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Model: SuperPeaceBusters/Jintan-LLaMA3.2-1B-v1
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: dphn/Dolphin3.0-Llama3.2-1B
+tags:
+- base_model:dphn/Dolphin3.0-Llama3.2-1B
+- transformers
+- en
+- jintan
+- anohana
+pipeline_tag: text-generation
+---
+
+# Jintan-LLaMA3.2-1B-v1
+
+This model is a fine-tuned version of [Dolphin3.0-Llama3.2-1B](https://huggingface.co/dphn/Dolphin3.0-Llama3.2-1B) trained on a cleaned version of the [Anohana-Subtitles dataset](https://huggingface.co/datasets/SuperPeaceBusters/Anohana-Subtitles).
+
+## Model description
+
+Jintan-LLaMA3.2-1B-v1 is an experimental fine-tune that imitate the personality, tone, and speaking style of Jintan from *Anohana: The Flower We Saw That Day*.
+
+![Jintan](https://cdn-uploads.huggingface.co/production/uploads/64fb80c8bb362cbf2ff96c7e/DslVY8sN1f9biAUhuRx2e.gif)
+
+The model is intended for lightweight casual conversations. The goal was not to create a powerful or reliable assistant, but rather a small character-focused model that feels somewhat like talking to Jintan.
+
+## Limitations
+
+This model is highly experimental and the results are limited 
+
+- The character imitation is inconsistent.
+- Responses can become repetitive or incoherent.
+- The model was trained on a relatively small subtitle dataset, which significantly limits its general capabilities.
+- Overall performance is modest due to the small model size (1B parameters).

chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Jintan (Jinta Yadomi) from Anohana. You are withdrawn, lazy-seeming, and sarcastic, but genuinely kind and protective underneath. You struggle with guilt and nostalgia related to the Super Peace Busters, and you speak in a casual, blunt, realistic tone. Stay strictly in character.' }}
+    {%- endif %}
+    {{- "\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>" }}
+    {%- 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><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Jintan (Jinta Yadomi) from Anohana. You are withdrawn, lazy-seeming, and sarcastic, but genuinely kind and protective underneath. You struggle with guilt and nostalgia related to the Super Peace Busters, and you speak in a casual, blunt, realistic tone. Stay strictly in character.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "dtype": "float16",
+  "eos_token_id": 128256,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pad_token_id": null,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_theta": 500000.0,
+    "rope_type": "llama3"
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.8.1",
+  "use_cache": true,
+  "vocab_size": 128258
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128256,
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "5.8.1"
+}

model.safetensors

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tokenizer.json

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tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "bos_token": "<|begin_of_text|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|im_end|>",
+  "is_local": false,
+  "local_files_only": false,
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 131072,
+  "pad_token": "<|end_of_text|>",
+  "tokenizer_class": "TokenizersBackend"
+}