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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-rp-coder-7b
+
+Aria-rp-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-35-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]  # duplicate layer 16
+    target:
+      layer_range: [16, 18]  # copy to positions 16, 17 and 18
+
+  - source:
+      layer_range: [17, 17]  # duplicate layer 17
+    target:
+      layer_range: [19, 20]  # copy to positions 19 and 20     
+
+  - source:
+      layer_range: [18, 31]  # layers after the middle (shifted by 3)
+    target:
+      layer_range: [21, 34]
+
+dtype: float16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Jebadiah/Aria-rp-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-ruby-v3",
+  "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": "bfloat16",
+  "transformers_version": "4.49.0",
+  "use_cache": true,
+  "vocab_size": 32004
+}

mergekit_config.yml

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+
+name: Aria-rp-7b
+merge_method: sce
+parameters:
+  select_topk: 0.8666
+  normalize: true
+dtype: float32
+out_dtype: bfloat16
+base_model: Jebadiah/Aria-ruby-v3
+tokenizer:
+  source: union
+  special_tokens: keep_all
+  priority: none
+  add_padding_token: true
+  force_fast_tokenizer: true  # Can help with compatibility
+  resolve_conflicts: append_ids  # Append IDs to conflicting tokens to make them unique
+models:
+  - model: xingyaoww/CodeActAgent-Mistral-7b-v0.1
+  - model: Badgids/Gonzo-Code-7B
+  - model: Jebadiah/Aria-ruby-v3
+  - model: flammenai/flammen31-mistral-7B
+  - model: fhai50032/SamChat
+  - model: beowolx/CodeNinja-1.0-OpenChat-7B
+  - model: AI-B/UTENA-7B-NSFW-V2
+  - model: MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1
+  - model: DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO
+  - model: Undi95/Mistral-RP-0.1-7B
+  - model: FallenMerick/Iced-Lemon-Cookie-7B

model-00001-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,
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+}

tokenizer_config.json

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+    "32002": {
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+}