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Yi-1.5-6B - GGUF

Name Quant method Size
Yi-1.5-6B.Q2_K.gguf Q2_K 2.18GB
Yi-1.5-6B.IQ3_XS.gguf IQ3_XS 2.41GB
Yi-1.5-6B.IQ3_S.gguf IQ3_S 2.53GB
Yi-1.5-6B.Q3_K_S.gguf Q3_K_S 2.52GB
Yi-1.5-6B.IQ3_M.gguf IQ3_M 2.62GB
Yi-1.5-6B.Q3_K.gguf Q3_K 2.79GB
Yi-1.5-6B.Q3_K_M.gguf Q3_K_M 2.79GB
Yi-1.5-6B.Q3_K_L.gguf Q3_K_L 3.01GB
Yi-1.5-6B.IQ4_XS.gguf IQ4_XS 3.11GB
Yi-1.5-6B.Q4_0.gguf Q4_0 3.24GB
Yi-1.5-6B.IQ4_NL.gguf IQ4_NL 3.27GB
Yi-1.5-6B.Q4_K_S.gguf Q4_K_S 3.26GB
Yi-1.5-6B.Q4_K.gguf Q4_K 3.42GB
Yi-1.5-6B.Q4_K_M.gguf Q4_K_M 3.42GB
Yi-1.5-6B.Q4_1.gguf Q4_1 3.58GB
Yi-1.5-6B.Q5_0.gguf Q5_0 3.92GB
Yi-1.5-6B.Q5_K_S.gguf Q5_K_S 3.92GB
Yi-1.5-6B.Q5_K.gguf Q5_K 4.01GB
Yi-1.5-6B.Q5_K_M.gguf Q5_K_M 4.01GB
Yi-1.5-6B.Q5_1.gguf Q5_1 4.25GB
Yi-1.5-6B.Q6_K.gguf Q6_K 4.63GB
Yi-1.5-6B.Q8_0.gguf Q8_0 6.0GB

Original model description:

license: apache-2.0

πŸ™ GitHub β€’ πŸ‘Ύ Discord β€’ 🐀 Twitter β€’ πŸ’¬ WeChat
πŸ“ Paper β€’ πŸ’ͺ Tech Blog β€’ πŸ™Œ FAQ β€’ πŸ“— Learning Hub

Intro

Yi-1.5 is an upgraded version of Yi. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples.

Compared with Yi, Yi-1.5 delivers stronger performance in coding, math, reasoning, and instruction-following capability, while still maintaining excellent capabilities in language understanding, commonsense reasoning, and reading comprehension.

Model Context Length Pre-trained Tokens
Yi-1.5 4K, 16K, 32K 3.6T

Models

Benchmarks

  • Chat models

    Yi-1.5-34B-Chat is on par with or excels beyond larger models in most benchmarks.

    image/png

    Yi-1.5-9B-Chat is the top performer among similarly sized open-source models.

    image/png

  • Base models

    Yi-1.5-34B is on par with or excels beyond larger models in some benchmarks.

    image/png

    Yi-1.5-9B is the top performer among similarly sized open-source models.

    image/png

Quick Start

For getting up and running with Yi-1.5 models quickly, see README.

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Inference API
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