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@@ -33,3 +33,4 @@ 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
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,114 @@
+---
+base_model:
+- unsloth/Qwen2.5-3B-Instruct
+- unsloth/Qwen2.5-3B
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merged_output_ties_1_4
+
+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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/Qwen2.5-3B](https://huggingface.co/unsloth/Qwen2.5-3B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [unsloth/Qwen2.5-3B-Instruct](https://huggingface.co/unsloth/Qwen2.5-3B-Instruct)
+* triples/merged_model
+* genstruct/merged_model
+* kg/merged_model
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  # Base instructed model
+  - model: unsloth/Qwen2.5-3B-Instruct
+    parameters:
+      weight: 1
+      density: 1
+
+  # Merged LoRA models
+  - model: genstruct/merged_model
+    parameters:
+      weight: 1.0
+      density: 1.0
+
+  # - model: summary/merged_model
+  #   parameters:
+  #     weight: 1.0
+  #     density: 1.0
+
+  - model: kg/merged_model
+    parameters:
+      weight: 1.0
+      density: 1.0
+
+  #### THIS BREAKS KG!!!
+  # - model: pII/merged_model
+  #   parameters:
+  #     weight: 1.0
+  #     density: 1.0
+
+  # #### Breaks KG!
+  # - model: preference/merged_model
+  #   parameters:
+  #     weight: 1.0
+  #     density: 1.0
+
+  - model: triples/merged_model
+    parameters:
+      weight: 1.0
+      density: 1.0
+
+  # - model: suitable/merged_model
+  #   parameters:
+  #     weight: 1.0
+  #     density: 1.0
+
+  # - model: feedback/merged_model
+  #   parameters:
+  #     weight: 1.0
+  #     density: 1.0
+
+# Merge configuration
+merge_method: ties
+base_model: unsloth/Qwen2.5-3B
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+
+# # Tokenizer configuration
+# tokenizer_source: Qwen/Qwen1.5-14B-Chat
+# tokenizer_parameters:
+#   trust_remote_code: true
+  
+# # Output configuration
+# output:
+#   precision: bfloat16
+#   model_format: safetensors
+#   max_shard_size: "4GB"
+
+# # Training configuration (for potential fine-tuning)
+# training:
+#   learning_rate: 2e-5
+#   warmup_steps: 100
+#   gradient_checkpointing: true
+#   gradient_accumulation_steps: 4
+  
+# # Hardware optimization
+# hardware:
+#   mixed_precision: true
+#   cuda_memory_fraction: 0.95
+#   optimize_model_memory: true
+```

added_tokens.json

@@ -0,0 +1,25 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|PAD_TOKEN|>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

config.json

@@ -0,0 +1,32 @@
+{
+  "_name_or_path": "unsloth/Qwen2.5-3B",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 36,
+  "model_type": "qwen2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 2,
+  "pad_token_id": 151665,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.3",
+  "unsloth_fixed": true,
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

mergekit_config.yml

@@ -0,0 +1,81 @@
+models:
+  # Base instructed model
+  - model: unsloth/Qwen2.5-3B-Instruct
+    parameters:
+      weight: 1
+      density: 1
+
+  # Merged LoRA models
+  - model: genstruct/merged_model
+    parameters:
+      weight: 1.0
+      density: 1.0
+
+  # - model: summary/merged_model
+  #   parameters:
+  #     weight: 1.0
+  #     density: 1.0
+
+  - model: kg/merged_model
+    parameters:
+      weight: 1.0
+      density: 1.0
+
+  #### THIS BREAKS KG!!!
+  # - model: pII/merged_model
+  #   parameters:
+  #     weight: 1.0
+  #     density: 1.0
+
+  # #### Breaks KG!
+  # - model: preference/merged_model
+  #   parameters:
+  #     weight: 1.0
+  #     density: 1.0
+
+  - model: triples/merged_model
+    parameters:
+      weight: 1.0
+      density: 1.0
+
+  # - model: suitable/merged_model
+  #   parameters:
+  #     weight: 1.0
+  #     density: 1.0
+
+  # - model: feedback/merged_model
+  #   parameters:
+  #     weight: 1.0
+  #     density: 1.0
+
+# Merge configuration
+merge_method: ties
+base_model: unsloth/Qwen2.5-3B
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+
+# # Tokenizer configuration
+# tokenizer_source: Qwen/Qwen1.5-14B-Chat
+# tokenizer_parameters:
+#   trust_remote_code: true
+  
+# # Output configuration
+# output:
+#   precision: bfloat16
+#   model_format: safetensors
+#   max_shard_size: "4GB"
+
+# # Training configuration (for potential fine-tuning)
+# training:
+#   learning_rate: 2e-5
+#   warmup_steps: 100
+#   gradient_checkpointing: true
+#   gradient_accumulation_steps: 4
+  
+# # Hardware optimization
+# hardware:
+#   mixed_precision: true
+#   cuda_memory_fraction: 0.95
+#   optimize_model_memory: true

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model.safetensors.index.json

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