Update README.md

README.md

@@ -16,14 +16,14 @@ inference: false
 model_creator: MaziyarPanahi
 quantized_by: MaziyarPanahi
 base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
-model_name: calme-2.1-legalkit-8b
+model_name: calme-2.3-legalkit-8b
 datasets:
 - MaziyarPanahi/legalkit_cot_reasoning_nous_hermes
 ---
 
 <img src="./calme-2-legalkit.webp" alt="Calme-2 Models" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
 
-# MaziyarPanahi/calme-2.1-legalkit-8b
+# MaziyarPanahi/calme-2.3-legalkit-8b
 
 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.
 
@@ -34,7 +34,7 @@ The resulting model combines the robust foundation of `Llama-3.1-8B` with tailor
 
 # ⚡ Quantized GGUF
 
-All GGUF models are available here: [MaziyarPanahi/calme-2.1-legalkit-8b-GGUF](https://huggingface.co/MaziyarPanahi/calme-2.1-legalkit-8b-GGUF)
+All GGUF models are available here: [MaziyarPanahi/calme-2.3-legalkit-8b-GGUF](https://huggingface.co/MaziyarPanahi/calme-2.3-legalkit-8b-GGUF)
 
 
 # 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
@@ -138,7 +138,7 @@ from transformers import pipeline
 messages = [
     {"role": "user", "content": "Who are you?"},
 ]
-pipe = pipeline("text-generation", model="MaziyarPanahi/calme-2.1-legalkit-8b")
+pipe = pipeline("text-generation", model="MaziyarPanahi/calme-2.3-legalkit-8b")
 pipe(messages)
 
 
@@ -146,8 +146,8 @@ pipe(messages)
 
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-2.1-legalkit-8b")
-model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.1-legalkit-8b")
+tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-2.3-legalkit-8b")
+model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.3-legalkit-8b")
 ```