Improve language tag

Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.

README.md

@@ -1,57 +1,67 @@
----
-license: apache-2.0
-language:
-- en
-base_model:
-- Qwen/Qwen2.5-32B
-pipeline_tag: text-generation
-library_name: transformers
-tags:
-- Bifröst
-- Bifrost
-- code
-- reasoning
-inference:
-  parameters:
-    temperature: 0
-widget:
-- messages:
-  - role: user
-    content: >-
-      Generate secure production code for [task] in python with proper input
-      validation, current cryptographic standards, least privilege principles,
-      comprehensive error handling, secure logging, and defense-in-depth.
-      Include security-focused comments and explain critical security decisions.
-      Follow OWASP/NIST standards.
----
-
-## Bifröst-R1-32B (Reasoning)
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/64a834a8895fd6416e29576f/sAXfe0cQdULI_GEVxBstw.png)
-
-Bifröst-R1-32B (Reasoning) is an advanced AI model built upon qwen2 architecture, specifically fine-tuned for secure and efficient enterprise-grade code generation with reasoning. Designed to meet rigorous standards of safety, accuracy, and reliability, Bifröst empowers organizations to streamline software development workflows while prioritizing security and compliance.
-
-### Model Details
-- **Model Name:** Bifröst-R1-32B
-- **Base Architecture:** qwen2
-- **Application:** Enterprise Secure Code Generation
-- **Release Date:** 08-March-2025
-
-### Intended Use
-Bifröst is designed explicitly for:
-- Generating secure, efficient, and high-quality code.
-- Supporting development tasks within regulated enterprise environments.
-- Enhancing productivity by automating routine coding tasks without compromising security.
-
-### Features
-- **Security-Focused Training:** Specialized training regimen emphasizing secure coding practices, vulnerability reduction, and adherence to security standards.
-- **Enterprise-Optimized Performance:** Tailored to support various programming languages and enterprise frameworks with robust, context-aware suggestions.
-- **Compliance-Driven Design:** Incorporates features to aid in maintaining compliance with industry-specific standards (e.g., GDPR, HIPAA, SOC 2).
-
-### Limitations
-- Bifröst should be used under human supervision to ensure code correctness and security compliance.
-- Model-generated code should undergo appropriate security and quality assurance checks before deployment.
-
-### Ethical Considerations
-- Users are encouraged to perform regular audits and compliance checks on generated outputs.
+---
+license: apache-2.0
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+base_model:
+- Qwen/Qwen2.5-32B
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- Bifröst
+- Bifrost
+- code
+- reasoning
+inference:
+  parameters:
+    temperature: 0
+widget:
+- messages:
+  - role: user
+    content: Generate secure production code for [task] in python with proper input
+      validation, current cryptographic standards, least privilege principles, comprehensive
+      error handling, secure logging, and defense-in-depth. Include security-focused
+      comments and explain critical security decisions. Follow OWASP/NIST standards.
+---
+
+## Bifröst-R1-32B (Reasoning)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64a834a8895fd6416e29576f/sAXfe0cQdULI_GEVxBstw.png)
+
+Bifröst-R1-32B (Reasoning) is an advanced AI model built upon qwen2 architecture, specifically fine-tuned for secure and efficient enterprise-grade code generation with reasoning. Designed to meet rigorous standards of safety, accuracy, and reliability, Bifröst empowers organizations to streamline software development workflows while prioritizing security and compliance.
+
+### Model Details
+- **Model Name:** Bifröst-R1-32B
+- **Base Architecture:** qwen2
+- **Application:** Enterprise Secure Code Generation
+- **Release Date:** 08-March-2025
+
+### Intended Use
+Bifröst is designed explicitly for:
+- Generating secure, efficient, and high-quality code.
+- Supporting development tasks within regulated enterprise environments.
+- Enhancing productivity by automating routine coding tasks without compromising security.
+
+### Features
+- **Security-Focused Training:** Specialized training regimen emphasizing secure coding practices, vulnerability reduction, and adherence to security standards.
+- **Enterprise-Optimized Performance:** Tailored to support various programming languages and enterprise frameworks with robust, context-aware suggestions.
+- **Compliance-Driven Design:** Incorporates features to aid in maintaining compliance with industry-specific standards (e.g., GDPR, HIPAA, SOC 2).
+
+### Limitations
+- Bifröst should be used under human supervision to ensure code correctness and security compliance.
+- Model-generated code should undergo appropriate security and quality assurance checks before deployment.
+
+### Ethical Considerations
+- Users are encouraged to perform regular audits and compliance checks on generated outputs.
 - Enterprises should implement responsible AI practices to mitigate biases or unintended consequences.