--- title: RavenX-Trade-8B-MAP-128k-mlx-4bit canonical_url: "https://www.modelscope.ai/models/Deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit" md_url: "https://www.modelscope.ai/models/Deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit.md" repository: Deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit last_updated: 2026-06-29 license: apache-2.0 pipeline_tag: text-generation tasks: - text-generation model_type: - qwen3 architectures: - Qwen3ForCausalLM base_model: - Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 base_model_relation: finetune parameters: 8.2B tensor_type: - BF16 library_name: - mlx - safetensors - pytorch frameworks: - pytorch language: - en downloads: 29 stars: 0 tags: - trading - crypto - polymarket - solana - quantitative - hedge-fund - 128k-context - MLX - Safetensors - apple-silicon - ravenx - map-protocol --- # RavenX-Trade-8B-MAP-128k-mlx-4bit > RavenX-Trade-8B-MAP-128k-mlx-4bit - An open-source model by Deadbydawn101 on ModelScope. 🐦‍⬛ RavenX-Trade 8B v1.1 — Autonomous Trading Intelligence Deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit is a 8.2B-parameter text-generation model on ModelScope. licensed under apache-2.0. derived from Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1. - **Repository**: Deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit - **License**: apache-2.0 - **Tasks**: text-generation - **Parameters**: 8.2B - **Base model**: Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 - **Tags**: trading, crypto, polymarket, solana, quantitative, hedge-fund, 128k-context, MLX, Safetensors, apple-silicon, ravenx, map-protocol - **Downloads**: 29 - **Stars**: 0 - **Last updated**: 2026-06-29 Source: https://www.modelscope.ai/models/Deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit --- # 🐦‍⬛ RavenX-Trade 8B v1.1 — Autonomous Trading Intelligence > **MLX 4-bit** · Apple Silicon · 128K context · 4-step MAP protocol · 318K training examples **Qwen3-8B fine-tuned for autonomous trading analysis.** Trained on 318,675 examples from Polymarket, crypto, stocks, options, hedge fund, and quantitative trading data. Follow the MAP protocol: **Market → Analyze → Predict → Trade.** > 📦 **GGUF (Ollama / llama.cpp):** [RavenX-Trade-8B-GGUF](https://huggingface.co/deadbydawn101/RavenX-Trade-8B-GGUF) > > 🛡️ **Security model:** [RavenX-Sec-8B-RATH-128k](https://huggingface.co/deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit) (610K examples, 6-step RATH protocol) **Built by [@DeadByDawn101](https://github.com/DeadByDawn101) · RavenX LLC** --- ## What This Model Does A fine-tuned Qwen3-8B that follows the **MAP protocol** for every trading analysis: | MAP Step | What It Does | |----------|-------------| | **M — Market** | Identifies asset, price, timeframe, market context | | **A — Analyze** | Technical indicators, volume, momentum, on-chain signals | | **P — Predict** | Signal direction, confidence level, target price | | **T — Trade** | Entry, stop loss, target, risk/reward, position sizing | --- ## Example Output ``` 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 ``` --- ## Quick Start (MLX) ```python from mlx_lm import load, generate model, tokenizer = load("deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit") messages = [ {"role": "system", "content": "You are RavenX-Trade. Follow the MAP protocol (Market, Analyze, Predict, Trade) for every analysis."}, {"role": "user", "content": "BTC at 67500. RSI 28. MACD bullish crossover. Volume 3x average. Analyze."} ] prompt = tokenizer.apply_chat_template(messages, add_generation_prompt=True, tokenize=False) response = generate(model, tokenizer, prompt=prompt, max_tokens=2048) print(response) ``` ### Chat REPL ```bash python3 -m mlx_lm chat --model deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit --max-tokens 2048 ``` ### OpenAI-Compatible Server ```bash python3 -m mlx_lm.server --model deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit ``` --- ## Training Details | Parameter | Value | |-----------|-------| | **Architecture** | Qwen3-8B (Josiefied abliterated) | | **Training Data** | 318,675 examples | | **Context Window** | 128K (YaRN rope scaling, factor 4.0) | | **Method** | MLX LoRA (rank 32, 8 layers) | | **Learning Rate** | 1e-5 | | **Batch Size** | 2 | | **Iterations** | 2,000 | | **Sequence Length** | 8,192 | | **Hardware** | Apple M1 Max 64GB | ### Dataset Composition (318K examples) | Category | Examples | Weight | |----------|----------|--------| | **Polymarket** | 86,800 | 2x | | **Stock/Options Trading** | 36,000 | 2x | | **Hedge Fund Strategies** | 14,200 | 2x | | **Crypto Trading** | 7,100 | 2x | | **Agent/Tool Calling** | 16,100 | 1x | | **GitHub Repos (15)** | 3,422 | 3x | | **Synthetic MAP** | custom | 2x | ### Datasets Used (21) **Polymarket:** polymarket-quant-bench (36.8K) · polymarket-transactions (50K streamed) **Crypto:** Solana-blockchain-360-Coding · crypto-agent-safe-function-calling · crypto-trading-r1-rl · crypto-ai-trading-signals **Stocks/Quant:** stock-trader-sft-v2 (36K) · QuantitativeEquityInvesting · stock-market-chart-patterns **Hedge Fund:** Hedgefunddataset (14.2K) **Agent/Reasoning:** Claude-TraceInversion · ToolACE **15 GitHub Repos:** polyverse · polymarket-trade-engine · tradingagents · ai-hedge-fund · MiroFish · Polymarket-BTC-15-Minute-Trading-Bot · pump-fun-bundler-bot · pumpfun-mcp-server · auto-researchtrading · degen-financial-plugins · polyterm · gopher · trading-bot · open-reasoning · minimind --- ## The RavenX Model Family | Model | Domain | Protocol | Training Data | |-------|--------|----------|--------------| | [**RavenX-Sec v4.0**](https://huggingface.co/deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit) | Security | 6-step RATH | 610K examples | | [**RavenX-Trade v1.1**](https://huggingface.co/deadbydawn101/RavenX-Trade-8B-MAP-128k-mlx-4bit) | Trading | 4-step MAP | 318K examples | --- ## Source Code & Training Pipeline **[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*