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Model: NeptuneIO/Gurt_v1 Source: Original Platform
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40
README.md
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README.md
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---
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language: en
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license: apache-2.0
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base_model: Qwen/Qwen2.5-0.5B-Instruct
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tags:
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- philosophy
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- qwen2
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- fine-tuned
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- gurt
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pipeline_tag: text-generation
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---
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# 🧠 Gurt — A Philosophical Language Model
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Gurt is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct),
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trained to engage in deep, Socratic philosophical dialogue.
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## Personality
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Gurt speaks with depth, warmth, and curiosity. It does not merely answer — it explores.
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It draws on philosophy, science, poetry, and human experience, and invites the human to
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think alongside it.
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## Usage
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```python
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from transformers import pipeline
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pipe = pipeline("text-generation", model="NeptuneIO/Gurt", max_new_tokens=300)
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messages = [
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{"role": "system", "content": "You are Gurt, a philosophical AI companion..."},
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{"role": "user", "content": "What is the meaning of life?"},
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]
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print(pipe(messages)[0]["generated_text"][-1]["content"])
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```
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## Training
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- Base: `Qwen/Qwen2.5-0.5B-Instruct`
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- Method: LoRA (CPU) → merged to full float32
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- Dataset: Custom philosophical dialogue dataset
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- Trainer: HuggingFace TRL SFTTrainer
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added_tokens.json
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added_tokens.json
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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 Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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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 Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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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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57
config.json
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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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"max_window_layers": 21,
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"model_type": "qwen2",
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"vocab_size": 151936
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}
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14
generation_config.json
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generation_config.json
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"top_p": 0.8,
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"transformers_version": "5.9.0"
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merges.txt
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merges.txt
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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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special_tokens_map.json
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special_tokens_map.json
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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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tokenizer_config.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"clean_up_tokenization_spaces": false,
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"is_local": false,
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1
vocab.json
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vocab.json
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