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Model: deepmako/Mako-32B-Conductor Source: Original Platform
2026-09-03 02:40:16 +08:00
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+---
+license: other
+license_name: deepmako-proprietary
+license_link: https://deepmako.com/terms
+language:
+  - en
+base_model:
+  - Qwen/Qwen3-32B
+base_model_relation: finetune
+library_name: transformers
+tags:
+  - mako
+  - crypto
+  - base-chain
+  - conversational
+  - tool-calling
+  - fine-tuned
+  - lora
+  - qwen3
+  - unsloth
+  - trl
+  - sft
+model_type: qwen3
+pipeline_tag: text-generation
+datasets:
+  - custom
+---
+
+<div align="center">
+<img src="makoshark.png" alt="Mako" width="200" />
+<h1>Mako-32B Conductor</h1>
+<p><strong>The orchestrator.</strong> A 32-billion parameter language model fine-tuned for autonomous reasoning, multi-step tool orchestration, and crypto-native intelligence on Base chain.</p>
+<p><a href="https://deepmako.com">deepmako.com</a> · <a href="https://deepmako.com/chat">Platform</a> · <a href="https://x.com/DeepMako">Twitter</a></p>
+</div>
+
+---
+
+## 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](https://huggingface.co/deepmako/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](https://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](https://deepmako.com). Users interact through the chat interface and pay for inference using $MAKO tokens on Base chain.
+
+---
+
+<div align="center">
+
+*Built by the Mako team. The deep end awaits.* 🦈
+
+</div>