Update README.md

README.md

@@ -17,7 +17,7 @@ tags:
 
 # **Blitzar-Coder-4B-F.1**
 
-> **Blitzar-Coder-4B-F.1** is a high-efficiency, multi-language code reasoning model fine-tuned on **Qwen3-4B** using an enhanced **Mixture of Thoughts (MoT)** dataset, further enriched with **extended code reasoning traces across 10+ programming languages** including Python, Java, C++, C#, Go, and more. Designed to deliver expert-level code understanding, generation, and structured logic across diverse software engineering domains.
+> **Blitzar-Coder-4B-F.1** is a high-efficiency, multi-language coding model fine-tuned on **Qwen3-4B** using **larger coding traces datasets** spanning **10+ programming languages** including Python, Java, C#, C++, C, Go, JavaScript, TypeScript, Rust, and more. This model delivers exceptional code generation, debugging, and reasoning capabilities—making it an ideal tool for developers seeking advanced programming assistance under constrained compute.
 
 > \[!note]
 > GGUF: [https://huggingface.co/prithivMLmods/Blitzar-Coder-4B-F.1-GGUF](https://huggingface.co/prithivMLmods/Blitzar-Coder-4B-F.1-GGUF)
@@ -26,23 +26,23 @@ tags:
 
 ## **Key Features**
 
-1. **Expert-Level Multi-Language Code Reasoning**
-   Trained on rich **code traces and reasoning samples** across **Python, Java, C++, C#, C, Go**, and other major languages—covering syntax, logic, and real-world implementations.
+1. **Multi-Language Code Mastery**
+   Fine-tuned on **extensive coding traces datasets** covering **10+ programming languages** (Python, Java, C#, C++, C, Go, JavaScript, TypeScript, Rust, Swift, Kotlin, and more), enabling cross-language development and translation.
 
-2. **Deep Code Understanding & Debugging**
-   Supports full-stack prototyping, algorithm walkthroughs, optimization suggestions, and in-depth error analysis—ideal for developers, reviewers, and automated coding assistants.
+2. **Advanced Code Generation & Reasoning**
+   Supports complex algorithm synthesis, code optimization, debugging workflows, and architectural design patterns across multiple paradigms—from systems programming to web development.
 
-3. **Symbolic and Scientific Reasoning Integration**
-   Maintains strong performance in math, science, and logic-driven domains with support for **symbolic derivations**, **equation solving**, and **structured explanations**.
+3. **Cross-Language Development Support**
+   Seamlessly handles polyglot codebases, API integrations, and framework-specific implementations while maintaining language-specific best practices and idioms.
 
-4. **Structured Format Output Mastery**
-   Outputs fluently in **Markdown**, **JSON**, **LaTeX**, **YAML**, and **CSV** formats—making it highly suitable for technical documentation, configuration files, and code-comment generation.
+4. **Intelligent Code Analysis**
+   Performs code reviews, identifies performance bottlenecks, suggests refactoring opportunities, and provides detailed explanations for complex programming concepts.
 
-5. **Optimized 4B Parameter Footprint**
-   Balances accuracy and efficiency, allowing deployment on **mid-tier GPUs**, **on-premise clusters**, and **AI edge deployments** without sacrificing capability.
+5. **Structured Output for Development**
+   Generates clean code documentation, API specifications, configuration files, and technical documentation in various formats including **Markdown**, **JSON**, **YAML**, and inline comments.
 
-6. **STEM-Compatible Chain-of-Thought Reasoning**
-   Built to decompose complex problems across science, technology, and engineering fields using chain-of-thought and symbolic logic reasoning patterns.
+6. **Optimized 4B Footprint for Developer Workflows**
+   Balanced for performance and efficiency, deployable on **developer workstations**, **CI/CD pipelines**, and **edge development environments** without compromising code quality.
 
 ---
 
@@ -51,7 +51,7 @@ tags:
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = "prithivMLmods/Lacaille-MoT-4B-Supreme2"  # Update if renamed on HF
+model_name = "prithivMLmods/Blitzar-Coder-4B-F.1"
 
 model = AutoModelForCausalLM.from_pretrained(
     model_name,
@@ -60,10 +60,10 @@ model = AutoModelForCausalLM.from_pretrained(
 )
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-prompt = "Write a Python function to check if a string is a palindrome. Explain the logic."
+prompt = "Create a REST API endpoint in Python using FastAPI that handles file uploads with validation and returns processing status."
 
 messages = [
-    {"role": "system", "content": "You are a multilingual code assistant skilled in logic and structured reasoning."},
+    {"role": "system", "content": "You are an expert programming assistant skilled in multiple languages and development practices."},
     {"role": "user", "content": prompt}
 ]
 
@@ -91,20 +91,21 @@ print(response)
 
 ## **Intended Use**
 
-* Multilingual code generation, optimization, and explanation across 10+ languages
-* Scientific logic integration with code for computational tasks
-* Teaching assistant for programming, algorithm design, and software architecture
-* Structured technical documentation generation
-* Edge-friendly inference for developer tools and code copilots
+* Multi-language code generation and debugging assistance
+* Cross-platform development and code translation between languages
+* Code review, optimization, and refactoring suggestions
+* Technical documentation and API specification generation
+* Developer productivity tools and IDE integrations
+* Educational coding tutorials and programming concept explanations
 
 ---
 
 ## **Limitations**
 
-* Not designed for general conversation or storytelling
-* May underperform on emotional, opinion-based, or casual queries
-* Lacks ultra-long context capabilities (multi-file reasoning is limited)
-* Specializes in technical precision over natural dialogue flow
+* Optimized for coding tasks—may underperform on general conversation
+* Context limitations may affect analysis of very large codebases
+* Focused on programming domains—creative writing capabilities are limited
+* Best suited for technical development workflows rather than casual chat
 
 ---