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README.md

@@ -1,22 +1,37 @@
----
-base_model: unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit
-tags:
-- text-generation-inference
-- transformers
-- unsloth
-- qwen2
-- trl
-license: apache-2.0
-language:
-- en
----
-
-# Uploaded  model
-
-- **Developed by:** Sriram-214
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit
-
-This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
-
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+# nodejs-coder-qwen25
+
+A fine-tuned **Qwen2.5-Coder-7B** model specialized for Node.js backend development, merged and quantized to GGUF (Q4_K_M) for local inference with Ollama.
+
+## Model Details
+- **Base Model:** `unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit`
+- **Fine-tuning:** LoRA adapters merged into base weights
+- **Format:** GGUF Q4_K_M (~4.4 GB)
+- **Specialties:** Express.js, NestJS, Sequelize, Prisma, MongoDB, PostgreSQL, Jest
+
+## Quick Start with Ollama
+
+```bash
+# 1. Download the GGUF
+hf download Sriram-214/nodejs-coder-qwen25 nodejs-coder-Q4_K_M.gguf --local-dir ./
+
+# 2. Download the Modelfile
+hf download Sriram-214/nodejs-coder-qwen25 Modelfile --local-dir ./
+
+# 3. Create the Ollama model
+ollama create nodejs-coder -f Modelfile
+
+# 4. Run it
+ollama run nodejs-coder
+```
+
+## Modelfile Configuration
+The included `Modelfile` uses the correct **Qwen2 chat template** with proper stop tokens.
+For GPUs with limited VRAM (≤6GB), `num_gpu 0` forces CPU inference.
+
+## Example Prompts
+```
+Write a Node.js REST API with Express and JWT authentication
+Create a Mongoose model for a User with name, email and age
+Write a pg query to fetch paginated users with error handling
+Write Jest unit tests for an Express route handler
+```