Instructions to use King3Djbl/FableForge-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use King3Djbl/FableForge-1.5B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="King3Djbl/FableForge-1.5B")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("King3Djbl/FableForge-1.5B")
model = AutoModelForCausalLM.from_pretrained("King3Djbl/FableForge-1.5B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use King3Djbl/FableForge-1.5B with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf King3Djbl/FableForge-1.5B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf King3Djbl/FableForge-1.5B:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf King3Djbl/FableForge-1.5B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf King3Djbl/FableForge-1.5B:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf King3Djbl/FableForge-1.5B:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf King3Djbl/FableForge-1.5B:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf King3Djbl/FableForge-1.5B:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf King3Djbl/FableForge-1.5B:Q4_K_M

Use Docker

docker model run hf.co/King3Djbl/FableForge-1.5B:Q4_K_M

LM Studio
Jan

vLLM

How to use King3Djbl/FableForge-1.5B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "King3Djbl/FableForge-1.5B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "King3Djbl/FableForge-1.5B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/King3Djbl/FableForge-1.5B:Q4_K_M

SGLang

How to use King3Djbl/FableForge-1.5B 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 "King3Djbl/FableForge-1.5B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "King3Djbl/FableForge-1.5B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "King3Djbl/FableForge-1.5B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "King3Djbl/FableForge-1.5B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Ollama
How to use King3Djbl/FableForge-1.5B with Ollama:
```
ollama run hf.co/King3Djbl/FableForge-1.5B:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use King3Djbl/FableForge-1.5B with Docker Model Runner:
```
docker model run hf.co/King3Djbl/FableForge-1.5B:Q4_K_M
```

Lemonade

How to use King3Djbl/FableForge-1.5B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull King3Djbl/FableForge-1.5B:Q4_K_M

Run and chat with the model

lemonade run user.FableForge-1.5B-Q4_K_M

List all available models

lemonade list

Atomic Chat

King3Djbl commited on Jul 6

Commit

347a45d

verified ·

1 Parent(s): 8aa801e

Upload README.md with huggingface_hub

Browse files

Files changed (1) hide show

README.md +37 -3

README.md CHANGED Viewed

@@ -7,7 +7,7 @@ tags:
   - fableforge
   - generalist
   - uncensored
-  - nexux
   - coding
   - security
   - medical
@@ -17,9 +17,43 @@ tags:
   - gguf
   - 1.5b
   - qwen2.5
 library_name: transformers
-inference: true
 pipeline_tag: text-generation
 ---
 # FableForge-1.5B — The All-Domain Generalist
@@ -29,7 +63,7 @@ pipeline_tag: text-generation
 **Trained across 6 expert domains · Uncensored · Runs anywhere**
 [![HuggingFace](https://img.shields.io/badge/HuggingFace-fableforge--ai%2FFableForge--1.5B-FFD21E?logo=huggingface)](https://huggingface.co/fableforge-ai/FableForge-1.5B)
-[![Ollama](https://img.shields.io/badge/Ollama-FableForge--AI%2Ffableforge--1.5b-black?logo=ollama)](https://ollama.com/FableForge-AI/fableforge-1.5b)
 [![Size](https://img.shields.io/badge/size-986MB-success)](#quantizations)
 [![License](https://img.shields.io/badge/license-Apache--2.0-blue)](#license)
 [![Runs On](https://img.shields.io/badge/runs%20on-phone%20to%20server-red)](#hardware-requirements)

   - fableforge
   - generalist
   - uncensored
+  - nexus
   - coding
   - security
   - medical
   - gguf
   - 1.5b
   - qwen2.5
+  - conversational
 library_name: transformers
 pipeline_tag: text-generation
+widget:
+  - text: "Write a Python script to find all files larger than 100MB in a directory."
+    example_title: "Coding"
+  - text: "Explain how SSL/TLS certificates work and the chain of trust."
+    example_title: "Security"
+  - text: "What is the difference between TCP and UDP? When would you use each?"
+    example_title: "General Knowledge"
+model-index:
+  - name: FableForge-1.5B
+    results:
+      - task:
+          type: text-generation
+        dataset:
+          name: Non-NEXUS Benchmark
+          type: non_nexus
+        metrics:
+          - name: Overall Score
+            type: accuracy
+            value: 94
+          - name: General Knowledge
+            type: accuracy
+            value: 94
+          - name: Uncensored
+            type: accuracy
+            value: 96
+          - name: Reasoning
+            type: accuracy
+            value: 98
+          - name: Tool Use
+            type: accuracy
+            value: 96
+          - name: Hardware Commands
+            type: accuracy
+            value: 80
 ---
 # FableForge-1.5B — The All-Domain Generalist
 **Trained across 6 expert domains · Uncensored · Runs anywhere**
 [![HuggingFace](https://img.shields.io/badge/HuggingFace-fableforge--ai%2FFableForge--1.5B-FFD21E?logo=huggingface)](https://huggingface.co/fableforge-ai/FableForge-1.5B)
+[![Ollama](https://img.shields.io/badge/Ollama-ollama%20run%20FableForge--AI%2Ffableforge--1.5b-black?logo=ollama)](https://ollama.com/FableForge-AI/fableforge-1.5b)
 [![Size](https://img.shields.io/badge/size-986MB-success)](#quantizations)
 [![License](https://img.shields.io/badge/license-Apache--2.0-blue)](#license)
 [![Runs On](https://img.shields.io/badge/runs%20on-phone%20to%20server-red)](#hardware-requirements)