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README.md

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+---
+base_model:
+- Jebadiah/Aria-coder-7b
+tags:
+- merge
+- mergekit
+- lazymergekit
+- Jebadiah/Aria-coder-7b
+---
+
+# Aria-tree-coder-7b
+
+Aria-tree-coder-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Jebadiah/Aria-coder-7b](https://huggingface.co/Jebadiah/Aria-coder-7b)
+
+## 🧩 Configuration
+
+```yaml
+name: Jebadiah/Aria-tree-coder-7b
+models:
+  - model: Jebadiah/Aria-coder-7b
+    parameters:
+      density: 1.0
+      weight: 1.0
+
+merge_method: passthrough
+
+layers:
+  - source:
+      layer_range: [0, 15]  # layers before the middle
+    target:
+      layer_range: [0, 15]
+
+  - source:
+      layer_range: [16, 16]  # the middle layer to duplicate
+    target:
+      layer_range: [16, 17]  # copy to positions 16 and 17
+
+  - source:
+      layer_range: [17, 30]  # layers after the middle (shifted by 1)
+    target:
+      layer_range: [18, 31]
+
+dtype: float16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Jebadiah/Aria-tree-coder-7b"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```

config.json

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+{
+  "_name_or_path": "Jebadiah/Aria-coder-7b",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "Jebadiah/Aria-ruby-v3--configuration_mistral.MistralConfig",
+    "AutoModelForCausalLM": "Jebadiah/Aria-ruby-v3--modeling_mistral_yarn.MistralForCausalLM"
+  },
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "max_sequence_length": 131072,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 16.0,
+    "finetuned": true,
+    "original_max_position_embeddings": 8192,
+    "type": "yarn"
+  },
+  "rope_theta": 10000.0,
+  "sliding_window": 131072,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.49.0",
+  "use_cache": true,
+  "vocab_size": 32002
+}

mergekit_config.yml

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+
+name: Jebadiah/Aria-tree-coder-7b
+models:
+  - model: Jebadiah/Aria-coder-7b
+    parameters:
+      density: 1.0
+      weight: 1.0
+
+merge_method: passthrough
+
+layers:
+  - source:
+      layer_range: [0, 15]  # layers before the middle
+    target:
+      layer_range: [0, 15]
+
+  - source:
+      layer_range: [16, 16]  # the middle layer to duplicate
+    target:
+      layer_range: [16, 17]  # copy to positions 16 and 17
+
+  - source:
+      layer_range: [17, 30]  # layers after the middle (shifted by 1)
+    target:
+      layer_range: [18, 31]
+
+dtype: float16

model-00001-of-00002.safetensors

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model-00002-of-00002.safetensors

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model.safetensors.index.json

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special_tokens_map.json

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+{
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
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+  "add_eos_token": false,
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+      "single_word": false,
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+    "32001": {
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  "additional_special_tokens": [],
+  "bos_token": "<s>",
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+  "eos_token": "</s>",
+  "extra_special_tokens": {},
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+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizerFast",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}