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Model: Mattimax/DAC5-3B Source: Original Platform
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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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### Positional Encoding
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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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* 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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* **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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# ⚠️ 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
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---
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# 💻 Requisiti Hardware
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### Inference consigliata
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* GPU 6–8GB VRAM (quantizzato)
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* Oppure CPU moderna con GGUF
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Compatibile con:
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* PC consumer
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* Mini workstation
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* Sistemi edge
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* Setup locali offline
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---
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# 🔬 Filosofia DAC
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La serie DAC nasce con l'obiettivo di:
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> Spingere al massimo modelli compatti, ottimizzando qualità reale invece di scalare solo i parametri.
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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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# 🧪 Stato del Modello
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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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## 📚 Citation
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||||||
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Se utilizzi **Mattimax/DAC5-3B** nei tuoi lavori di ricerca, progetti o pubblicazioni, puoi citarlo nel seguente modo:
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||||||
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```bibtex
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@misc{mattimax_dac5_3b_2026,
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author = {Mattimax},
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title = {DAC5-3B: Fifth Iteration of the Dynamic Adaptive Core Series},
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year = {2026},
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publisher = {Hugging Face},
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organization = {MINC01},
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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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## 🇬🇧 ENGLISH
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# 📘 Model Card — Mattimax/DAC5-3B
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## 🧠 General Information
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* **Name:** Mattimax/DAC5-3B
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* **Series:** DAC (DATA-AI Chat) – 5th version
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* **Author:** Mattimax
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* **Research Lab / Company:** MINC01
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* **Base Model:** Qwen – Qwen2.5-3B-Instruct
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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.
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---
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# 🏗 Technical Architecture
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### Core Architecture
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* **Architecture:** Qwen2ForCausalLM
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* **Parameters:** ~3B
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* **Number of layers:** 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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* **Activation:** 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 across all 36 layers
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* Attention dropout: 0.0
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* Sliding window: disabled
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* GQA (Grouped Query Attention) → improved memory efficiency
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|
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### Positional Encoding
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||||||
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||||||
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* **Max position embeddings:** 32768
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||||||
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* **RoPE theta:** 1,000,000
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* RoPE scaling: None
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||||||
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### Precision & Performance
|
||||||
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* Torch dtype: bfloat16
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* Training quantization: 4-bit (NF4)
|
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* Cache enabled for inference
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* Optimized with Unsloth (fixed build 2026.2.1)
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||||||
|
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||||||
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### Tokenizer
|
||||||
|
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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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# 🎯 Model Objective
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DAC5-3B was designed for:
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* 🇮🇹 Maximum Italian language quality
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* ⚡ High efficiency on consumer GPUs
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* 🧩 Coherent multi-turn conversations
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* 🛠️ Technical support and light coding
|
||||||
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* 🧠 Improved stability compared to previous DAC versions
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||||||
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||||||
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It is oriented toward independent developers, makers, and offline systems (such as OpenClaw, Claude Code, OpenCode, etc.).
|
||||||
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||||||
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---
|
||||||
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|
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# 📚 Dataset & Specialization
|
||||||
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|
||||||
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Supervised fine-tuning was performed on a highly curated mix of Italian datasets:
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* Camoscio-ITA
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* DACMini Refined
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* High-quality synthetic Italian conversations
|
||||||
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||||||
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### Strategy
|
||||||
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|
||||||
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* Limited but high-density dataset (~20k samples)
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* Noise minimization
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||||||
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* Focus on clarity and coherence
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||||||
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* Reduction of generic 3B-style responses
|
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---
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# 🚀 Core Capabilities
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||||||
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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
|
||||||
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* Study support
|
||||||
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|
||||||
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---
|
||||||
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|
||||||
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# 📊 Differences from Previous DAC Versions
|
||||||
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|
||||||
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✔ Greater stability in long responses
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✔ Fewer repetitions
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||||||
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✔ Better tone control
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||||||
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✔ More direct answers
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✔ Improved instruction alignment
|
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||||||
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DAC5 represents the highest point reached so far in the series.
|
||||||
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|
||||||
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---
|
||||||
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||||||
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# ⚠️ Limitations
|
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|
|
||||||
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* Effective training context: 1024 tokens
|
||||||
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* Not optimized for advanced tool calling
|
||||||
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* Not specialized in advanced mathematics
|
||||||
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* May degrade in very deep multi-step reasoning
|
||||||
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* Experimental model
|
||||||
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||||||
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---
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||||||
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||||||
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# 💻 Hardware Requirements
|
||||||
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|
||||||
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### Recommended Inference
|
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|
|
||||||
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* 6–8GB VRAM GPU (quantized)
|
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* Or modern CPU with GGUF
|
||||||
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|
||||||
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Compatible with:
|
||||||
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|
||||||
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* Consumer PCs
|
||||||
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* Mini workstations
|
||||||
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* Edge systems
|
||||||
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* Offline local setups
|
||||||
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|
||||||
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---
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||||||
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# 🔬 DAC Philosophy
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|
||||||
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The DAC series was created with the goal of:
|
||||||
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|
||||||
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> Pushing compact models to their limits, optimizing real quality instead of merely scaling parameters.
|
||||||
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|
||||||
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DAC5-3B is the most mature result of this philosophy:
|
||||||
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high quality on a 3B architecture with limited resources.
|
||||||
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|
||||||
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---
|
||||||
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|
||||||
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# 🧪 Model Status
|
||||||
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|
||||||
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🟡 **Experimental but stable**
|
||||||
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It is the best model in the DAC series to date, but remains part of an ongoing evolutionary cycle.
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
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## 📚 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
Normal file
24
added_tokens.json
Normal file
@@ -0,0 +1,24 @@
|
|||||||
|
{
|
||||||
|
"</tool_call>": 151658,
|
||||||
|
"<tool_call>": 151657,
|
||||||
|
"<|box_end|>": 151649,
|
||||||
|
"<|box_start|>": 151648,
|
||||||
|
"<|endoftext|>": 151643,
|
||||||
|
"<|file_sep|>": 151664,
|
||||||
|
"<|fim_middle|>": 151660,
|
||||||
|
"<|fim_pad|>": 151662,
|
||||||
|
"<|fim_prefix|>": 151659,
|
||||||
|
"<|fim_suffix|>": 151661,
|
||||||
|
"<|im_end|>": 151645,
|
||||||
|
"<|im_start|>": 151644,
|
||||||
|
"<|image_pad|>": 151655,
|
||||||
|
"<|object_ref_end|>": 151647,
|
||||||
|
"<|object_ref_start|>": 151646,
|
||||||
|
"<|quad_end|>": 151651,
|
||||||
|
"<|quad_start|>": 151650,
|
||||||
|
"<|repo_name|>": 151663,
|
||||||
|
"<|video_pad|>": 151656,
|
||||||
|
"<|vision_end|>": 151653,
|
||||||
|
"<|vision_pad|>": 151654,
|
||||||
|
"<|vision_start|>": 151652
|
||||||
|
}
|
||||||
53
chat_template.jinja
Normal file
53
chat_template.jinja
Normal file
@@ -0,0 +1,53 @@
|
|||||||
|
{%- 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>' }}
|
||||||
|
{%- endfor %}
|
||||||
|
{{- '<|im_end|>\n' }}
|
||||||
|
{%- elif message.role == "tool" %}
|
||||||
|
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} {{- '<|im_start|>user' }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '\n<tool_response>\n' }}
|
||||||
|
{{- message.content }}
|
||||||
|
{{- '\n</tool_response>' }}
|
||||||
|
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||||
|
{{- '<|im_end|>\n' }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- if add_generation_prompt %}
|
||||||
|
{{- '<|im_start|>assistant\n' }}
|
||||||
|
{%- endif %}
|
||||||
67
config.json
Normal file
67
config.json
Normal file
@@ -0,0 +1,67 @@
|
|||||||
|
{
|
||||||
|
"architectures": [
|
||||||
|
"Qwen2ForCausalLM"
|
||||||
|
],
|
||||||
|
"attention_dropout": 0.0,
|
||||||
|
"torch_dtype": "bfloat16",
|
||||||
|
"eos_token_id": 151645,
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"hidden_size": 2048,
|
||||||
|
"initializer_range": 0.02,
|
||||||
|
"intermediate_size": 11008,
|
||||||
|
"layer_types": [
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention"
|
||||||
|
],
|
||||||
|
"max_position_embeddings": 32768,
|
||||||
|
"max_window_layers": 70,
|
||||||
|
"model_type": "qwen2",
|
||||||
|
"num_attention_heads": 16,
|
||||||
|
"num_hidden_layers": 36,
|
||||||
|
"num_key_value_heads": 2,
|
||||||
|
"pad_token_id": 151654,
|
||||||
|
"rms_norm_eps": 1e-06,
|
||||||
|
"rope_scaling": null,
|
||||||
|
"rope_theta": 1000000.0,
|
||||||
|
"sliding_window": null,
|
||||||
|
"tie_word_embeddings": true,
|
||||||
|
"unsloth_fixed": true,
|
||||||
|
"unsloth_version": "2026.2.1",
|
||||||
|
"use_cache": true,
|
||||||
|
"use_sliding_window": false,
|
||||||
|
"vocab_size": 151936
|
||||||
|
}
|
||||||
151388
merges.txt
Normal file
151388
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model-00001-of-00002.safetensors
Normal file
3
model-00001-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:c1d88295595e22183913583de6f77e8b3d05ef46278166ce1857cacbcdc1b965
|
||||||
|
size 3968658944
|
||||||
3
model-00002-of-00002.safetensors
Normal file
3
model-00002-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:baf8786d784749ee293fca3c2a5e4c468c4104912f0b03a8506eca7185bb46dd
|
||||||
|
size 2203268048
|
||||||
441
model.safetensors.index.json
Normal file
441
model.safetensors.index.json
Normal file
@@ -0,0 +1,441 @@
|
|||||||
|
{
|
||||||
|
"metadata": {
|
||||||
|
"total_size": 6171877376
|
||||||
|
},
|
||||||
|
"weight_map": {
|
||||||
|
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||||
|
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
||||||
|
}
|
||||||
|
}
|
||||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
|||||||
|
{
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": {
|
||||||
|
"content": "<|vision_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||||
|
size 11421896
|
||||||
213
tokenizer_config.json
Normal file
213
tokenizer_config.json
Normal file
@@ -0,0 +1,213 @@
|
|||||||
|
{
|
||||||
|
"add_bos_token": false,
|
||||||
|
"add_prefix_space": false,
|
||||||
|
"added_tokens_decoder": {
|
||||||
|
"151643": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151644": {
|
||||||
|
"content": "<|im_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151645": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151646": {
|
||||||
|
"content": "<|object_ref_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151647": {
|
||||||
|
"content": "<|object_ref_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151648": {
|
||||||
|
"content": "<|box_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151649": {
|
||||||
|
"content": "<|box_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151650": {
|
||||||
|
"content": "<|quad_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151651": {
|
||||||
|
"content": "<|quad_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151652": {
|
||||||
|
"content": "<|vision_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151653": {
|
||||||
|
"content": "<|vision_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151654": {
|
||||||
|
"content": "<|vision_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151655": {
|
||||||
|
"content": "<|image_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151656": {
|
||||||
|
"content": "<|video_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151657": {
|
||||||
|
"content": "<tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151658": {
|
||||||
|
"content": "</tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151659": {
|
||||||
|
"content": "<|fim_prefix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151660": {
|
||||||
|
"content": "<|fim_middle|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151661": {
|
||||||
|
"content": "<|fim_suffix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151662": {
|
||||||
|
"content": "<|fim_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151663": {
|
||||||
|
"content": "<|repo_name|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151664": {
|
||||||
|
"content": "<|file_sep|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"bos_token": null,
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|im_end|>",
|
||||||
|
"errors": "replace",
|
||||||
|
"extra_special_tokens": {},
|
||||||
|
"max_length": 1024,
|
||||||
|
"model_max_length": 32768,
|
||||||
|
"pad_token": "<|vision_pad|>",
|
||||||
|
"padding_side": "right",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"stride": 0,
|
||||||
|
"tokenizer_class": "Qwen2Tokenizer",
|
||||||
|
"truncation_side": "right",
|
||||||
|
"truncation_strategy": "longest_first",
|
||||||
|
"unk_token": null,
|
||||||
|
"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