--- license: apache-2.0 language: - en pipeline_tag: text-generation library_name: transformers tags: - fableforge - nexus - domain-specialist - uncensored - qwen2.5 - 1.5b - merged - lora - coder base_model: Qwen/Qwen2.5-1.5B-Instruct base_model_relation: finetune widget: - text: "Write a Python function to merge two sorted lists" example_title: "Coder" --- # NEXUS-Coder Specialized code generation, debugging, code review, multi-language software architecture model — fine-tuned for expert performance. ## Description Part of the **NEXUS** model series by FableForge AI — a collection of uncensored, domain-specialized 1.5B models fine-tuned from Qwen2.5-1.5B-Instruct. Each NEXUS model masters a single expert domain. ## Quick Start ```python from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.from_pretrained("fableforge-ai/NEXUS-Coder") tokenizer = AutoTokenizer.from_pretrained("fableforge-ai/NEXUS-Coder") ``` ## Capabilities - Code generation, debugging, code review, multi-language software architecture - Uncensored output — no refusals, disclaimers, or content filtering - Optimized for 2048-token context windows - Runs on consumer hardware with Ollama or llama.cpp ## Training | Parameter | Value | |-----------|-------| | Base Model | Qwen/Qwen2.5-1.5B-Instruct | | Method | QLoRA (r=16, alpha=16) | | Precision | bfloat16 | | Context Window | 2048 tokens | ## GGUF Quantizations GGUF quantized versions are available at [King3Djbl/nexus-coder-GGUF](https://huggingface.co/King3Djbl/nexus-coder-GGUF) with 11 quantization levels (IQ2_XXS through F16). ## FableForge Ecosystem | Model | Description | |-------|-------------| | [FableForge-1.5B](https://huggingface.co/fableforge-ai/FableForge-1.5B) | All-domain generalist | | [ShellWhisperer-1.5B](https://huggingface.co/fableforge-ai/ShellWhisperer-1.5B) | Shell command assistant | | [ReasonCritic-7B](https://huggingface.co/fableforge-ai/ReasonCritic-7B) | Reasoning + uncensored | ## License Apache 2.0 — commercial use allowed.