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Model: Mattimax/DAC5-3B Source: Original Platform
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README.md
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---
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license: mit
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datasets:
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- Mattimax/DACMini_Refined
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- Mattimax/Camoscio-ITA
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language:
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- it
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- en
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library_name: transformers
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tags:
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- DAC
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- M.INC.
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- conversational
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---
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## ☕ Support the project
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[](https://www.buymeacoffee.com/marzomattye)
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## 🇮🇹 ITALIANO
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# 📘 Model Card — Mattimax/DAC5-3B
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## 🧠 Informazioni Generali
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* **Nome:** Mattimax/DAC5-3B
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* **Serie:** DAC (DATA-AI Chat) – 5ª versione
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* **Autore:** Mattimax
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* **Research Lab / Azienda:** MINC01
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* **Base Model:** Qwen – Qwen2.5-3B-Instruct
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DAC5-3B è attualmente il modello più avanzato e sperimentale della serie DAC, progettato per massimizzare qualità conversazionale, integrandosi al meglio con **server MCP** e performance tecnica su architettura 3B.
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---
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# 🏗 Architettura Tecnica
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### Core Architecture
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* **Architettura:** Qwen2ForCausalLM
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* **Parametri:** ~3B
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* **Numero layer:** 36
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* **Hidden size:** 2048
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* **Intermediate size:** 11008
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* **Attention heads:** 16
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* **Key/Value heads (GQA):** 2
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* **Attivazione:** SiLU
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* **Norm:** RMSNorm (eps 1e-6)
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* **Tie word embeddings:** Yes
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### Attention
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* Full attention su tutti i 36 layer
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* Attention dropout: 0.0
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||||
* Sliding window: disabilitato
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* GQA (Grouped Query Attention) → maggiore efficienza memoria
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|
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### Positional Encoding
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||||
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* **Max position embeddings:** 32768
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* **RoPE theta:** 1,000,000
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* RoPE scaling: None
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### Precision & Performance
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|
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* Torch dtype: bfloat16
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* Quantizzazione training: 4-bit (NF4)
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* Cache abilitata per inference
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* Ottimizzato con Unsloth (fixed build 2026.2.1)
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### Tokenizer
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||||
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* **Vocab size:** 151,936
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* EOS token id: 151645
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* PAD token id: 151654
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---
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# 🎯 Obiettivo del Modello
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DAC5-3B è stato progettato per:
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* 🇮🇹 Massima qualità in italiano
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* ⚡ Alta efficienza su GPU consumer
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* 🧩 Conversazione coerente multi-turn
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* 🛠️ Supporto tecnico e coding leggero
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* 🧠 Migliore stabilità rispetto ai DAC precedenti
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È un modello orientato a sviluppatori indipendenti, maker e sistemi offline (come OpenClaw, Claude Code, OpenCode, ecc...)
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---
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# 📚 Dataset & Specializzazione
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Il fine-tuning supervisionato è stato effettuato su un mix altamente selezionato di dataset italiani:
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* Camoscio-ITA
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* DACMini Refined
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* Conversazioni sintetiche italiane ad alta qualità
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### Strategia
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* Dataset limitato ma ad alta densità informativa (~20k esempi)
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* Minimizzazione del rumore
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* Focus su chiarezza e coerenza
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* Riduzione delle risposte generiche tipiche dei 3B
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---
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# 🚀 Capacità Principali
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DAC5-3B eccelle in:
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* Spiegazioni tecniche
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* Scrittura strutturata
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* Programmazione livello medio
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* Traduzione IT ↔ EN
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* Brainstorming progettuale
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* Assistenti locali offline
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* Supporto allo studio
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|
||||
---
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# 📊 Differenze rispetto ai DAC precedenti
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✔ Maggiore stabilità nelle risposte lunghe
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✔ Meno ripetizioni
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✔ Migliore controllo del tono
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✔ Risposte più dirette
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✔ Migliore allineamento alle istruzioni
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DAC5 rappresenta il punto più alto raggiunto finora nella serie.
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|
||||
---
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||||
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# ⚠️ Limitazioni
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||||
|
||||
* Contesto di training effettivo: 1024 token
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* Non ottimizzato per tool calling complesso
|
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* Non specializzato in matematica avanzata
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* Può degradare su reasoning multi-step molto profondo
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* Modello sperimentale
|
||||
|
||||
---
|
||||
|
||||
# 💻 Requisiti Hardware
|
||||
|
||||
### Inference consigliata
|
||||
|
||||
* GPU 6–8GB VRAM (quantizzato)
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* Oppure CPU moderna con GGUF
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Compatibile con:
|
||||
|
||||
* PC consumer
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* Mini workstation
|
||||
* Sistemi edge
|
||||
* Setup locali offline
|
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|
||||
---
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||||
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# 🔬 Filosofia DAC
|
||||
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La serie DAC nasce con l'obiettivo di:
|
||||
|
||||
> Spingere al massimo modelli compatti, ottimizzando qualità reale invece di scalare solo i parametri.
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|
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DAC5-3B è il risultato più maturo di questa filosofia:
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qualità elevata su architettura 3B con risorse contenute.
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|
||||
---
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||||
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# 🧪 Stato del Modello
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||||
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||||
🟡 **Sperimentale ma stabile**
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È il miglior modello della serie DAC fino ad oggi, ma rimane parte di un ciclo evolutivo continuo.
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---
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||||
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## 📚 Citation
|
||||
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||||
Se utilizzi **Mattimax/DAC5-3B** nei tuoi lavori di ricerca, progetti o pubblicazioni, puoi citarlo nel seguente modo:
|
||||
|
||||
```bibtex
|
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@misc{mattimax_dac5_3b_2026,
|
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author = {Mattimax},
|
||||
title = {DAC5-3B: Fifth Iteration of the Dynamic Adaptive Core Series},
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||||
year = {2026},
|
||||
publisher = {Hugging Face},
|
||||
organization = {MINC01},
|
||||
note = {Experimental Italian-specialized 3B language model},
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url = {https://huggingface.co/Mattimax/DAC5-3B}
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||||
}
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||||
```
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Citazione testuale breve:
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> Mattimax. *DAC5-3B: Fifth Iteration of the Dynamic Adaptive Core Series*. 2026. MINC01 Research Lab.
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||||
|
||||
---
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||||
|
||||
---
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||||
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||||
## 🇬🇧 ENGLISH
|
||||
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||||
# 📘 Model Card — Mattimax/DAC5-3B
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||||
|
||||
## 🧠 General Information
|
||||
|
||||
* **Name:** Mattimax/DAC5-3B
|
||||
* **Series:** DAC (DATA-AI Chat) – 5th version
|
||||
* **Author:** Mattimax
|
||||
* **Research Lab / Company:** MINC01
|
||||
* **Base Model:** Qwen – Qwen2.5-3B-Instruct
|
||||
|
||||
DAC5-3B is currently the most advanced and experimental model in the DAC series, designed to maximize conversational quality, integrating better with **MCP servers** and technical performance on a 3B architecture.
|
||||
|
||||
---
|
||||
|
||||
# 🏗 Technical Architecture
|
||||
|
||||
### Core Architecture
|
||||
|
||||
* **Architecture:** Qwen2ForCausalLM
|
||||
* **Parameters:** ~3B
|
||||
* **Number of layers:** 36
|
||||
* **Hidden size:** 2048
|
||||
* **Intermediate size:** 11008
|
||||
* **Attention heads:** 16
|
||||
* **Key/Value heads (GQA):** 2
|
||||
* **Activation:** SiLU
|
||||
* **Norm:** RMSNorm (eps 1e-6)
|
||||
* **Tie word embeddings:** Yes
|
||||
|
||||
### Attention
|
||||
|
||||
* Full attention across all 36 layers
|
||||
* Attention dropout: 0.0
|
||||
* Sliding window: disabled
|
||||
* GQA (Grouped Query Attention) → improved memory efficiency
|
||||
|
||||
### Positional Encoding
|
||||
|
||||
* **Max position embeddings:** 32768
|
||||
* **RoPE theta:** 1,000,000
|
||||
* RoPE scaling: None
|
||||
|
||||
### Precision & Performance
|
||||
|
||||
* Torch dtype: bfloat16
|
||||
* Training quantization: 4-bit (NF4)
|
||||
* Cache enabled for inference
|
||||
* Optimized with Unsloth (fixed build 2026.2.1)
|
||||
|
||||
### Tokenizer
|
||||
|
||||
* **Vocab size:** 151,936
|
||||
* EOS token id: 151645
|
||||
* PAD token id: 151654
|
||||
|
||||
---
|
||||
|
||||
# 🎯 Model Objective
|
||||
|
||||
DAC5-3B was designed for:
|
||||
|
||||
* 🇮🇹 Maximum Italian language quality
|
||||
* ⚡ High efficiency on consumer GPUs
|
||||
* 🧩 Coherent multi-turn conversations
|
||||
* 🛠️ Technical support and light coding
|
||||
* 🧠 Improved stability compared to previous DAC versions
|
||||
|
||||
It is oriented toward independent developers, makers, and offline systems (such as OpenClaw, Claude Code, OpenCode, etc.).
|
||||
|
||||
---
|
||||
|
||||
# 📚 Dataset & Specialization
|
||||
|
||||
Supervised fine-tuning was performed on a highly curated mix of Italian datasets:
|
||||
|
||||
* Camoscio-ITA
|
||||
* DACMini Refined
|
||||
* High-quality synthetic Italian conversations
|
||||
|
||||
### Strategy
|
||||
|
||||
* Limited but high-density dataset (~20k samples)
|
||||
* Noise minimization
|
||||
* Focus on clarity and coherence
|
||||
* Reduction of generic 3B-style responses
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|
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---
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|
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# 🚀 Core Capabilities
|
||||
|
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DAC5-3B excels at:
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|
||||
* Technical explanations
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* Structured writing
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* Intermediate-level programming
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* IT ↔ EN translation
|
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* Project brainstorming
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||||
* Offline local assistants
|
||||
* Study support
|
||||
|
||||
---
|
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|
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# 📊 Differences from Previous DAC Versions
|
||||
|
||||
✔ Greater stability in long responses
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||||
✔ Fewer repetitions
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✔ Better tone control
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✔ More direct answers
|
||||
✔ Improved instruction alignment
|
||||
|
||||
DAC5 represents the highest point reached so far in the series.
|
||||
|
||||
---
|
||||
|
||||
# ⚠️ Limitations
|
||||
|
||||
* Effective training context: 1024 tokens
|
||||
* Not optimized for advanced tool calling
|
||||
* Not specialized in advanced mathematics
|
||||
* May degrade in very deep multi-step reasoning
|
||||
* Experimental model
|
||||
|
||||
---
|
||||
|
||||
# 💻 Hardware Requirements
|
||||
|
||||
### Recommended Inference
|
||||
|
||||
* 6–8GB VRAM GPU (quantized)
|
||||
* Or modern CPU with GGUF
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||||
|
||||
Compatible with:
|
||||
|
||||
* Consumer PCs
|
||||
* Mini workstations
|
||||
* Edge systems
|
||||
* Offline local setups
|
||||
|
||||
---
|
||||
|
||||
# 🔬 DAC Philosophy
|
||||
|
||||
The DAC series was created with the goal of:
|
||||
|
||||
> Pushing compact models to their limits, optimizing real quality instead of merely scaling parameters.
|
||||
|
||||
DAC5-3B is the most mature result of this philosophy:
|
||||
high quality on a 3B architecture with limited resources.
|
||||
|
||||
---
|
||||
|
||||
# 🧪 Model Status
|
||||
|
||||
🟡 **Experimental but stable**
|
||||
It is the best model in the DAC series to date, but remains part of an ongoing evolutionary cycle.
|
||||
|
||||
---
|
||||
|
||||
## 📚 Citation
|
||||
|
||||
If you use **Mattimax/DAC5-3B** in research work, projects, or publications, you may cite it as follows:
|
||||
|
||||
```bibtex
|
||||
@misc{mattimax_dac5_3b_2026,
|
||||
author = {Mattimax},
|
||||
title = {DAC5-3B: Fifth Iteration of the Dynamic Adaptive Core Series},
|
||||
year = {2026},
|
||||
publisher = {Hugging Face},
|
||||
organization = {MINC01},
|
||||
note = {Experimental Italian-specialized 3B language model},
|
||||
url = {https://huggingface.co/Mattimax/DAC5-3B}
|
||||
}
|
||||
```
|
||||
|
||||
Short textual citation:
|
||||
|
||||
> Mattimax. *DAC5-3B: Fifth Iteration of the Dynamic Adaptive Core Series*. 2026. MINC01 Research Lab.
|
||||
24
added_tokens.json
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added_tokens.json
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53
chat_template.jinja
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53
chat_template.jinja
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{%- if tools %}
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- messages[0]['content'] }}
|
||||
{%- else %}
|
||||
{{- 'You are DAC5, created by M.INC. You are a helpful assistant.' }}
|
||||
{%- endif %}
|
||||
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
||||
{%- else %}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>system\nYou are DAC5, created by M.INC. You are a helpful assistant.<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- for message in messages %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{{- '<|im_start|>' + message.role }}
|
||||
{%- if message.content %}
|
||||
{{- '\n' + message.content }}
|
||||
{%- endif %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if tool_call.function is defined %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} {{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{{- '<|im_start|>assistant\n' }}
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67
config.json
Normal file
67
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Normal file
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151388
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151388
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31
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Normal file
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213
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|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are DAC5, created by M.INC. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are DAC5, created by M.INC. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %} {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n"
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user