Update tiny models for YoutuModel

chat_template.jinja

@@ -0,0 +1 @@
+{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_tool_message=false, first_tool_index=messages|length, is_output_first=true, system_prompt='', is_first_sp=true, is_last_user=false) %}{% for message in messages %}{% if message['role'] == 'system' %}{% if ns.is_first_sp %}{% set ns.system_prompt = ns.system_prompt + message['content'] %}{% set ns.is_first_sp = false %}{% else %}{% set ns.system_prompt = ns.system_prompt + '\n\n' + message['content'] %}{% endif %}{% endif %}{% if not ns.is_tool_message and (message['role'] == 'tool' or (message['role'] == 'user' and message['content'].startswith('<tool_response>') and message['content'].endswith('</tool_response>'))) %}{% set ns.is_tool_message = true %}{% set ns.first_tool_index = loop.index0 %}{% endif %}{% endfor %}{% if tools is defined and tools is not none %}{% set tool_ns = namespace(text='<|begin_of_tool_description|>Tool calling capabilities.\nYou may call one or more functions to assist with the user query. You have the following functions available:', return_text='For tool call returns, you MUST use the following format:\n<tool_call>{\"name\": \"function-name\", \"arguments\": {\"param1\": \"value1\", \"param2\": \"value2\"}}</tool_call>\n<|end_of_tool_description|>') %}{% for tool in tools %}{% set tool_ns.text = tool_ns.text + '\n```json\n' + (tool | tojson) + '\n```' %}{% endfor %}{% set tool_ns.text = tool_ns.text + '\n' + tool_ns.return_text %}{% if ns.system_prompt == '' %}{% set ns.system_prompt = tool_ns.text %}{% else %}{% set ns.system_prompt = ns.system_prompt + '\n\n' + tool_ns.text %}{% endif %}{% endif %}{{ bos_token }}{{ ns.system_prompt }}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{% set ns.is_tool = false %}{% set ns.is_first = false %}{% set ns.is_last_user = true %}{{ '<|User|>' + content }}{% endif %}{% if message['role'] == 'assistant' %}{% if '</think>' in content and not loop.last and loop.index0 < (ns.first_tool_index - 1) %}{% set content = content.rsplit('</think>', 1)[-1].lstrip('\n') %}{% endif %}{% if '<think>' not in content and '</think>' not in content and loop.last %}{% set content = '<think>\n\n</think>\n\n' + content %}{% endif %}{% endif %}{% if message['role'] == 'assistant' and message['tool_calls'] is defined and message['tool_calls'] is not none %}{% set ns.is_last_user = false %}{{ '<|Assistant|>' }}{% if content is not none %}{{ content }}{% endif %}{% set ns.is_first = false %}{% set ns.is_tool = false %}{% set ns.is_output_first = true %}{% for tool in message['tool_calls'] %}{% if tool['function']['arguments'] is string %}{% set tool_call_str = '{\"name\": \"' + tool['function']['name'] + '\", \"arguments\": ' + tool['function']['arguments'] + '}' %}{% else %}{% set tool_call_str = '{\"name\": \"' + tool['function']['name'] + '\", \"arguments\": ' + tool['function']['arguments']|tojson + '}' %}{% endif %}{% if not ns.is_first %}{{ '<tool_call>' + tool_call_str + '</tool_call>' }}{% set ns.is_first = true %}{% else %}{{ '\n' + '<tool_call>' + tool_call_str + '</tool_call>' }}{% endif %}{% endfor %}{{ '<|end_of_text|>' }}{% endif %}{% if message['role'] == 'assistant' and (message['tool_calls'] is not defined or message['tool_calls'] is none)%}{% set ns.is_last_user = false %}{% set ns.is_tool = false %}{% set ns.is_output_first = true %}{{ '<|Assistant|>' + content + '<|end_of_text|>' }}{% endif %}{% if message['role'] == 'tool' %}{% set ns.is_last_user = false %}{% set ns.is_tool = true %}{% if ns.is_output_first %}{{ '<|User|><tool_response>' + content + '</tool_response>' }}{% set ns.is_output_first = false %}{% else %}{{ '\n<tool_response>' + content + '</tool_response>' }}{% endif %}{% endif %}{% endfor %}{% if add_generation_prompt and (ns.is_last_user or ns.is_tool) %}{{ '<|Assistant|>' }}{% if enable_thinking is defined and enable_thinking is false %}{{ '<think>\n\n</think>\n\n' }}{% elif forced_thinking is defined and forced_thinking is true %}{{ '<think>\n' }}{% endif %}{% endif %}

config.json

@@ -0,0 +1,38 @@
+{
+  "architectures": [
+    "YoutuModel"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "dtype": "float32",
+  "embedding_initializer_range": 0.04,
+  "eos_token_id": 128001,
+  "head_dim": 32,
+  "hidden_act": "gelu",
+  "hidden_size": 32,
+  "initializer_range": 0.02,
+  "intermediate_size": 32,
+  "kv_lora_rank": 16,
+  "max_position_embeddings": 512,
+  "model_type": "youtu",
+  "num_attention_heads": 2,
+  "num_hidden_layers": 2,
+  "num_key_value_heads": 2,
+  "pad_token_id": 128001,
+  "q_lora_rank": 32,
+  "qk_head_dim": 64,
+  "qk_nope_head_dim": 32,
+  "qk_rope_head_dim": 32,
+  "rms_norm_eps": 1e-06,
+  "rope_interleave": true,
+  "rope_parameters": {
+    "rope_theta": 10000.0,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.16.0.dev0",
+  "use_cache": true,
+  "v_head_dim": 32,
+  "vocab_size": 128256
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:77ddb6f60645cf26051a6859d5a98298b92f1aebedb277af19a3fbe07c180089
+size 16531080

tokenizer_config.json

@@ -0,0 +1,16 @@
+{
+  "backend": "tokenizers",
+  "bos_token": "<|begin_of_text|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|end_of_text|>",
+  "is_local": true,
+  "local_files_only": false,
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 512,
+  "pad_token": "<|end_of_text|>",
+  "tokenizer_class": "TokenizersBackend",
+  "truncation_side": "left"
+}