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README.md

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+---
+base_model:
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B-Instruct
+tags:
+- merge
+- mergekit
+- lazymergekit
+- Qwen/Qwen2.5-1.5B-Instruct
+---
+
+# Qwen2.5-2B-Instruct
+
+Qwen2.5-2B-Instruct is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+
+## 🧩 Configuration
+
+```yaml
+dtype: bfloat16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 2]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [1, 3]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [2, 4]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [3, 5]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [4, 6]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [5, 7]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [6, 8]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [7, 9]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [8, 10]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [9, 11]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [10, 12]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [11, 13]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [12, 14]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [13, 15]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [14, 16]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [16, 18]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [17, 19]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [18, 20]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [19, 21]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [20, 22]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [21, 23]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [22, 24]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [23, 25]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [24, 26]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [25, 27]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [26, 28]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "win10/Qwen2.5-2B-Instruct"
+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"])
+```

added_tokens.json

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+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|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 +1,28 @@
+{
+  "_name_or_path": "Qwen/Qwen2.5-1.5B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 52,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

mergekit_config.yml

@@ -0,0 +1,82 @@
+
+dtype: bfloat16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 2]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [1, 3]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [2, 4]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [3, 5]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [4, 6]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [5, 7]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [6, 8]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [7, 9]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [8, 10]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [9, 11]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [10, 12]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [11, 13]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [12, 14]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [13, 15]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [14, 16]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [16, 18]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [17, 19]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [18, 20]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [19, 21]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [20, 22]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [21, 23]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [22, 24]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [23, 25]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [24, 26]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [25, 27]
+    model: Qwen/Qwen2.5-1.5B-Instruct
+- sources:
+  - layer_range: [26, 28]
+    model: Qwen/Qwen2.5-1.5B-Instruct

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special_tokens_map.json

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tokenizer_config.json

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+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}