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README.md
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license: apache-2.0
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---
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-
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APUS-xDAN-4.0-MOE is a transformer-based decoder-only language model, developed on a vast corpus of data to ensure robust performance.
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Through advanced quantization techniques, our open-source version occupies a mere 42GB, making it seamlessly compatible with consumer-grade GPUs like the 4090 and 3090.
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The following specifications:
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- **Parameters:**
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- **Architecture:** Mixture of 4 Experts (MoE)
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- **Experts Utilization:** 2 experts used per token
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- **Layers:** 60
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- **Additional Features:**
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- Rotary embeddings (RoPE)
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- Supports activation sharding and 1.5bit~4bit quantization
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- **Maximum Sequence Length (context):** 32,768 tokens
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## Usage
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### Initial
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### Interactive Chat
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```python
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./main -m xDAN-
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--prompt "You are a helpful assistant." --chatml \
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--interactive \
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--temp 0.7 \
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license: apache-2.0
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---
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
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## Introduction
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APUS-xDAN-4.0-MOE is a transformer-based decoder-only language model, developed on a vast corpus of data to ensure robust performance.
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Through advanced quantization techniques, our open-source version occupies a mere 42GB, making it seamlessly compatible with consumer-grade GPUs like the 4090 and 3090.
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The following specifications:
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- **Parameters:** 136B
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- **Architecture:** Mixture of 4 Experts (MoE)
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- **Experts Utilization:** 2 experts used per token
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- **Layers:** 60
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- **Additional Features:**
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- Rotary embeddings (RoPE)
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- Supports activation sharding and 1.5bit~4bit quantization
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- **Maximum Sequence Length (context):** 32,768 tokens
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## Usage
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### Initial
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### Interactive Chat
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```python
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./main -m APUS-xDAN-4.0-quanzied_version.gguf \
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--prompt "You are a helpful assistant." --chatml \
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--interactive \
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--temp 0.7 \
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