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README.md

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+---
+base_model:
+- Sao10K/L3-8B-Stheno-v3.2
+- Vikhrmodels/it-5.4-fp16-orpo-v2
+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 SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
+* [Vikhrmodels/it-5.4-fp16-orpo-v2](https://huggingface.co/Vikhrmodels/it-5.4-fp16-orpo-v2)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+- sources:
+  - model: Vikhrmodels/it-5.4-fp16-orpo-v2
+    layer_range:
+    - 0
+    - 32
+  - model: Sao10K/L3-8B-Stheno-v3.2
+    layer_range:
+    - 0
+    - 32
+merge_method: slerp
+base_model: Vikhrmodels/it-5.4-fp16-orpo-v2
+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
+  - value: 0.5
+dtype: bfloat16
+```

added_tokens.json

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+  "<|future_token_8|>": 79093,
+  "<|future_token_9|>": 79094,
+  "<|start_header_id|>": 79097
+}

config.json

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+{
+  "_name_or_path": "Vikhrmodels/it-5.4-fp16-orpo-v2",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 79099,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.1",
+  "use_cache": false,
+  "vocab_size": 79100
+}

mergekit_config.yml

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+slices:
+- sources:
+  - model: Vikhrmodels/it-5.4-fp16-orpo-v2
+    layer_range:
+    - 0
+    - 32
+  - model: Sao10K/L3-8B-Stheno-v3.2
+    layer_range:
+    - 0
+    - 32
+merge_method: slerp
+base_model: Vikhrmodels/it-5.4-fp16-orpo-v2
+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
+  - value: 0.5
+dtype: bfloat16

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|start_header_id|>",
+    "<|end_header_id|>",
+    "<|eot_id|>"
+  ],
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+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "normalized": true,
+    "rstrip": false,
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+size 1636166

tokenizer_config.json

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+      "special": true
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+    "<|end_header_id|>",
+    "<|eot_id|>"
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+  "chat_template": "{{ bos_token }}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}{% endif %}",
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