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README.md

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+---
+language:
+  - en
+  - fr
+  - es
+  - de
+  - ar
+  - tr
+  - pt
+  - nl
+tags:
+  - crypto
+  - tool-calling
+  - function-calling
+  - execution-agent
+  - qwen2
+  - gguf
+  - finance
+license: apache-2.0
+base_model: Qwen/Qwen2.5-32B-Instruct
+pipeline_tag: text-generation
+model-index:
+  - name: CrymadX-LLM-32B
+    results: []
+---
+
+# CrymadX LLM 32B
+
+**An autonomous crypto execution agent** fine-tuned from Qwen 2.5 32B-Instruct. Built to EXECUTE crypto operations through tool calls — not give instructions.
+
+## What Makes This Different
+
+Most AI assistants tell you *how* to do things. CrymadX LLM **does them for you**:
+
+```
+User: check my BTC balance
+AI: [calls get_balance(token="BTC")] → You have 0.5432 BTC (~$35,310)
+
+User: swap 0.1 ETH to USDT  
+AI: [calls get_swap_estimate()] → 0.1 ETH → 329.67 USDT. Confirm?
+User: yes
+AI: [calls execute_swap()] → Done! 0.1 ETH → 329.67 USDT
+```
+
+## Model Details
+
+| Field | Value |
+|---|---|
+| Base Model | Qwen 2.5 32B-Instruct |
+| Fine-tuning | QLoRA (rank 64) via Unsloth |
+| Training Data | 11,606 examples |
+| Training Time | 17.1 hours on NVIDIA A40 |
+| Final Loss | 0.0558 |
+| License | Apache 2.0 |
+
+## Available Quantizations
+
+| File | Size | VRAM | Use Case |
+|---|---|---|---|
+|  | 19 GB | 24 GB | Single RTX 3090 / RTX 4090 |
+|  | 33 GB | 48 GB | 2x RTX 3090 / A40 / A6000 |
+
+## 37 Tools Available
+
+The model is trained to call tools across these categories:
+
+- **Wallet**: get_balance, get_all_balances, get_deposit_address, get_transactions
+- **Trading**: get_price, get_swap_estimate, execute_swap, create_price_alert, create_auto_invest
+- **Fiat**: create_fiat_buy_order, create_fiat_sell_order
+- **Transfers**: validate_address, estimate_send_fee, preview_transaction, request_auth, execute_send
+- **Staking**: stake_asset, unstake_asset, get_staking_positions
+- **Savings**: create_vault, unlock_vault, get_vault_positions
+- **Account**: update_profile, start_kyc, setup_2fa, verify_and_enable_2fa
+- **Card**: fund_card, get_card_balance
+- **Support**: create_support_ticket
+- **Market**: get_market_overview
+
+## Training Data Composition
+
+| Category | Examples | Description |
+|---|---|---|
+| Single-tool operations | ~5,000 | Balance, price, swap, send, buy, sell, stake |
+| Multi-turn chains (5-20 turns) | ~3,500 | Full sessions with noise, interruptions, errors |
+| Beginner/naive users | ~600 | Elderly, teens, typos, wrong terminology |
+| Multilingual | ~600 | Dutch, French, Spanish, German, Arabic, Turkish, Portuguese, Pidgin |
+| Error recovery | ~500 | Insufficient balance, wrong address, wrong OTP |
+| Social engineering refusal | ~400 | Prompt injection, jailbreak attempts |
+| Media handling | ~400 | Voice transcripts, OCR/QR images, stickers |
+| Anti-chatbot guardrails | ~300 | Execute, never instruct |
+
+## Languages
+
+Trained and tested in: English, Dutch, French, Spanish, German, Arabic, Turkish, Portuguese, Nigerian Pidgin, Indonesian, Swahili, and mixed-language conversations.
+
+## Anti-Chatbot Design
+
+The model is explicitly trained to NEVER give instructions:
+
+- "How do I check my balance?" → Calls  immediately
+- "How do I swap?" → Asks which tokens, then executes
+- "How do I buy BTC?" → Asks how much, then creates buy order
+
+## Usage with vLLM
+
+```bash
+python -m vllm.entrypoints.openai.api_server \
+    --model crymadxAI/CrymadX-LLM-32B \
+    --quantization gguf \
+    --max-model-len 8192
+```
+
+## Built By
+
+[CrymadX](https://crymadx.io) — Crypto Exchange Platform
+
+Fine-tuned with [Unsloth](https://github.com/unslothai/unsloth) for 2x faster training.