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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,91 @@
+---
+license: gemma
+language:
+- en
+base_model:
+- google/gemma-3-270m
+tags:
+- text-generation-inference
+- transformers
+- title-generation
+- chat-summarization
+- openwebui
+- sft
+- trl
+- gemma3
+pipeline_tag: text-generation
+datasets:
+- gghfez/openwebui_title_generation
+---
+
+# OpenWebUI Title Generator - Gemma 270M
+
+A fine-tuned Gemma 270M model specialized for generating concise, emoji-enhanced titles for chat conversations.
+Use this to avoid wasting API credits or wiping out the llama.cpp KV cache after the first message.
+
+## Model Description
+
+This model was fine-tuned on 8,900 examples of chat conversation title generation tasks. It takes chat history as input and outputs a JSON-formatted title with 3-5 words and relevant emojis.
+
+## Intended Use
+
+- Generate titles for chat conversations in OpenWebUI
+- Summarize conversation themes quickly
+- Create engaging, emoji-enhanced titles
+
+
+## Performance
+
+- Fast inference suitable for real-time title generation
+- Lightweight at 270M parameters
+- Consistent JSON output format
+
+
+## Usage
+
+Set this as the "Task Model" in OpenWebUI.
+
+Settings -> Admin -> Interface
+
+## Prompt format
+
+The default OpenWebUI prompt format:
+
+```
+### Task:
+Generate a concise, 3-5 word title with an emoji summarizing the chat history.
+### Guidelines:
+- The title should clearly represent the main theme or subject of the conversation.
+- Use emojis that enhance understanding of the topic, but avoid quotation marks or special formatting.
+- Write the title in the chat's primary language; default to English if multilingual.
+- Prioritize accuracy over excessive creativity; keep it clear and simple.
+### Output:
+JSON format: { "title": "your concise title here" }
+### Examples:
+- { "title": "📉 Stock Market Trends" },
+- { "title": "🍪 Perfect Chocolate Chip Recipe" },
+- { "title": "Evolution of Music Streaming" },
+- { "title": "Remote Work Productivity Tips" },
+- { "title": "Artificial Intelligence in Healthcare" },
+- { "title": "🎮 Video Game Development Insights" }
+### Chat History:
+<chat_history>
+USER: hi
+ASSISTANT: Hello! How can I assist you today? 😊
+USER: who are you?
+ASSISTANT: I’m Gemma, a large language model created by the Gemma team at Google DeepMind. I’m an open-weights model, which means I’m widely available for public use!
+</chat_history>
+```
+
+Expected response:
+
+```
+'{"title": "👋 Simple Greeting"}'
+```
+
+## Limitations 
+
+- Optimized specifically for title generation in OpenWebUI
+- May not perform well in other chat interfaces
+- Emojis sometimes not placed consistently or may be omitted entirely
+- Only tested at BF16

added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "<image_soft_token>": 262144
+}

chat_template.jinja

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+{{ bos_token }}
+{%- if messages[0]['role'] == 'system' -%}
+    {%- if messages[0]['content'] is string -%}
+        {%- set first_user_prefix = messages[0]['content'] + '
+
+' -%}
+    {%- else -%}
+        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
+
+' -%}
+    {%- endif -%}
+    {%- set loop_messages = messages[1:] -%}
+{%- else -%}
+    {%- set first_user_prefix = "" -%}
+    {%- set loop_messages = messages -%}
+{%- endif -%}
+{%- for message in loop_messages -%}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
+        {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
+    {%- endif -%}
+    {%- if (message['role'] == 'assistant') -%}
+        {%- set role = "model" -%}
+    {%- else -%}
+        {%- set role = message['role'] -%}
+    {%- endif -%}
+    {{ '<start_of_turn>' + role + '
+' + (first_user_prefix if loop.first else "") }}
+    {%- if message['content'] is string -%}
+        {{ message['content'] | trim }}
+    {%- elif message['content'] is iterable -%}
+        {%- for item in message['content'] -%}
+            {%- if item['type'] == 'image' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{ '<start_of_turn>model
+' }}
+{%- endif -%}

config.json

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+{
+  "_sliding_window_pattern": 6,
+  "architectures": [
+    "Gemma3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": null,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "final_logit_softcapping": null,
+  "head_dim": 256,
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 640,
+  "initializer_range": 0.02,
+  "intermediate_size": 2048,
+  "layer_types": [
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "model_type": "gemma3_text",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 18,
+  "num_key_value_heads": 1,
+  "pad_token_id": 0,
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_local_base_freq": 10000.0,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": 512,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.55.4",
+  "use_bidirectional_attention": false,
+  "use_cache": true,
+  "vocab_size": 262144
+}

generation_config.json

@@ -0,0 +1,11 @@
+{
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "do_sample": true,
+  "eos_token_id": 1,
+  "max_length": 32768,
+  "pad_token_id": 0,
+  "top_k": 64,
+  "top_p": 0.95,
+  "transformers_version": "4.55.4"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:00c2a8ace3536fba54cfd520c09b949aa5b273c4ac07049996d7d69d53a66617
+size 536223056

special_tokens_map.json

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+{
+  "boi_token": "<start_of_image>",
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eoi_token": "<end_of_image>",
+  "eos_token": {
+    "content": "<eos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "image_token": "<image_soft_token>",
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
+size 33384568

tokenizer.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
+size 4689074