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

Libraries

How to use fableforge-ai/FableForge with Transformers:

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

pipe = pipeline("text-generation", model="fableforge-ai/FableForge")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("fableforge-ai/FableForge")
model = AutoModelForMultimodalLM.from_pretrained("fableforge-ai/FableForge")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use fableforge-ai/FableForge with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/fableforge-ai/FableForge

SGLang

How to use fableforge-ai/FableForge 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/FableForge" \
    --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": "fableforge-ai/FableForge",
		"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 "fableforge-ai/FableForge" \
        --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": "fableforge-ai/FableForge",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use fableforge-ai/FableForge with Docker Model Runner:
```
docker model run hf.co/fableforge-ai/FableForge
```

FableForge / tokenizer.json

King3Djbl

Add model card and config files for FableForge

7b31645 verified 6 days ago

Raw

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1.24 kB

	{
	"version": "1.0.0",
	"truncation": null,
	"padding": null,
	"added_tokens": [
	{
	"id": 0,
	"content": "<unk>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	{
	"id": 1,
	"content": "<s>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	},
	{
	"id": 2,
	"content": "</s>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
	}
	],
	"normalizer": null,
	"pre_tokenizer": {
	"type": "ByteLevel",
	"add_prefix_space": false,
	"trim_offsets": true,
	"use_regex": true
	},
	"post_processor": {
	"type": "ByteLevel",
	"add_prefix_space": true,
	"trim_offsets": false,
	"use_regex": true
	},
	"decoder": {
	"type": "ByteLevel"
	},
	"model": {
	"type": "BPE",
	"dropout": null,
	"unk_token": "<unk>",
	"continuing_subword_prefix": null,
	"end_of_word_suffix": null,
	"fuse_unk": false,
	"byte_fallback": false,
	"vocab": {
	"<unk>": 0,
	"<s>": 1,
	"</s>": 2
	},
	"merges": []
	}
	}