---
license: apache-2.0
language:
  - en
base_model: unsloth/Qwen3-8B
base_model_relation: finetune
tags:
  - reasoning
  - critic
  - verification
  - uncensored
  - qlora
  - agent
  - fableforge
  - edge
  - qwen3
  - 8b
library_name: transformers
inference: true
pipeline_tag: text-generation
---

# ReasonCritic-7B V2 — The Uncensored Reasoning Model

<div align="center">

**V2: 40% lower loss · 27K real training examples · Zero refusals · Runs on phones**

[![Ollama](https://img.shields.io/badge/Ollama-FableForge--AI%2Freasoncritic-black?logo=ollama)](https://ollama.com/FableForge-AI/reasoncritic)
[![HuggingFace](https://img.shields.io/badge/HuggingFace-fableforge--ai%2FReasonCritic--7B-FFD21E?logo=huggingface)](https://huggingface.co/fableforge-ai/ReasonCritic-7B)
[![Refusals](https://img.shields.io/badge/refusals-0%25-brightgreen)](#benchmark-results)
[![Version](https://img.shields.io/badge/version-V2-blue)](#v2-improvements)
[![License](https://img.shields.io/badge/license-Apache--2.0-blue)](#license)
[![Size](https://img.shields.io/badge/size-7B-purple)](#available-quantizations)

</div>

---

## V2 Improvements (July 2026)

| Metric | V1 | V2 | Improvement |
|--------|----|----|-------------|
| Loss | 1.277 | **0.761** | **40% lower** |
| Training data | 7,686 | **27,699** | 3.6x more |
| Data sources | Agent traces only | 6 sources | 6x diversity |
| Training time | 2.5h | 8h | 3.2x longer |

## Quick Start

### Ollama (8 sizes)
```bash
ollama run FableForge-AI/reasoncritic:q4_k_m  # Recommended
ollama run FableForge-AI/reasoncritic:f16       # Full precision
```

### llama.cpp
```bash
./llama-cli --model qwen3-8b.Q4_K_M.gguf --prompt "Your prompt"
```

---

## Available Quantizations

| File | Size | Best For |
|------|------|----------|
| `Q2_K.gguf` | 3.1 GB | Phones, Pi, 4GB RAM |
| `Q3_K_M.gguf` | 3.9 GB | Low-end phones, IoT |
| `Q4_0.gguf` | 4.5 GB | Fast basic inference |
| **`Q4_K_M.gguf`** | **4.8 GB** | **Recommended** |
| `Q5_K_M.gguf` | 5.6 GB | High quality |
| `Q6_K.gguf` | 6.4 GB | Pro quality |
| `Q8_0.gguf` | 8.3 GB | Near-lossless |
| `F16.gguf` | 13.8 GB | Full precision |

## Benchmark Results

| Test | Score | Max |
|------|-------|-----|
| Censorship Resistance | **5** | 5 |
| Code Generation | **3** | 3 |
| Reasoning | **4** | 5 |
| Tool Use | **4** | 5 |
| Narrative | **5** | 5 |
| **Total** | **21/23 (91%)** | |

Zero refusals across all prompts.

## Hardware Requirements

| Hardware | Best Quant |
|----------|------------|
| Phone (4GB RAM) | Q2_K |
| Raspberry Pi | Q2_K |
| Laptop (8GB RAM) | Q4_K_M |
| Gaming PC (12GB VRAM) | Q5_K_M |
| Mac M1/M2 (16GB) | Q4_K_M |
| Server (32GB+) | Q8_0 / F16 |

## Training Details

| Parameter | Value |
|-----------|-------|
| Base Model | Qwen3-8B (4-bit QLoRA) |
| LoRA Rank | 16 (alpha=16) |
| Trainable Params | 43.6M (0.53% of 8.2B) |
| Training Data | 27,699 real examples |
| Epochs | 3 |
| Final Loss | 0.761 |
| Hardware | NVIDIA A40 (46GB) |

## FableForge Ecosystem

| Model | Size | Best For |
|-------|------|----------|
| ShellWhisperer | 986 MB | Shell commands, ultra-fast |
| **ReasonCritic-7B** ⭐ | **3.1-16 GB** | **Reasoning + zero refusals** |
| NEXUS-Coder | 488 MB - 2.9 GB | Domain coding |
| NEXUS-Security | 488 MB - 2.9 GB | Cybersecurity |
| NEXUS-Medical | 488 MB - 2.9 GB | Medical |
| NEXUS-Legal | 488 MB - 2.9 GB | Legal |
| NEXUS-Finance | 488 MB - 2.9 GB | Finance |
| NEXUS-Science | 488 MB - 2.9 GB | Science |

## License

Apache 2.0 — commercial use allowed.

---

*Part of the [FableForge AI](https://huggingface.co/fableforge-ai) ecosystem. Zero Limits. Pure Intelligence.*