初始化项目，由ModelHub XC社区提供模型

Model: fableforge-ai/ReasonCritic-7B
Source: Original Platform

README.md

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+---
+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.*