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README.md

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+---
+library_name: transformers
+pipeline_tag: text-generation
+inference: true
+widget:
+  - text: Hello!
+    example_title: Hello world
+    group: Python
+base_model:
+- KORMo-Team/KORMo-10B-sft
+---
+
+This tiny model is intended for debugging. It is randomly initialized using the configuration adapted from [KORMo-Team/KORMo-10B-sft](https://huggingface.co/KORMo-Team/KORMo-10B-sft).
+
+### Example usage:
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+
+model_id = "tiny-random/kormo"
+tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    trust_remote_code=True,
+)
+pipe = pipeline('text-generation', model=model, tokenizer=tokenizer, trust_remote_code=True)
+print(pipe('Write an article about Artificial Intelligence.'))
+```
+
+### Codes to create this repo:
+
+```python
+import json
+from pathlib import Path
+
+import accelerate
+import torch
+from huggingface_hub import file_exists, hf_hub_download
+from transformers import (
+    AutoConfig,
+    AutoModelForCausalLM,
+    AutoTokenizer,
+    GenerationConfig,
+    set_seed,
+)
+
+source_model_id = "KORMo-Team/KORMo-10B-sft"
+save_folder = "/tmp/tiny-random/kormo"
+
+processor = AutoTokenizer.from_pretrained(source_model_id)
+processor.save_pretrained(save_folder)
+
+with open(hf_hub_download(source_model_id, filename='config.json', repo_type='model'), 'r', encoding='utf-8') as f:
+    config_json = json.load(f)
+for k, v in config_json['auto_map'].items():
+    config_json['auto_map'][k] = f'{source_model_id}--{v}'
+
+config_json['hidden_size'] = 8
+config_json['intermediate_size'] = 64
+config_json['num_attention_heads'] = 8
+config_json['num_hidden_layers'] = 2
+config_json['num_key_value_heads'] = 4
+
+with open(f"{save_folder}/config.json", "w", encoding='utf-8') as f:
+    json.dump(config_json, f, indent=2)
+
+config = AutoConfig.from_pretrained(
+    save_folder,
+    trust_remote_code=True,
+)
+print(config)
+
+torch.set_default_dtype(torch.bfloat16)
+model = AutoModelForCausalLM.from_config(config, trust_remote_code=True)
+torch.set_default_dtype(torch.float32)
+
+if file_exists(filename="generation_config.json", repo_id=source_model_id, repo_type='model'):
+    model.generation_config = GenerationConfig.from_pretrained(
+        source_model_id, trust_remote_code=True,
+    )
+set_seed(42)
+model = model.cpu()
+with torch.no_grad():
+    for name, p in sorted(model.named_parameters()):
+        torch.nn.init.normal_(p, 0, 0.1)
+        print(name, p.shape)
+model.save_pretrained(save_folder)
+print(model)
+
+def modify_automap(path, source_model_id):
+    import json
+    with open(path, 'r', encoding='utf-8') as f:
+        content = json.load(f)
+    automap = {}
+    if content.get('auto_map', None) is not None:
+        for key, value in content.get('auto_map').items():
+            if isinstance(value, str):
+                value = source_model_id + '--' + value.split('--')[-1]
+            else:
+                value = [(source_model_id + '--' + v.split('--')[-1]) if '.' in str(v) else v for v in value]
+            automap[key] = value
+        with open(path, 'w', encoding='utf-8') as f:
+            json.dump({**content, 'auto_map': automap}, f, indent=2)
+
+modify_automap(f"{save_folder}/config.json", source_model_id)
+# modify_automap(f'{save_folder}/processor_config.json', source_model_id)
+# modify_automap(f'{save_folder}/preprocessor_config.json', source_model_id)
+# modify_automap(f'{save_folder}/tokenizer_config.json', source_model_id)
+for python_file in Path(save_folder).glob('*.py'):
+    python_file.unlink()
+```
+
+### Printing the model:
+
+```text
+KORMoForCausalLM(
+  (model): KORMoModel(
+    (embed_tokens): Embedding(125184, 8, padding_idx=125032)
+    (layers): ModuleList(
+      (0-1): 2 x DecoderLayer(
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=8, out_features=1024, bias=False)
+          (k_proj): Linear(in_features=8, out_features=512, bias=False)
+          (v_proj): Linear(in_features=8, out_features=512, bias=False)
+          (o_proj): Linear(in_features=1024, out_features=8, bias=False)
+        )
+        (mlp): MLP(
+          (gate_proj): Linear(in_features=8, out_features=64, bias=False)
+          (up_proj): Linear(in_features=8, out_features=64, bias=False)
+          (down_proj): Linear(in_features=64, out_features=8, bias=False)
+          (act_fn): SiLU()
+        )
+        (pre_attention_layernorm): RMSNorm((8,), eps=1e-05)
+        (pre_mlp_layernorm): RMSNorm((8,), eps=1e-05)
+      )
+    )
+    (norm): RMSNorm((8,), eps=1e-05)
+    (rotary_emb): RotaryEmbedding()
+  )
+  (lm_head): Linear(in_features=8, out_features=125184, bias=False)
+)
+```

chat_template.jinja

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+{%- if tools %}
+    {{- '<|BOT|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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><|EOT|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|BOT|>system\n' + messages[0].content + '<|EOT|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|BOT|>' + message.role + '\n' + content + '<|EOT|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|BOT|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|BOT|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|BOT|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|EOT|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|BOT|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|EOT|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|BOT|>assistant\n' }}
+    {%- if enable_thinking is defined %}
+        {%- if not enable_thinking %}
+            {{- '<think>\n\n</think>\n' }}
+        {%- else %}
+            {{-'<think>\n'}}
+        {%- endif %}
+    {%- else %}
+        {{- '<think>\n\n</think>\n' }}
+    {%- endif %}
+{%- endif %}

config.json

@@ -0,0 +1,37 @@
+{
+  "architectures": [
+    "KORMoForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "KORMo-Team/KORMo-10B-sft--_configuration_kormo.KORMoConfig",
+    "AutoModelForCausalLM": "KORMo-Team/KORMo-10B-sft--_modeling_kormo.KORMoForCausalLM"
+  },
+  "bos_token_id": 125030,
+  "dtype": "bfloat16",
+  "eos_token_id": 125040,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 8,
+  "initializer_range": 0.02,
+  "intermediate_size": 64,
+  "mask_type": null,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "kormo",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 2,
+  "num_key_value_heads": 4,
+  "pad_token_id": 125032,
+  "pretrain_tp": 1,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 8000000.0,
+  "tie_word_embeddings": false,
+  "tie_word_embeddins": false,
+  "transformers_version": "4.57.0.dev0",
+  "use_cache": true,
+  "vocab_size": 125184
+}

generation_config.json

@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 125030,
+  "eos_token_id": [
+    125040
+  ],
+  "pad_token_id": 125032,
+  "transformers_version": "4.57.0.dev0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53350012e9e81d76e27e84627d1ba062eef66e3fbc32781f4fb73ece0aaa939c
+size 4112624

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<|BOS|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|EOT|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|PAD|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,343 @@
+{
+  "added_tokens_decoder": {
+    "125000": {
+      "content": "\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125001": {
+      "content": "\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125002": {
+      "content": "\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125003": {
+      "content": "\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125004": {
+      "content": "\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125005": {
+      "content": "\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125006": {
+      "content": "\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125007": {
+      "content": "\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
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+    },
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+      "content": "\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125009": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125010": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125011": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
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+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
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+      "single_word": false,
+      "special": false
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+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
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+      "single_word": false,
+      "special": false
+    },
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+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125015": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125016": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125017": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
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+      "rstrip": false,
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+    },
+    "125018": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
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+    "125020": {
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+    },
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+      "lstrip": false,
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+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
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+    },
+    "125026": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125027": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125028": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125029": {
+      "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125030": {
+      "content": "<|BOS|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "125031": {
+      "content": "<|EOS|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "125032": {
+      "content": "<|PAD|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
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+    "125033": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
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+      "special": false
+    },
+    "125034": {
+      "content": "</think>",
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+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125035": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125036": {
+      "content": "</tool_call>",
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125037": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "125038": {
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    },
+    "125039": {
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+      "normalized": false,
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+      "special": true
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+    "125040": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|BOS|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|EOT|>",
+  "extra_special_tokens": {},
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|PAD|>",
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}