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README.md

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+
+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- slerp
+- 7B
+- eren23/OGNO-7b-dpo-truthful
+- Kquant03/NeuralTrix-7B-dpo-laser
+---
+
+# FMixIA-7B-SLERP-27
+
+FMixIA-7B-SLERP-27 est une fusion des deux premiers modèles 7B du leaderboard utilisant [mergekit](https://github.com/cg123/mergekit):
+* [eren23/OGNO-7b-dpo-truthful](https://huggingface.co/eren23/OGNO-7b-dpo-truthful)
+* [Kquant03/NeuralTrix-7B-dpo-laser](https://huggingface.co/Kquant03/NeuralTrix-7B-dpo-laser)
+
+## 🔧 Configuration
+
+```yaml
+
+merge_method: slerp
+slices:
+            - sources:
+                - model: eren23/OGNO-7b-dpo-truthful
+                  layer_range: [0, 32]
+                - model: Kquant03/NeuralTrix-7B-dpo-laser
+                  layer_range: [0, 32]
+              merge_method: slerp
+              base_model: eren23/OGNO-7b-dpo-truthful
+              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
+```

config.json

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+{
+  "_name_or_path": "eren23/OGNO-7b-dpo-truthful",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "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": "float16",
+  "transformers_version": "4.47.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+
+merge_method: slerp
+slices:
+            - sources:
+                - model: eren23/OGNO-7b-dpo-truthful
+                  layer_range: [0, 32]
+                - model: Kquant03/NeuralTrix-7B-dpo-laser
+                  layer_range: [0, 32]
+              merge_method: slerp
+              base_model: eren23/OGNO-7b-dpo-truthful
+              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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