Upload fine-tuned Deleuze model
Browse files- .gitattributes +1 -0
- Modelfile +11 -0
- README.md +88 -0
- config.json +30 -0
- generation_config.json +9 -0
- model.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +3 -0
- tokenizer_config.json +197 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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# ollama modelfile auto-generated by llamafactory
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FROM .
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TEMPLATE """{{ if .System }}System: {{ .System }}
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{{ end }}{{ range .Messages }}{{ if eq .Role "user" }}Human: {{ .Content }}
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Assistant:{{ else if eq .Role "assistant" }}{{ .Content }}<|end▁of▁sentence|>
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{{ end }}{{ end }}"""
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PARAMETER stop "<|end▁of▁sentence|>"
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PARAMETER num_ctx 4096
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README.md
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# Deleuze-Qwen-1.5B
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A fine-tuned language model specialized in the philosophy of Gilles Deleuze, based on DeepSeek-R1-Distill-Qwen-1.5B.
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## Model Description
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This model was fine-tuned on a corpus of Gilles Deleuze's philosophical works using LoRA (Low-Rank Adaptation) to specialize it in understanding and generating content related to Deleuzian concepts and philosophy.
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### Base Model
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- **Name**: DeepSeek-R1-Distill-Qwen-1.5B
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- **Type**: Causal Language Model
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- **Size**: 1.5 billion parameters
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### Training Data
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The model was trained on a dataset compiled from various books and texts by Gilles Deleuze, including:
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- A Thousand Plateaus
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- Difference and Repetition
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- Logic of Sense
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- Anti-Oedipus
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- Cinema 1 & 2
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- And other philosophical works
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### Training Procedure
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- **Method**: LoRA fine-tuning
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- **LoRA Parameters**:
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- Rank: 64
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- Alpha: 128
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- Dropout: 0.05
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- Target modules: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
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- **Training Parameters**:
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- Learning rate: 5.0e-5
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- Epochs: 3
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- Batch size: 2 (with gradient accumulation steps: 4)
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- Sequence length: 2048
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- Optimizer: AdamW
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- LR scheduler: Cosine
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## Intended Use
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This model is intended for:
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- Research on Deleuze's philosophy
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- Generating explanations of Deleuzian concepts
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- Exploring philosophical ideas through the lens of Deleuze's work
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- Educational purposes related to continental philosophy
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## Limitations
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- The model may occasionally generate content that sounds plausible but is philosophically inaccurate
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- It has limited knowledge of philosophical works published after its training data cutoff
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- The model may struggle with very specific or obscure references in Deleuze's work
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- As with all language models, it may exhibit biases present in the training data
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## Example Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Load model and tokenizer
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model = AutoModelForCausalLM.from_pretrained("wisdomfunction/deleuze-qwen-1.5b")
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tokenizer = AutoTokenizer.from_pretrained("wisdomfunction/deleuze-qwen-1.5b")
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# Example prompt
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prompt = "What are the key concepts in Deleuze's philosophy?"
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inputs = tokenizer(prompt, return_tensors="pt")
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# Generate response
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outputs = model.generate(**inputs, max_new_tokens=512, do_sample=True, temperature=0.7)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(response)
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```
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## Citation
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If you use this model in your research, please cite:
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```
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@misc{deleuze-qwen-1.5b,
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author = {wisdomfunction},
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title = {Deleuze-Qwen-1.5B: A Fine-tuned Language Model for Deleuzian Philosophy},
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year = {2025},
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publisher = {Hugging Face},
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howpublished = {\url{https://huggingface.co/wisdomfunction/deleuze-qwen-1.5b}}
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}
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```
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config.json
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{
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"_name_or_path": "deepseek-ai/deepseek-r1-distill-qwen-1.5b",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"max_window_layers": 21,
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"model_type": "qwen2",
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"num_key_value_heads": 2,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 10000,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.49.0",
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"use_cache": true,
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"use_mrope": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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"temperature": 0.6,
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 3554214752
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special_tokens_map.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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size 11422778
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tokenizer_config.json
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111 |
+
"content": "<|video_pad|>",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": false,
|
114 |
+
"rstrip": false,
|
115 |
+
"single_word": false,
|
116 |
+
"special": true
|
117 |
+
},
|
118 |
+
"151657": {
|
119 |
+
"content": "<tool_call>",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": false,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false,
|
124 |
+
"special": false
|
125 |
+
},
|
126 |
+
"151658": {
|
127 |
+
"content": "</tool_call>",
|
128 |
+
"lstrip": false,
|
129 |
+
"normalized": false,
|
130 |
+
"rstrip": false,
|
131 |
+
"single_word": false,
|
132 |
+
"special": false
|
133 |
+
},
|
134 |
+
"151659": {
|
135 |
+
"content": "<|fim_prefix|>",
|
136 |
+
"lstrip": false,
|
137 |
+
"normalized": false,
|
138 |
+
"rstrip": false,
|
139 |
+
"single_word": false,
|
140 |
+
"special": false
|
141 |
+
},
|
142 |
+
"151660": {
|
143 |
+
"content": "<|fim_middle|>",
|
144 |
+
"lstrip": false,
|
145 |
+
"normalized": false,
|
146 |
+
"rstrip": false,
|
147 |
+
"single_word": false,
|
148 |
+
"special": false
|
149 |
+
},
|
150 |
+
"151661": {
|
151 |
+
"content": "<|fim_suffix|>",
|
152 |
+
"lstrip": false,
|
153 |
+
"normalized": false,
|
154 |
+
"rstrip": false,
|
155 |
+
"single_word": false,
|
156 |
+
"special": false
|
157 |
+
},
|
158 |
+
"151662": {
|
159 |
+
"content": "<|fim_pad|>",
|
160 |
+
"lstrip": false,
|
161 |
+
"normalized": false,
|
162 |
+
"rstrip": false,
|
163 |
+
"single_word": false,
|
164 |
+
"special": false
|
165 |
+
},
|
166 |
+
"151663": {
|
167 |
+
"content": "<|repo_name|>",
|
168 |
+
"lstrip": false,
|
169 |
+
"normalized": false,
|
170 |
+
"rstrip": false,
|
171 |
+
"single_word": false,
|
172 |
+
"special": false
|
173 |
+
},
|
174 |
+
"151664": {
|
175 |
+
"content": "<|file_sep|>",
|
176 |
+
"lstrip": false,
|
177 |
+
"normalized": false,
|
178 |
+
"rstrip": false,
|
179 |
+
"single_word": false,
|
180 |
+
"special": false
|
181 |
+
}
|
182 |
+
},
|
183 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
184 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin��>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|><think>\\n'}}{% endif %}",
|
185 |
+
"clean_up_tokenization_spaces": false,
|
186 |
+
"eos_token": "<|end▁of▁sentence|>",
|
187 |
+
"extra_special_tokens": {},
|
188 |
+
"legacy": true,
|
189 |
+
"model_max_length": 2048,
|
190 |
+
"pad_token": "<|end▁of▁sentence|>",
|
191 |
+
"padding_side": "left",
|
192 |
+
"sp_model_kwargs": {},
|
193 |
+
"split_special_tokens": false,
|
194 |
+
"tokenizer_class": "LlamaTokenizerFast",
|
195 |
+
"unk_token": null,
|
196 |
+
"use_default_system_prompt": false
|
197 |
+
}
|