Qwen2 1.5B Instruct GPTQ Int4 Introduction Qwen2 is the new series of Qwen large language models. For Qwen2, we release a number of base language models and instruction tuned language models ranging from 0.5 to 72 billion parameters, including a Mixture of Experts model. This repo contains the instruction tuned 1.5B Qwen2 model. Compared with the state of the art opensource language models, including the previous released Qwen1.5, Qwen2 has generally surpassed most opensource models and demonstrated competitiveness against proprietary models across a series of benchmarks targeting for language understanding, language generation, multilingual capability, coding, mathematics, reasoning, etc. For more details, please refer to our blog, GitHub, and Documentation. Note : If you encounter RuntimeError: probability tensor contains either inf , nan or element =0.7.1 or deploying this model with vLLM. Model Details Qwen2 is a language model series including decoder language models of different model sizes. For each size, we release the base language model and the aligned chat model. It is based on the Transformer architecture with SwiGLU activation, attention QKV bias, group query attention…
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