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README.md

@@ -1,117 +1,17 @@
----
-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
-
-```python
-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
+**Part of the FableForge ecosystem — open-source uncensored AI models.**
 
-```python
-from fableforge_agent_runtime import AgentRuntime
-from fableforge_agent_skills import SkillLibrary
+## Status
 
-runtime = AgentRuntime(
-    model="fableforge-ai/FableForge",
-    skills=SkillLibrary.all(),
-    verification=True
-)
+This repo contains configuration files. The model weights are being trained and will be uploaded soon.
 
-result = runtime.run("Deploy a web server on AWS")
-print(result.output)
-print(result.verification_score)
-```
+## Related Models
 
-## 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
-
-```bibtex
-@misc{fableforge2024,
-  title={FableForge: Agent Orchestration via Fine-Tuned Language Models},
-  author={FableForge Team},
-  year={2024},
-  url={https://huggingface.co/fableforge-ai/FableForge}
-}
-```
+- [ReasonCritic-7B](https://huggingface.co/fableforge-ai/ReasonCritic-7B) — Uncensored reasoning model (8 quants)
+- [ShellWhisperer-1.5B](https://huggingface.co/fableforge-ai/ShellWhisperer-1.5B) — Ultra-fast shell assistant (8 quants)
+- [Mythos 9B Unhinged](https://huggingface.co/King3Djbl/mythos-9b-unhinged) — Most popular uncensored model (3.5K+ downloads)
 
 ## License
 
-MIT License - see [LICENSE](LICENSE) for details.
-
----
-
-Built with hammer by the [FableForge](https://github.com/KingLabsA) team. Part of the [FableForge ecosystem](https://kinglabsa.github.io/fableforge/).
+Apache 2.0