---
license: apache-2.0
base_model: Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1
tags:
  - trading
  - crypto
  - polymarket
  - solana
  - quantitative
  - hedge-fund
  - 128k-context
  - gguf
  - ollama
  - ravenx
  - map-protocol
language:
  - en
pipeline_tag: text-generation
---

# 🐦‍⬛ RavenX-Trade 8B v1.1 — GGUF (Ollama / llama.cpp / LM Studio)

> **GGUF** · 128K context · 4-step MAP protocol · 318K training examples

**Qwen3-8B fine-tuned for autonomous trading analysis.** GGUF quantizations for Ollama, llama.cpp, and LM Studio.

> 🍎 **MLX (Apple Silicon):** [RavenX-Trade-8B-MAP-128k-mlx-4bit](https://huggingface.co/deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit)
>
> 🛡️ **Security model:** [RavenX-Sec-8B-GGUF](https://huggingface.co/deadbydawn101/RavenX-Sec-8B-GGUF)

**Built by [@DeadByDawn101](https://github.com/DeadByDawn101) · RavenX LLC**

---

## Quick Start (Ollama)

```bash
# Run directly from HuggingFace — no push needed
ollama run hf.co/deadbydawn101/RavenX-Trade-8B-GGUF:ravenx-trade-v1.1-128k-Q8_0
```

---

## Available Quantizations

| File | Quant | Size | Use Case |
|------|-------|------|----------|
| `ravenx-trade-v1.1-128k-f16.gguf` | F16 | ~16 GB | Full precision, maximum quality |
| `ravenx-trade-v1.1-128k-Q8_0.gguf` | Q8_0 | ~8.5 GB | Best quality quantized |
| `ravenx-trade-v1.1-128k-Q5_K_M.gguf` | Q5_K_M | ~5.7 GB | Balanced quality/speed |
| `ravenx-trade-v1.1-128k-Q4_K_M.gguf` | Q4_K_M | ~4.9 GB | Fast inference, lower memory |

---

## Example Output (4-Step MAP Protocol)

```
MAP STEP 1: MARKET
- Asset: Bitcoin (BTC)
- Price: 67500.00
- Timeframe: 15-minute
- Market Context: Early phase of bullish setup

MAP STEP 2: ANALYZE
- RSI at 28: Deep oversold, potential bounce
- MACD just bullish crossover: Confirmation of bullish momentum
- 3x average volume: High conviction, likely accumulation

MAP STEP 3: PREDICT
- Signal: Strong potential for bullish reversal
- Confidence: 85%
- Target: 68000.00

MAP STEP 4: TRADE
- Action: Buy
- Entry: 67500.00
- Stop Loss: 66500.00
- Target: 68000.00
- Risk/Reward: 1:1.5
- Position Size: 2.5% of portfolio
```

---

## Model Details

| Parameter | Value |
|-----------|-------|
| **Architecture** | Qwen3-8B |
| **Base** | Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 |
| **Context** | 128K (YaRN rope scaling, factor 4.0) |
| **Training Data** | 318,675 examples (21 datasets + 15 repos) |
| **Method** | MLX LoRA (rank 32, 8 layers, 1e-5 LR, 2000 iters) |
| **Hardware** | Apple M1 Max 64GB |

---

## The RavenX Model Family

| Model | Domain | Protocol | Training Data |
|-------|--------|----------|--------------|
| [**RavenX-Sec v4.0**](https://huggingface.co/deadbydawn101/RavenX-Sec-8B-GGUF) | Security | 6-step RATH | 610K examples |
| [**RavenX-Trade v1.1**](https://huggingface.co/deadbydawn101/RavenX-Trade-8B-GGUF) | Trading | 4-step MAP | 318K examples |

---

## Source Code

**[github.com/DeadByDawn101/RavenX-Trade](https://github.com/DeadByDawn101/RavenX-Trade)**

## License

Apache-2.0

---

*"We don't give up. We do what others don't and build what isn't possible." — RavenX LLC*