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README.md

@@ -1,12 +1,28 @@
 ---
-license: mit
-language:
-- ja
-base_model:
-- sbintuitions/sarashina2.2-3b-instruct-v0.1
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
 ---
+# sara_depth1
+
+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 Passthrough merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* sarashina2.2-3b-instruct-v0.1
+
+### Configuration
 
-以下の設定でdepth up-scalingを行ったモデルです。
+The following YAML configuration was used to produce this model:
 
 ```yaml
 slices:
@@ -34,92 +50,5 @@ slices:
 
 merge_method: passthrough
 dtype: bfloat16
-```
-
-何故かぱっと見は正常な出力が得られます。
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-import torch
-
-dir_model = r"/media/kurogane/HD-NRLD-A/novel_train/satashina_1/sara_depth1"
-
-tokenizer = AutoTokenizer.from_pretrained(dir_model)
-
-model = AutoModelForCausalLM.from_pretrained(
-    dir_model, 
-    torch_dtype=torch.bfloat16, 
-    device_map="auto",
-)
-
-
-# チャット形式での使用例
-messages = [
-    {
-        "role": "system",
-        "content": "あなたは親切で有能なAIアシスタントです。"
-    },
-    {
-        "role": "user",
-        "content": "次の数学の問題を解いてください：2x + 3 = 7"
-    },
-]
-
-
-
-# チャットテンプレートを使用してメッセージを整形
-prompt = tokenizer.apply_chat_template(
-    messages, 
-    tokenize=False,
-    )
-print("\\nGenerated prompt:\\n", prompt)
-
-# トークン化と推論
-inputs = tokenizer(
-    prompt, 
-    return_tensors="pt", 
-    max_length=2048, 
-    truncation=True,
-    ).to(model.device)
-
-with torch.no_grad():
-    output = model.generate(
-        input_ids=inputs['input_ids'],
-        attention_mask=inputs['attention_mask'],
-        max_new_tokens=300,
-        do_sample=True,
-        top_p=0.95,
-        temperature=0.7,
-        repetition_penalty=1.05,
-    )
-
-response = tokenizer.decode(output[0], skip_special_tokens=True)
-print(response)
-```
 
 ```
-Setting `pad_token_id` to `eos_token_id`:2 for open-end generation.
-あなたは親切で有能なAIアシスタントです。次の数学の問題を解いてください：2x + 3 = 7
-  (ただし、xは整数であると仮定します。)"
-もちろんです、お手伝いします！
-
-与えられた方程式は 2x + 3 = 7 で、xは整数（integer）であると仮定しています。まず、xを片側に孤立させるために、両辺から3を引いてみましょう。
-
-両辺から3を引くと：
-2x + 3 - 3 = 7 - 3
-
-これにより、
-2x = 4
-
-次に、両辺を2で割ってxを求めます：
-2x / 2 = 4 / 2
-
-これにより、
-x = 2
-
-確認のために、元の方程式に x = 2 を代入してみましょう：
-2 * 2 + 3 = 7
-4 + 3 = 7
-7 = 7
-
-確かに、この解は正しいことが確認できました。したがって、xの値は2です。
-```

config.json

@@ -0,0 +1,30 @@
+{
+  "_name_or_path": "sarashina2.2-3b-instruct-v0.1",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 160,
+  "hidden_act": "silu",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 56,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.48.3",
+  "use_cache": false,
+  "vocab_size": 102400
+}

config_sara_depth1.yml

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+slices:
+- sources:
+  - model: 'sarashina2.2-3b-instruct-v0.1'
+    layer_range: [0, 8]
+- sources:
+  - model: 'sarashina2.2-3b-instruct-v0.1'
+    layer_range: [4, 12]
+- sources:
+  - model: 'sarashina2.2-3b-instruct-v0.1'
+    layer_range: [8, 16]
+- sources:
+  - model: 'sarashina2.2-3b-instruct-v0.1'
+    layer_range: [12, 20]
+- sources:
+  - model: 'sarashina2.2-3b-instruct-v0.1'
+    layer_range: [16, 24]
+- sources:
+  - model: 'sarashina2.2-3b-instruct-v0.1'
+    layer_range: [20, 28]
+- sources:
+  - model: 'sarashina2.2-3b-instruct-v0.1'
+    layer_range: [24, 32]
+
+merge_method: passthrough
+dtype: bfloat16

mergekit_config.yml

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+slices:
+- sources:
+  - model: 'sarashina2.2-3b-instruct-v0.1'
+    layer_range: [0, 8]
+- sources:
+  - model: 'sarashina2.2-3b-instruct-v0.1'
+    layer_range: [4, 12]
+- sources:
+  - model: 'sarashina2.2-3b-instruct-v0.1'
+    layer_range: [8, 16]
+- sources:
+  - model: 'sarashina2.2-3b-instruct-v0.1'
+    layer_range: [12, 20]
+- sources:
+  - model: 'sarashina2.2-3b-instruct-v0.1'
+    layer_range: [16, 24]
+- sources:
+  - model: 'sarashina2.2-3b-instruct-v0.1'
+    layer_range: [20, 28]
+- sources:
+  - model: 'sarashina2.2-3b-instruct-v0.1'
+    layer_range: [24, 32]
+
+merge_method: passthrough
+dtype: bfloat16

model-00001-of-00003.safetensors

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model_run_test1.ipynb

@@ -0,0 +1,180 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1fd6faeab6d64b36bd96bb1bf64c452a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Some parameters are on the meta device because they were offloaded to the cpu.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from transformers import AutoModelForCausalLM, AutoTokenizer\n",
+    "import torch\n",
+    "\n",
+    "dir_model = r\"/media/kurogane/HD-NRLD-A/novel_train/satashina_1/sara_depth1\"\n",
+    "\n",
+    "tokenizer = AutoTokenizer.from_pretrained(dir_model)\n",
+    "\n",
+    "model = AutoModelForCausalLM.from_pretrained(\n",
+    "    dir_model, \n",
+    "    torch_dtype=torch.bfloat16, \n",
+    "    device_map=\"auto\",\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\\nGenerated prompt:\\n <|system|>あなたは親切で有能なAIアシスタントです。</s><|user|>次の数学の問題を解いてください：2x + 3 = 7</s>\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "\n",
+    "# チャット形式での使用例\n",
+    "messages = [\n",
+    "    {\n",
+    "        \"role\": \"system\",\n",
+    "        \"content\": \"あなたは親切で有能なAIアシスタントです。\"\n",
+    "    },\n",
+    "    {\n",
+    "        \"role\": \"user\",\n",
+    "        \"content\": \"次の数学の問題を解いてください：2x + 3 = 7\"\n",
+    "    },\n",
+    "]\n",
+    "\n",
+    "\n",
+    "\n",
+    "# チャットテンプレートを使用してメッセージを整形\n",
+    "prompt = tokenizer.apply_chat_template(\n",
+    "    messages, \n",
+    "    tokenize=False,\n",
+    "    )\n",
+    "print(\"\\\\nGenerated prompt:\\\\n\", prompt)\n",
+    "\n",
+    "# トークン化と推論\n",
+    "inputs = tokenizer(\n",
+    "    prompt, \n",
+    "    return_tensors=\"pt\", \n",
+    "    max_length=2048, \n",
+    "    truncation=True,\n",
+    "    ).to(model.device)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Setting `pad_token_id` to `eos_token_id`:2 for open-end generation.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "あなたは親切で有能なAIアシスタントです。次の数学の問題を解いてください：2x + 3 = 7\n",
+      "  (ただし、xは整数であると仮定します。)\"\n",
+      "もちろんです、お手伝いします！\n",
+      "\n",
+      "与えられた方程式は 2x + 3 = 7 で、xは整数（integer）であると仮定しています。まず、xを片側に孤立させるために、両辺から3を引いてみましょう。\n",
+      "\n",
+      "両辺から3を引くと：\n",
+      "2x + 3 - 3 = 7 - 3\n",
+      "\n",
+      "これにより、\n",
+      "2x = 4\n",
+      "\n",
+      "次に、両辺を2で割ってxを求めます：\n",
+      "2x / 2 = 4 / 2\n",
+      "\n",
+      "これにより、\n",
+      "x = 2\n",
+      "\n",
+      "確認のために、元の方程式に x = 2 を代入してみましょう：\n",
+      "2 * 2 + 3 = 7\n",
+      "4 + 3 = 7\n",
+      "7 = 7\n",
+      "\n",
+      "確かに、この解は正しいことが確認できました。したがって、xの値は2です。\n"
+     ]
+    }
+   ],
+   "source": [
+    "with torch.no_grad():\n",
+    "    output = model.generate(\n",
+    "        input_ids=inputs['input_ids'],\n",
+    "        attention_mask=inputs['attention_mask'],\n",
+    "        max_new_tokens=300,\n",
+    "        do_sample=True,\n",
+    "        top_p=0.95,\n",
+    "        temperature=0.7,\n",
+    "        repetition_penalty=1.05,\n",
+    "    )\n",
+    "\n",
+    "response = tokenizer.decode(output[0], skip_special_tokens=True)\n",
+    "print(response)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "vllmtest",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

special_tokens_map.json

@@ -0,0 +1,51 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<cls>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "<sep>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:008293028e1a9d9a1038d9b63d989a2319797dfeaa03f171093a57b33a3a8277
+size 1831879

tokenizer_config.json

@@ -0,0 +1,171 @@
+{
+  "add_bos_token": false,
+  "add_dummy_prefix_space": false,
+  "add_eos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "<sep>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "5": {
+      "content": "<mask>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "6": {
+      "content": "<cls>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "7": {
+      "content": "<|system|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "8": {
+      "content": "<|assistant|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "9": {
+      "content": "<|user|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "10": {
+      "content": "<|available_tools|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "11": {
+      "content": "<|tool_calls|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "12": {
+      "content": "<|tool_results|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "13": {
+      "content": "<|code|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "14": {
+      "content": "<|file|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "102397": {
+      "content": "<|prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "102398": {
+      "content": "<|suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "102399": {
+      "content": "<|middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "\n{%- set user_messages = messages | selectattr('role', 'equalto', 'user') | list %}\n{%- macro output_available_tools(tools, message) %}\n{%- if tools and (message == user_messages[-1]) %}\n    {{- '<|available_tools|>[' }}\n    {%- for tool in tools %}\n        {%- set tool = tool.function %}\n        {{- \"{\" }}\n        {%- for key, val in tool.items() if key != \"return\" %}\n            {%- if val is string %}\n                {{- \"'\" + key + \"': '\" + val + \"'\" }}\n            {%- else %}\n                {{- \"'\" + key + \"': \" + val|string }}\n            {%- endif %}\n            {%- if not loop.last %}\n                {{- \", \" }}\n            {%- endif %}\n        {%- endfor %}\n        {{- \"}\" }}\n        {%- if not loop.last %}\n            {{- \", \" }}\n        {%- else %}\n            {{- \"]\" }}\n        {%- endif %}\n    {%- endfor %}\n    {{- eos_token -}}\n{%- endif %}\n{%- endmacro %}\n\n{%- macro output_tool_results(tool_results) %}\n{{- '<|tool_results|>[' }}\n{%- for tool_result in tool_results %}\n    {{- \"{'content': \" + tool_result.content|string + \", 'call_id': '\" + tool_result.call_id + \"'}\" }}\n{%- endfor %}\n{{- ']' }}\n{{- eos_token -}}\n{%- endmacro %}\n\n{%- macro output_tool_calls(tool_calls) %}\n{{- '<|tool_calls|>[' }}\n{%- for tool_call in tool_calls %}\n    {{- \"{'id': '\" + tool_call.id + \"', 'name': '\" + tool_call.name + \"', 'arguments': \" + tool_call.arguments|string + '}' }}\n{%- endfor %}\n{{- ']' }}\n{%- endmacro %}\n\n{%- for message in messages %}\n    {%- if message['role'] == 'user' %}\n        {%- if tools is defined %}\n            {{- output_available_tools(tools, message) }}\n        {%- endif %}\n        {{- '<|user|>' + message['content'] + eos_token -}}\n    {%- elif message['role'] == 'system' %}\n        {{- '<|system|>' + message['content'] + eos_token -}}\n    {%- elif message['role'] == 'assistant' %}\n        {% set assistant_content = \"\" %}\n        {%- if message.content is defined %}\n            {% set assistant_content = message.content %}\n        {%- endif %}\n        {%- if message.tool_calls is defined and message.tool_calls -%}\n            {{- '<|assistant|>' + assistant_content + output_tool_calls(message['tool_calls']) + eos_token -}}\n        {%- else %}\n            {{- '<|assistant|>' + assistant_content + eos_token }}\n        {%- endif %}\n    {%- elif message['role'] == 'tool_results' %}\n        {{- output_tool_results(message.tool_results) }}\n    {%- endif %}\n{%- if loop.last and add_generation_prompt -%}\n  {{- '<|assistant|>' -}}\n{%- endif -%}\n{%- endfor %}\n",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<cls>",
+  "do_lower_case": false,
+  "eos_token": "</s>",
+  "extra_ids": 0,
+  "keep_accents": true,
+  "legacy": false,
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "padding_side": "right",
+  "sep_token": "<sep>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}