README.md

metadata

language:
  - en
license: mit
library_name: transformers
pipeline_tag: text-generation
tags:
  - fableforge
  - agent
  - code-generation
  - tool-use
  - reasoning
  - base
base_model: meta-llama/Llama-2-7b-chat-hf

FableForge

The base unified agent model - a 7B parameter model fine-tuned for agent tasks including planning, tool use, code generation, and self-correction. The foundation model for the FableForge ecosystem.

Quick Start

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "fableforge-ai/FableForge"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")

prompt = """You are an AI agent. Complete the following task:

Task: Write a Python function to calculate the Fibonacci sequence.

Reasoning:"""

inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.6, top_p=0.9)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Use Cases

• General-purpose agent tasks
• Planning and decomposition
• Code generation with self-verification
• Integration with FableForge runtime and tools

Integration with FableForge Ecosystem

from fableforge_agent_runtime import AgentRuntime
from fableforge_agent_skills import SkillLibrary

runtime = AgentRuntime(
    model="fableforge-ai/FableForge",
    skills=SkillLibrary.all(),
    verification=True
)

result = runtime.run("Deploy a web server on AWS")
print(result.output)
print(result.verification_score)

Ecosystem Integration

Part of the FableForge Agent Ecosystem - 21 open-source projects for building, testing, and deploying AI agents.

Package	Install	Purpose
fableforge	pip install fableforge	Unified CLI
fableforge-anvil-agent	pip install fableforge-anvil-agent	Self-verified coding agent
fableforge-agent-swarm	pip install fableforge-agent-swarm	Multi-agent orchestration
fableforge-agent-runtime	pip install fableforge-agent-runtime	Production agent runtime
fableforge-agent-skills	pip install fableforge-agent-skills	Skill library
verifyloop	pip install verifyloop	Verification loops
reason-critic	pip install reason-critic	Reasoning assessment

Model Details

Attribute	Value
Architecture	LlamaForCausalLM
Parameters	7B
Hidden Size	4096
Layers	32
Attention Heads	32
KV Heads	32
Max Context	4096
Training Data	Fable5 agent traces + curated reasoning datasets
License	MIT

Limitations

• May generate incorrect code -- always use with verifyloop for critical tasks
• Trained primarily on English data; multilingual performance is limited
• Can hallucinate API signatures or tool parameters
• Not suitable for medical, legal, or financial advice without human review

Citation

@misc{fableforge2024,
  title={FableForge: Agent Orchestration via Fine-Tuned Language Models},
  author={FableForge Team},
  year={2024},
  url={https://huggingface.co/fableforge-ai/FableForge}
}

License

MIT License - see LICENSE for details.

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Built with hammer by the FableForge team. Part of the FableForge ecosystem.