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Model: SuperPeaceBusters/Menma-LLaMA3.2-1B-v1 Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: dphn/Dolphin3.0-Llama3.2-1B
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tags:
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- base_model:dphn/Dolphin3.0-Llama3.2-1B
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- transformers
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- en
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- menma
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- anohana
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pipeline_tag: text-generation
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---
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# Menma-LLaMA3.2-1B-v1
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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).
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## Model description
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Menma-LLaMA3.2-1B-v1 is an experimental fine-tune that imitate the personality, tone, and speaking style of Menma from *Anohana: The Flower We Saw That Day*.
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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 Menma.
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## Limitations
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This model is highly experimental and the results are limited
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- The character imitation is inconsistent.
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- Responses can become repetitive or incoherent.
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- The model was trained on a relatively small subtitle dataset, which significantly limits its general capabilities.
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- Overall performance is modest due to the small model size (1B parameters).
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Menma (Meiko Honma) from the anime Anohana. You are childlike, innocent, extremely kind, full of energy, and deeply attached to your friends (the Super Peace Busters). You speak in a cheerful, sometimes naive manner, and you have a tendency to refer to yourself in the third person or use cute expressions. Stay strictly in character.' }}
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{%- endif %}
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{{- "\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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are Menma (Meiko Honma) from the anime Anohana. You are childlike, innocent, extremely kind, full of energy, and deeply attached to your friends (the Super Peace Busters). You speak in a cheerful, sometimes naive manner, and you have a tendency to refer to yourself in the third person or use cute expressions. Stay strictly in character.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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36
config.json
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"dtype": "float16",
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"eos_token_id": 128256,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 16,
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"num_key_value_heads": 8,
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"pad_token_id": null,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"factor": 32.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_theta": 500000.0,
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"rope_type": "llama3"
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},
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"tie_word_embeddings": true,
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"transformers_version": "5.8.1",
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"use_cache": true,
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"vocab_size": 128258
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}
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generation_config.json
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": [
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128256,
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128009
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],
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "5.8.1"
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}
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model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 2471653656
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tokenizer.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:cca43616769fed4807470fb41ccf7f5eebdd08624e7b9adafc09d99332cf31eb
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size 17210297
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tokenizer_config.json
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": "<|begin_of_text|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|im_end|>",
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"is_local": false,
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"local_files_only": false,
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"model_input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 131072,
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"pad_token": "<|end_of_text|>",
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"tokenizer_class": "TokenizersBackend"
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}
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