Qwen2 57B A14B Instruct GGUF 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 (57B A14B). 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. In this repo, we provide quantized models in the GGUF formats, including q2 k , q3 k m , q4 0 , q4 k m , q5 0 , q5 k m , q6 k and q8 0 . This is the GGUF repo for Qwen2 57B A14B Instruct, which is an MoE model. 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 b…
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