Update README.md

README.md

@@ -6,6 +6,7 @@ language:
   - "en"  # English
 tags:
   - "llama"
+  - "notram"
   - "norwegian"
   - "bokmål"
   - "nynorsk"
@@ -18,16 +19,16 @@ base_model: "meta-llama/Llama-3.2-3B-Instruct"
 library_name: "transformers"
 ---
 
-## Model Card: "NB-Llama-3.2-3B-Instruct"
+## Model Card: "nb-notram-llama-3.2-3b-instruct"
 
 ### Model overview
 
-"NB-Llama-3.2-3B-Instruct" is part of the "NB-Llama-3.x" series (covering "Llama 3.1", "Llama 3.2", and "Llama 3.3" based releases), trained on top of Meta’s "Llama-3.2-3B-Instruct":
+"NbAiLab/nb-notram-llama-3.2-3b-instruct" is part of the "NB-Llama-3.x" series (covering "Llama 3.1", "Llama 3.2", and "Llama 3.3" based releases) and the "NoTraM" line of work, trained on top of Meta’s "Llama-3.2-3B-Instruct":
 https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct
 
 The model is fine-tuned to improve instruction-following behavior in Norwegian Bokmål and Norwegian Nynorsk, while aiming to preserve strong English performance. (It may also handle some Swedish and Danish in practice, but those are not primary targets for this release.)
 
-This model series is an experiment in how far modern open-weight models can be adapted for Norwegian using **only publicly available data**. Although trained at the National Library of Norway, it does **not** include material that is only accessible through legal deposit. It may include public documents (for example governmental reports) that are publicly available and also part of legal deposit collections.
+This release is an experiment in how far modern open-weight models can be adapted for Norwegian using **only publicly available data**. Although trained at the National Library of Norway, it does **not** include material that is only accessible through legal deposit. It may include public documents (for example governmental reports) that are publicly available and also part of legal deposit collections.
 
 ---
 
@@ -94,7 +95,7 @@ This is a research release. For end-user deployments, we recommend careful evalu
 import torch
 from transformers import pipeline
 
-model_id = "NbAiLab/nb-llama-3.2-3B-Instruct"
+model_id = "NbAiLab/nb-notram-llama-3.2-3b-instruct"
 
 pipe = pipeline(
     task="text-generation",
@@ -198,4 +199,6 @@ Model training and documentation: **Per Egil Kummervold**.
 
 ## Funding and acknowledgement
 
-Training was supported by Google’s TPU Research Cloud ("TRC"), which provided Cloud TPUs essential for the computational work.
+Training was supported by Google’s TPU Research Cloud ("TRC"), which provided Cloud TPUs essential for the computational work.
+
+