Instructions to use fableforge-ai/NEXUS-Coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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
```

King3Djbl commited on 10 days ago

Commit

616d362

verified ·

1 Parent(s): daa8c55

Viral card: model-tree metadata, quant table, Ollama-from-source, demo funnel

Browse files

Files changed (1) hide show

README.md +34 -44

README.md CHANGED Viewed

@@ -2,69 +2,59 @@
 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.

 license: apache-2.0
 language:
   - en
 library_name: transformers
+pipeline_tag: text-generation
+base_model: Qwen/Qwen2.5-1.5B-Instruct
+base_model_relation: finetune
 tags:
+  - 1.5b
+  - coder
+  - domain-specialist
   - fableforge
   - nexus
+  - no-refusals
+  - text-generation
   - uncensored
 ---
 # NEXUS-Coder
+> **NEXUS domain specialist for code generation, debugging and shell — lightweight & uncensored.**
+[![Downloads](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fhuggingface.co%2Fapi%2Fmodels%2Ffableforge-ai%2FNEXUS-Coder&query=downloads&label=downloads&color=blue)](https://huggingface.co/fableforge-ai/NEXUS-Coder) [![Demos](https://img.shields.io/badge/🤗-Live%20Demos-orange)](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)  ·  Part of the **FableForge** ecosystem.
+---
+## ⚡ Run it now — Ollama (GGUF build)
+```bash
+ollama run hf.co/King3Djbl/nexus-coder-GGUF:Q4_K_M
+```
+📦 **GGUF quants:** [King3Djbl/nexus-coder-GGUF](https://huggingface.co/King3Djbl/nexus-coder-GGUF)
+## 🧠 Prompt format (ChatML)
+```
+<|im_start|>system
+{system_prompt}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
+## 🌌 See it live — the FableForge demos
+This family powers a galaxy of free, interactive HF Spaces:
+- 🧭 [FableForge Nexus](https://huggingface.co/spaces/fableforge-ai/fableforge-nexus)
+- 🍺 [Infinite NPC](https://huggingface.co/spaces/fableforge-ai/infinite-npc)
+- 🎭 [Dual-GM](https://huggingface.co/spaces/King3Djbl/dual-gm-simulator)
+- 💻 [ShellWhisperer](https://huggingface.co/spaces/King3Djbl/shellwhisperer-terminal)
+- 👻 [Ghost Writer](https://huggingface.co/spaces/fableforge-ai/ghost-writer)
+---
+*⭐ Like & share — it helps people find the source instead of a mirror.*