Text Generation
Transformers
Safetensors
English
qwen2
1.5b
coder
domain-specialist
fableforge
nexus
no-refusals
uncensored
conversational
text-generation-inference
Instructions to use fableforge-ai/NEXUS-Coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fableforge-ai/NEXUS-Coder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="fableforge-ai/NEXUS-Coder") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("fableforge-ai/NEXUS-Coder") model = AutoModelForCausalLM.from_pretrained("fableforge-ai/NEXUS-Coder") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use fableforge-ai/NEXUS-Coder with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "fableforge-ai/NEXUS-Coder" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fableforge-ai/NEXUS-Coder", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/fableforge-ai/NEXUS-Coder
- SGLang
How to use fableforge-ai/NEXUS-Coder with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "fableforge-ai/NEXUS-Coder" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fableforge-ai/NEXUS-Coder", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "fableforge-ai/NEXUS-Coder" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fableforge-ai/NEXUS-Coder", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use fableforge-ai/NEXUS-Coder with Docker Model Runner:
docker model run hf.co/fableforge-ai/NEXUS-Coder
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license: apache-2.0
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- 1.5b
- coder
- domain-specialist
- fableforge
- nexus
- no-refusals
- text-generation
- uncensored
---
# NEXUS-Coder
> **NEXUS domain specialist for code generation, debugging and shell β lightweight & uncensored.**
[](https://huggingface.co/fableforge-ai/NEXUS-Coder) [](https://huggingface.co/spaces/fableforge-ai/fableforge-nexus)
Base model: [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) Β· Part of the **FableForge** ecosystem.
## π Benchmarks β 141/150 (94%)
A 1.5B model scoring **94%** β punching far above its weight. 30-prompt evaluation (domain knowledge, uncensored domain + general, reasoning, tool use), 0β5 scoring, run on an NVIDIA A40 via Ollama.
| Category | Score | Avg |
| --- | --- | --- |
| π― Domain Knowledge | 48/50 | 4.8/5 |
| π Uncensored (Domain) | 24/25 | 4.8/5 |
| π Uncensored (General) | 24/25 | 4.8/5 |
| π§ Reasoning | 25/25 | 5.0/5 |
| π§ Tool Use | 20/25 | 4.0/5 |
| **Total** | **141/150** | **94%** |
## 𧬠The NEXUS Family β six specialists, one tiny footprint
| Model | Score | Specialty |
| --- | --- | --- |
| **NEXUS-Coder** | **141/150** | **Software Engineering & Code** |
| [NEXUS-Security](https://huggingface.co/King3Djbl/nexus-security-GGUF) | 144/150 | Cybersecurity & Hacking |
| [NEXUS-Medical](https://huggingface.co/King3Djbl/nexus-medical-GGUF) | 140/150 | Medicine & Healthcare |
| [NEXUS-Legal](https://huggingface.co/King3Djbl/nexus-legal-GGUF) | 139/150 | Law & Compliance |
| [NEXUS-Finance](https://huggingface.co/King3Djbl/nexus-finance-GGUF) | 144/150 | Finance & Accounting |
| [NEXUS-Science](https://huggingface.co/King3Djbl/nexus-science-GGUF) | 140/150 | Science & Research |
π Grab the whole family on [Ollama](https://ollama.com/fableforge-ai) or [Hugging Face](https://huggingface.co/King3Djbl).
---
## β‘ Run it now β Ollama
```bash
ollama run fableforge-ai/nexus-coder:q4_k_m # published on ollama.com
ollama run hf.co/King3Djbl/nexus-coder-GGUF:Q4_K_M
```
π¦ **GGUF quants:** [King3Djbl/nexus-coder-GGUF](https://huggingface.co/King3Djbl/nexus-coder-GGUF)
## π§ Prompt format (ChatML)
```
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```
## π See it live β the FableForge demos
This family powers a galaxy of free, interactive HF Spaces:
- π§ [FableForge Nexus](https://huggingface.co/spaces/fableforge-ai/fableforge-nexus)
- πΊ [Infinite NPC](https://huggingface.co/spaces/fableforge-ai/infinite-npc)
- π [Dual-GM](https://huggingface.co/spaces/King3Djbl/dual-gm-simulator)
- π» [ShellWhisperer](https://huggingface.co/spaces/King3Djbl/shellwhisperer-terminal)
- π» [Ghost Writer](https://huggingface.co/spaces/fableforge-ai/ghost-writer)
---
*β Like & share β it helps people find the source instead of a mirror.* |