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Model: nachikethreddyy/qwen3.5-8b-distilled-GGUF
Source: Original Platform

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README.md

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+---
+language:
+  - en
+license: apache-2.0
+library_name: transformers
+base_model: Qwen/Qwen3-8B
+tags:
+  - text-generation
+  - fine-tune
+  - coding
+  - gguf
+  - llama.cpp
+  - ollama
+  - lm-studio
+pipeline_tag: text-generation
+inference: true
+model_creator: nachikethreddyy
+---
+
+# Qwen3.5-8B Distilled - GGUF Format
+
+Fine-tuned **Qwen3.5-8B** for software engineering & coding tasks. **GGUF-optimized** version for local inference.
+
+## 📦 What's Included
+
+| Variant | Size | Format | Best For |
+|---------|------|--------|----------|
+| **Full Precision (BF16)** | 16.39 GB | Safetensors | Maximum quality, research |
+| **Q8 Quantized** | 8.8 GB | Safetensors | Balanced speed/quality |
+| **GGUF F16** | 15.3 GB | GGUF | Ollama, llama.cpp, LM Studio |
+
+## 🚀 Quick Start
+
+### Ollama
+```bash
+ollama run nachikethreddyy/qwen3.5-8b-distilled-GGUF:F16
+```
+
+### llama.cpp
+```bash
+# Install
+brew install llama.cpp
+
+# Run
+llama-cli -hf nachikethreddyy/qwen3.5-8b-distilled-GGUF:F16
+```
+
+### LM Studio
+1. Download [LM Studio](https://lmstudio.ai)
+2. Search: `nachikethreddyy/qwen3.5-8b-distilled-GGUF`
+3. Download & run!
+
+### Transformers (Full/Q8)
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained(
+    "nachikethreddyy/qwen3.5-8b-distilled-GGUF",
+    device_map="auto"
+)
+```
+
+## 📊 Training Details
+- **Base:** Qwen/Qwen3-8B
+- **Method:** LoRA Fine-tuning (r=16, alpha=32)
+- **Data:** 256 coding examples
+- **Framework:** MLX
+- **Iterations:** 1600
+
+## 📄 License
+Apache 2.0 (inherited from Qwen/Qwen3-8B)
+
+---
+**For MLX/Apple Silicon:** See [qwen3.5-8b-distilled-MLX](https://huggingface.co/nachikethreddyy/qwen3.5-8b-distilled-MLX)

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