Add links to dataset and code

README.md

@@ -40,6 +40,8 @@ inference:
 **Claire-7B-0.1 is a 7B parameter causal decoder-only model built by [LINAGORA](https://labs.linagora.com/) and [OpenLLM-France](https://github.com/OpenLLM-France)**
 **adapted from [Falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on French conversational data.**
 
+Quantized versions in GGUF format can be found in [TheBloke/Claire-7B-0.1-GGUF](https://huggingface.co/TheBloke/Claire-7B-0.1-GGUF).
+
 Claire-7B-0.1 is a pretrained language model designed to be attuned to the dynamics of linguistic interactions in dialogue. Without further training, its expected use is to generate continuations of dialogues. Its main purpose is to serve as a base model for fine-tuning on dialogue generation (e.g., chat) and dialogue understanding (e.g., meeting summarization) tasks. Please note that due to its training, the model is prone to generate dialogues with disfluencies and other constructions common to spoken language.
 
 * [Typical usage](#typical-usage)
@@ -138,7 +140,7 @@ prompt = """\
 
 ### Training Data
 
-The training dataset will be made available soon.
+The training dataset is available at [OpenLLM-France/Claire-Dialogue-French-0.1](https://huggingface.co/datasets/OpenLLM-France/Claire-Dialogue-French-0.1).
 
 Claire-7B-0.1 was tuned from Falcon-7b on the following data distribution:
 
@@ -146,10 +148,10 @@ Claire-7B-0.1 was tuned from Falcon-7b on the following data distribution:
 |-------------------------------|------------|------------------------------|-----------------------------------------------------|
 | Parliamentary Proceedings     | 135M       | 35%                          | Assemblée Nationale                                 |
 | Theatre                       |  16M       | 18%                          | Théâtre Classique, Théâtre Gratuit                  |
-| Interviews                    |   6.4M     | 29%                          | TCOF, CFPP, CFPB, ACSYNT, PFC, Valibel (ORFEO), ESLO|
+| Interviews                    |   6.4M     | 29%                          | TCOF, CFPP, CFPB (ORFEO), ACSYNT, PFC, Valibel (ORFEO), ESLO|
 | Free Conversations            |   2.2M     | 10%                          | CRFP (ORFEO), OFROM (ORFEO), CID, Rhapsodie, ParisStories, PFC, CLAPI, C-ORAL-ROM (ORFEO), LinTO, ESLO |
 | Meetings                      |   1.2M     |  5%                          | SUMM-RE, LinTO, Réunions de travail (ORFEO)         |
-| Debates                       |   402k     | <2%                          | FreDSum, ESLO                                       |
+| Debates                       |   402k     | <2%                          | FREDSum, ESLO                                       |
 | Assistance                    |   159k     | <1%                          | Fleuron (ORFEO), Accueil UBS, OTG, ESLO             |
 | Presentation, Formal Address  |    86k     | <0.5%                        | Valibel (ORFEO), LinTO, ESLO                        |
 
@@ -165,7 +167,7 @@ While the model has been trained and evaluated only on French dialogues, it may
 
 ### Training Procedure 
 
-The training code will be made available soon.
+The training code is available at [https://github.com/OpenLLM-France/Lit-Claire](https://github.com/OpenLLM-France/Lit-Claire).
 
 Claire-7B-0.1 is a causal decoder-only model trained on a causal language modeling task (i.e., predict the next token).
 See [Falcon-7b](https://huggingface.co/tiiuae/falcon-7b) for more details.