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Duplicate from OpenLLM-France/Lucie-7B-Instruct

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Co-authored-by: Julie Hunter <[email protected]>

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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:d41d59729e4e0e21d6bbb41b6d146643cbe46cd49d849fbef8eb9d318255f883
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+ size 4068731936
Modelfile ADDED
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1
+ # Modelfile to be used with "ollama"
2
+ # adapt "./Lucie-7B-q4_k_m.gguf" with the path where you copy the GGUF file of Lucie-7B-Instruct-v1 model
3
+
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+ FROM ./Lucie-7B-q4_k_m.gguf
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+ PARAMETER seed 1234
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+ PARAMETER num_ctx 32000
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+ PARAMETER temperature 0.6
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+ TEMPLATE """{{ if .System }}<|start_header_id|>system<|end_header_id|>
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+
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+ {{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
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+
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+ {{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
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+
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+ {{ .Response }}<|eot_id|>"""
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+ PARAMETER stop "<|start_header_id|>"
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+ PARAMETER stop "<|end_header_id|>"
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+ PARAMETER stop "<|eot_id|>"
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+ PARAMETER stop "</s>"
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+ PARAMETER stop "<s>"
20
+ LICENSE "
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+ Apache License
22
+ Version 2.0, January 2004
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+ http://www.apache.org/licenses/
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+
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+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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+
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+ 1. Definitions.
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+
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+ “License” shall mean the terms and conditions for use, reproduction,
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+ and distribution as defined by Sections 1 through 9 of this document.
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+ “Licensor” shall mean the copyright owner or entity authorized by
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+ the copyright owner that is granting the License.
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+
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+ “Legal Entity” shall mean the union of the acting entity and all
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+ other entities that control, are controlled by, or are under common
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+ control with that entity. For the purposes of this definition,
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+ “control” means (i) the power, direct or indirect, to cause the
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+ direction or management of such entity, whether by contract or
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+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
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+ outstanding shares, or (iii) beneficial ownership of such entity.
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+ “Object” form shall mean any form resulting from mechanical
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+ “Work” shall mean the work of authorship, whether in Source or
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+ “Derivative Works” shall mean any work, whether in Source or Object
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+ editorial revisions, annotations, elaborations, or other modifications
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+ represent, as a whole, an original work of authorship. For the purposes
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+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
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+ copyright license to reproduce, prepare Derivative Works of,
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+ publicly display, publicly perform, sublicense, and distribute the
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+ 3. Grant of Patent License. Subject to the terms and conditions of
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+ this License, each Contributor hereby grants to You a perpetual,
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+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
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+ (except as stated in this section) patent license to make, have made,
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+ where such license applies only to those patent claims licensable
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+ cross-claim or counterclaim in a lawsuit) alleging that the Work
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+ 7. Disclaimer of Warranty. Unless required by applicable law or
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+ PARTICULAR PURPOSE. You are solely responsible for determining the
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README.md ADDED
@@ -0,0 +1,177 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ datasets:
4
+ - yahma/alpaca-cleaned
5
+ - cmh/alpaca_data_cleaned_fr_52k
6
+ - Magpie-Align/Magpie-Gemma2-Pro-200K-Filtered
7
+ - allenai/WildChat-1M
8
+ language:
9
+ - fr
10
+ - en
11
+ base_model:
12
+ - OpenLLM-France/Lucie-7B
13
+ pipeline_tag: text-generation
14
+ ---
15
+
16
+ # Model Card for Lucie-7B-Instruct
17
+
18
+ * [Model Description](#model-description)
19
+ <!-- * [Uses](#uses) -->
20
+ * [Training Details](#training-details)
21
+ * [Training Data](#training-data)
22
+ * [Preprocessing](#preprocessing)
23
+ * [Training Procedure](#training-procedure)
24
+ <!-- * [Evaluation](#evaluation) -->
25
+ * [Testing the model](#testing-the-model)
26
+ * [Test with ollama](#test-with-ollama)
27
+ * [Test with vLLM](#test-with-vllm)
28
+ * [Citation](#citation)
29
+ * [Acknowledgements](#acknowledgements)
30
+ * [Contact](#contact)
31
+
32
+ ## Model Description
33
+
34
+ Lucie-7B-Instruct is a fine-tuned version of [Lucie-7B](), an open-source, multilingual causal language model created by OpenLLM-France.
35
+
36
+ Lucie-7B-Instruct is fine-tuned on synthetic instructions produced by ChatGPT and Gemma and a small set of customized prompts about OpenLLM and Lucie.
37
+
38
+
39
+
40
+
41
+ ## Training details
42
+
43
+ ### Training data
44
+
45
+ Lucie-7B-Instruct is trained on the following datasets:
46
+ * [Alpaca-cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned) (English; 51604 samples)
47
+ * [Alpaca-cleaned-fr](https://huggingface.co/datasets/cmh/alpaca_data_cleaned_fr_52k) (French; 51655 samples)
48
+ * [Magpie-Gemma](https://huggingface.co/datasets/Magpie-Align/Magpie-Gemma2-Pro-200K-Filtered) (English; 195167 samples)
49
+ * [Wildchat](https://huggingface.co/datasets/allenai/WildChat-1M) (French subset; 26436 samples)
50
+ * Hard-coded prompts concerning OpenLLM and Lucie (based on [allenai/tulu-3-hard-coded-10x](https://huggingface.co/datasets/allenai/tulu-3-hard-coded-10x))
51
+ * French: openllm_french.jsonl (24x10 samples)
52
+ * English: openllm_english.jsonl (24x10 samples)
53
+
54
+
55
+ ### Preprocessing
56
+ * Filtering by language: Magpie-Gemma and Wildchat were filtered to keep only English and French samples, respectively.
57
+ * Filtering by keyword: Examples containing assistant responses were filtered out from the four synthetic datasets if the responses contained a keyword from the list [filter_strings](https://github.com/OpenLLM-France/Lucie-Training/blob/98792a1a9015dcf613ff951b1ce6145ca8ecb174/tokenization/data.py#L2012). This filter is designed to remove examples in which the assistant is presented as model other than Lucie (e.g., ChatGPT, Gemma, Llama, ...).
58
+
59
+
60
+
61
+ ### Training procedure
62
+
63
+ The model architecture and hyperparameters are the same as for [Lucie-7B](https://huggingface.co/OpenLLM-France/Lucie-7B) during the annealing phase with the following exceptions:
64
+ * context length: 4096
65
+ * batch size: 1024
66
+ * max learning rate: 3e-5
67
+ * min learning rate: 3e-6
68
+
69
+
70
+ ## Testing the model
71
+
72
+ ### Test with ollama
73
+
74
+ * Download and install [Ollama](https://ollama.com/download)
75
+ * Download the [GGUF model](https://huggingface.co/OpenLLM-France/Lucie-7B-Instruct/resolve/main/Lucie-7B-q4_k_m.gguf)
76
+ * Copy the [`Modelfile`](Modelfile), adpating if necessary the path to the GGUF file (line starting with `FROM`).
77
+ * Run in a shell:
78
+ * `ollama create -f Modelfile Lucie`
79
+ * `ollama run Lucie`
80
+ * Once ">>>" appears, type your prompt(s) and press Enter.
81
+ * Optionally, restart a conversation by typing "`/clear`"
82
+ * End the session by typing "`/bye`".
83
+
84
+ Useful for debug:
85
+ * [How to print input requests and output responses in Ollama server?](https://stackoverflow.com/a/78831840)
86
+ * [Documentation on Modelfile](https://github.com/ollama/ollama/blob/main/docs/modelfile.md#parameter)
87
+ * Examples: [Ollama model library](https://github.com/ollama/ollama#model-library)
88
+ * Llama 3 example: https://ollama.com/library/llama3.1
89
+ * Add GUI : https://docs.openwebui.com/
90
+
91
+ ### Test with vLLM
92
+
93
+ #### 1. Run vLLM Docker Container
94
+
95
+ Use the following command to deploy the model,
96
+ replacing `INSERT_YOUR_HF_TOKEN` with your Hugging Face Hub token.
97
+
98
+ ```bash
99
+ docker run --runtime nvidia --gpus=all \
100
+ --env "HUGGING_FACE_HUB_TOKEN=INSERT_YOUR_HF_TOKEN" \
101
+ -p 8000:8000 \
102
+ --ipc=host \
103
+ vllm/vllm-openai:latest \
104
+ --model OpenLLM-France/Lucie-7B-Instruct
105
+ ```
106
+
107
+ #### 2. Test using OpenAI Client in Python
108
+
109
+ To test the deployed model, use the OpenAI Python client as follows:
110
+
111
+ ```python
112
+ from openai import OpenAI
113
+
114
+ # Initialize the client
115
+ client = OpenAI(base_url='http://localhost:8000/v1', api_key='empty')
116
+
117
+ # Define the input content
118
+ content = "Hello Lucie"
119
+
120
+ # Generate a response
121
+ chat_response = client.chat.completions.create(
122
+ model="OpenLLM-France/Lucie-7B-Instruct",
123
+ messages=[
124
+ {"role": "user", "content": content}
125
+ ],
126
+ )
127
+ print(chat_response.choices[0].message.content)
128
+ ```
129
+
130
+ ## Citation
131
+
132
+ When using the Lucie-7B-Instruct model, please cite the following paper:
133
+
134
+ ✍ Olivier Gouvert, Julie Hunter, Jérôme Louradour,
135
+ Evan Dufraisse, Yaya Sy, Pierre-Carl Langlais, Anastasia Stasenko,
136
+ Laura Rivière, Christophe Cerisara, Jean-Pierre Lorré (2025)
137
+ Lucie-7B LLM and its training dataset
138
+ ```bibtex
139
+ @misc{openllm2023claire,
140
+ title={The Lucie-7B LLM and the Lucie Training Dataset:
141
+ open resources for multilingual language generation},
142
+ author={Olivier Gouvert and Julie Hunter and Jérôme Louradour and Evan Dufraisse and Yaya Sy and Pierre-Carl Langlais and Anastasia Stasenko and Laura Rivière and Christophe Cerisara and Jean-Pierre Lorré},
143
+ year={2025},
144
+ archivePrefix={arXiv},
145
+ primaryClass={cs.CL}
146
+ }
147
+ ```
148
+
149
+
150
+ ## Acknowledgements
151
+
152
+ This work was performed using HPC resources from GENCI–IDRIS (Grant 2024-GC011015444).
153
+
154
+ Lucie-7B was created by members of [LINAGORA](https://labs.linagora.com/) and the [OpenLLM-France](https://www.openllm-france.fr/) community, including in alphabetical order:
155
+ Olivier Gouvert (LINAGORA),
156
+ Ismaïl Harrando (LINAGORA/SciencesPo),
157
+ Julie Hunter (LINAGORA),
158
+ Jean-Pierre Lorré (LINAGORA),
159
+ Jérôme Louradour (LINAGORA),
160
+ Michel-Marie Maudet (LINAGORA), and
161
+ Laura Rivière (LINAGORA).
162
+
163
+
164
+ We thank
165
+ Clément Bénesse (Opsci),
166
+ Christophe Cerisara (LORIA),
167
+ Evan Dufraisse (CEA),
168
+ Guokan Shang (MBZUAI),
169
+ Joël Gombin (Opsci),
170
+ Jordan Ricker (Opsci),
171
+ and
172
+ Olivier Ferret (CEA)
173
+ for their helpful input.
174
+
175
+ ## Contact
176
+
177
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openllm_english.jsonl ADDED
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openllm_french.jsonl ADDED
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special_tokens_map.json ADDED
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+ {
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ "add_bos_token": true,
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+ "unk_token": "<unk>",
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+ "chat_template": "{{- bos_token }}\n{%- for message in messages %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}\n{%- endif %}"
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+ }