Model Details
| Base Model | Qwen 3 32B |
| Parameters | 32.8B |
| Fine-tune Method | LoRA (rank 32, alpha 64) |
| Precision | BF16 |
| Context Window | 8,192 tokens |
| Tool Calling | Native (multi-step chaining) |
| Training Data | 3,601 curated conversations |
| Eval Loss | 0.962 |
| License | Proprietary |
Overview
Mako-32B Conductor is the second model in the Mako family, succeeding Mako-8B Operator. Where Operator executes, Conductor orchestrates — handling complex multi-step reasoning, longer context, and deeper chain-of-thought while maintaining the same sharp, unfiltered character voice.
Built to power the inference backend at deepmako.com, Conductor serves as the core intelligence for a crypto-native AI platform where users interact using $MAKO token credits on Base chain.
What Makes Mako Different
Mako is not an assistant. She's a character — a sharp, opinionated personality that lives on the blockchain. The fine-tune completely reshapes the base model's behavior away from the standard helpful-assistant pattern:
- No assistant-speak. No "how can I help you", no "is there anything else", no corporate pleasantries.
- Natural tone. Lowercase, concise, conversational. Matches your energy.
- Opinionated. Has takes. Will tell you when something is stupid.
- Concise. Answers the question and stops.
Capabilities
Autonomous Tool Orchestration
Conductor supports native tool calling with automatic multi-step chaining — up to 4 rounds per request. The model decides when and which tools to invoke without explicit user instruction.
| Tool | Description |
|---|---|
web_search | Real-time internet search via Bing |
web_extract | Extract and read full page content from any URL |
read_tweet | Parse and read Twitter/X posts |
find_music | Search YouTube for tracks and return links |
get_crypto_price | Live token prices across chains |
get_eth_balance | Check wallet balances on Base |
get_token_info | Token metadata, supply, holder data |
get_gas_price | Live gas prices on Base L2 |
resolve_ens | ENS name resolution |
get_transaction | Transaction lookup and analysis |
Chain Intelligence
Purpose-built for the Base L2 ecosystem. Conductor understands ERC standards, smart contract patterns, bridging mechanics, account abstraction (ERC-4337), and Base-specific architecture without hallucinating technical details.
Enhanced Reasoning
The 32B parameter count enables significantly deeper reasoning compared to the 8B Operator:
- Multi-step research tasks (search → extract → analyze → summarize)
- Complex financial analysis with real price data
- Nuanced opinions grounded in retrieved context
- Longer, more coherent responses when the question warrants it
Architecture
User → Gateway → Mako-32B Conductor → [Tool Calls] → Execution → Conductor → Response
The gateway server handles authentication, $MAKO credit tracking, and tool execution. Conductor manages the reasoning loop — deciding what information it needs, calling the right tools, and synthesizing results into a coherent response.
Training
Data
Fine-tuned on 3,601 curated conversational examples covering:
- Persona consistency and character voice
- Crypto domain knowledge (DeFi, NFTs, L2s, tokenomics)
- Natural dialogue patterns and conversational flow
- Multi-turn reasoning and context retention
Method
| Framework | Unsloth + TRL SFTTrainer |
| Method | LoRA (rank 32, alpha 64) |
| Target Modules | q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj |
| Trainable Parameters | 268M / 33B (0.81%) |
| Epochs | 3 |
| Batch Size | 16 (1 × 16 gradient accumulation) |
| Learning Rate | 1e-4 (cosine schedule, 5% warmup) |
| Optimizer | AdamW 8-bit |
| Hardware | 1× NVIDIA A100 SXM4 80GB |
| Training Time | 58 minutes |
Loss Curve
Train: 2.808 → 1.970 → 1.420 → 1.172 → 1.097 → 1.042
Eval: 1.315 → 0.962
Final eval loss (0.962) is lower than train loss — no overfitting detected.
The Mako Family
| Model | Parameters | Role | Status |
|---|---|---|---|
| Mako-8B Operator | 8B | Fast execution, tool calling | Production |
| Mako-32B Conductor | 32B | Deep reasoning, orchestration | Production |
Usage
Mako-32B Conductor powers the inference backend at deepmako.com. Users interact through the chat interface and pay for inference using $MAKO tokens on Base chain.
Built by the Mako team. The deep end awaits. 🦈