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Model: MaziyarPanahi/calme-2.3-legalkit-8b Source: Original Platform
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README.md
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---
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language:
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- fr
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- en
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pipeline_tag: text-generation
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tags:
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- chat
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- llama
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- llama3
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- llama3.1
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- finetune
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- legal
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- legalkit
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library_name: transformers
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inference: false
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model_creator: MaziyarPanahi
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quantized_by: MaziyarPanahi
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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model_name: calme-2.3-legalkit-8b
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datasets:
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- MaziyarPanahi/calme-legalkit-v0.1
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license: llama3.1
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---
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<img src="./calme-2-legalkit.webp" alt="Calme-2 Models" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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# MaziyarPanahi/calme-2.3-legalkit-8b
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This model is an advanced iteration of the powerful `meta-llama/Meta-Llama-3.1-8B-Instruct`, specifically fine-tuned to enhance its capabilities in the legal domain. The fine-tuning process utilized a synthetically generated dataset derived from the French [LegalKit](https://huggingface.co/datasets/louisbrulenaudet/legalkit), a comprehensive legal language resource.
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To create this specialized dataset, I used the `NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO` model in conjunction with Hugging Face's Inference Endpoint. This approach allowed for the generation of high-quality, synthetic data that incorporates Chain of Thought (CoT) and advanced reasoning in its responses.
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The resulting model combines the robust foundation of `Llama-3.1-8B` with tailored legal knowledge and enhanced reasoning capabilities. This makes it particularly well-suited for tasks requiring in-depth legal analysis, interpretation, and application of French legal concepts.
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# ⚡ Quantized GGUF
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All GGUF models are available here: [MaziyarPanahi/calme-2.3-legalkit-8b-GGUF](https://huggingface.co/MaziyarPanahi/calme-2.3-legalkit-8b-GGUF)
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# 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Leaderboard 2 coming soon!
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## TruthfulQA:
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```
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| Tasks |Version|Filter|n-shot|Metric|Value | |Stderr|
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|--------------|------:|------|-----:|------|-----:|---|-----:|
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|truthfulqa_mc2| 2|none | 0|acc |0.5481|± |0.0152|
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```
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## WinoGrande:
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```
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| Tasks |Version|Filter|n-shot|Metric|Value | |Stderr|
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|----------|------:|------|-----:|------|-----:|---|-----:|
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|winogrande| 1|none | 5|acc |0.7758|± |0.0117|
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```
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## ARC (Challenge) :
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```
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| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
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|-------------|------:|------|-----:|--------|-----:|---|-----:|
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|arc_challenge| 1|none | 25|acc |0.5666|± |0.0145|
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| | |none | 25|acc_norm|0.6101|± |0.0143|
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```
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## GSM8K:
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```
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|Tasks|Version| Filter |n-shot| Metric |Value| |Stderr|
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|-----|------:|----------------|-----:|-----------|----:|---|-----:|
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|gsm8k| 3|strict-match | 5|exact_match|0.771|± |0.0116|
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| | |flexible-extract| 5|exact_match|0.771|± |0.0116|
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```
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# Prompt Template
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This model uses `ChatML` prompt template:
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```
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
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{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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````
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# Example
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```
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<|begin_of_text|><|begin_of_text|><|start_header_id|>user<|end_header_id|>
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Quelles sont les modalités d'utilisation d'un contingent annuel d'heures supplémentaires et de son éventuel dépassement qui sont soumises à consultation du comité social et économique au moins une fois par an en l'absence d'accord?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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Pour répondre à la question posée, nous allons examiner le texte du Code du travail, article L3121-44, et analyser les informations données étape par étape. Nous chercherons à comprendre les modalités d'utilisation d'un contingent annuel d'heures supplémentaires et de son éventuel dépassement qui sont soumises à consultation du comité social et économique au moins une fois par an en l'absence d'accord.
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### Analyse de l'Article L3121-44 du Code du Travail
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1. **Texte de l'Article L3121-44** :
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"A défaut d'accord prévu à l'article L. 3121-42, les modalités d'utilisation du contingent annuel d'heures supplémentaires ainsi que celles relatives à son dépassement mentionnées aux articles L. 3121-37 à L. 3121-40 font l'objet d'une consultation du comité social et économique au moins une fois par an."
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2. **Explication par Éléments** :
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- **Absence d'Accord** :
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L'article indique qu'en l'absence d'un accord entre l'employeur et les représentants des salariés (comme prévu à l'article L. 3121-42), certaines règles s'appliquent.
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- **Contingent Annuel d'Heures Supplémentaires** :
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Le contingent annuel d'heures supplémentaires est un nombre d'heures supplémentaires que les employeurs peuvent demander à leurs salariés de travailler au-delà de leur temps de travail réglementaire, sans que cela soit considéré comme du travail excessif.
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- **Modalités d'Utilisation et Dépassement** :
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Les modalités d'utilisation du contingent annuel d'heures supplémentaires et celles relatives à son dépassement sont définies dans les articles L. 3121-37 à L. 3121-40 du Code du travail.
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- **Consultation du Comité Social et Économique** :
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En l'absence d'accord, ces modalités doivent être soumises à la consultation du comité social et économique (CSE) au moins une fois par an. Le CSE est une instance représentative du personnel qui a pour mission de participer à la gestion des affaires sociales et économiques de l'entreprise.
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### Réponse Basée sur l'Analyse
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En l'absence d'accord entre l'employeur et les représentants des salariés concernant les modalités d'utilisation d'un contingent annuel d'heures supplémentaires et de son éventuel dépassement, ces modalités doivent être soumises à la consultation du comité social et économique (CSE) au moins une fois par an. Ces modalités sont définies dans les articles L. 3121-37 à L. 3121-40 du Code du travail.
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### Justification et Conclusion
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Cette réponse est cohérente avec l'entrée fournie. Elle explique clairement les conséquences d'un manque d'accord entre les parties concernées et souligne l'importance de la consultation du comité social et économique dans ce contexte. En utilisant l'article L3121-44 comme base, nous avons développé une compréhension claire et complète des obligations légales en matière de consultation du CSE en l'absence d'accord sur les heures supplémentaires et leur dépassement.<|eot_id|>
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```
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# How to use
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```python
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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messages = [
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{"role": "user", "content": "Who are you?"},
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]
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pipe = pipeline("text-generation", model="MaziyarPanahi/calme-2.3-legalkit-8b")
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pipe(messages)
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-2.3-legalkit-8b")
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model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.3-legalkit-8b")
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```
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# Ethical Considerations
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As with any large language model, users should be aware of potential biases and limitations. We recommend implementing appropriate safeguards and human oversight when deploying this model in production environments.
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calme-2-legalkit.webp
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config.json
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{
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"_name_or_path": "meta-llama/Meta-Llama-3.1-8B-Instruct",
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"architectures": [
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"LlamaForCausalLM"
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],
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"rope_type": "llama3"
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"torch_dtype": "bfloat16",
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"transformers_version": "4.43.1",
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"use_cache": false,
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"vocab_size": 128256
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}
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"transformers_version": "4.43.1"
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}
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|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
410563
tokenizer.json
Normal file
410563
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user