
+    value: [1.0, 0.5, 0.7, 0.3, 0.0]
+  - value: 0.5
+slices:
+- sources:
+  - layer_range: [0, 40]
+    model: IlyaGusev/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36
+  - layer_range: [0, 40]
+    model: IlyaGusev/saiga_nemo_12b_sft_m9_d16_simpo_m21_d36_doestoevsky_orpo_m1

model.safetensors.index.json

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