codegeex4

A versatile model for AI software development scenarios, including code completion.

9b
Hızlı Kurulum (Ollama kuruluysa)
ollama run codegeex4

Ollama kurulu değil mi? ollama.com/download — Windows, macOS ve Linux için ücretsiz. İlk çalıştırmada model indirilir, sonrası tamamen çevrimdışıdır.

Varyantlar

Boyut büyüdükçe kalite artar, donanım ihtiyacı yükselir. Başlangıç için küçük varyantı deneyin.

EtiketBoyutBağlamGirdiKomut
latest 5.5GB 128K Text ollama run codegeex4:latest
9b 5.5GB 128K Text ollama run codegeex4:9b
9b-all-q2_K 4.0GB 128K Text ollama run codegeex4:9b-all-q2_K
9b-all-q3_K_S 4.6GB 128K Text ollama run codegeex4:9b-all-q3_K_S
9b-all-q3_K_M 5.1GB 128K Text ollama run codegeex4:9b-all-q3_K_M
9b-all-q3_K_L 5.3GB 128K Text ollama run codegeex4:9b-all-q3_K_L
9b-all-q4_0 5.5GB 128K Text ollama run codegeex4:9b-all-q4_0
9b-all-q4_1 6.0GB 128K Text ollama run codegeex4:9b-all-q4_1
9b-all-q4_K_S 5.8GB 128K Text ollama run codegeex4:9b-all-q4_K_S
9b-all-q4_K_M 6.3GB 128K Text ollama run codegeex4:9b-all-q4_K_M
9b-all-q5_0 6.6GB 128K Text ollama run codegeex4:9b-all-q5_0
9b-all-q5_1 7.1GB 128K Text ollama run codegeex4:9b-all-q5_1
9b-all-q5_K_S 6.7GB 128K Text ollama run codegeex4:9b-all-q5_K_S
9b-all-q5_K_M 7.1GB 128K Text ollama run codegeex4:9b-all-q5_K_M
9b-all-q6_K 8.3GB 128K Text ollama run codegeex4:9b-all-q6_K
9b-all-q8_0 10.0GB 128K Text ollama run codegeex4:9b-all-q8_0
9b-all-fp16 19GB 128K Text ollama run codegeex4:9b-all-fp16

Model Detayları ve Benchmarklar (kaynak: ollama.com)

logo.jpg

Note: this model requires Ollama 0.2 or later.

CodeGeeX4 is an open multilingual code generation model continually trained on the GLM-4-9B, significantly enhancing its code generation capabilities.

CodeGeeX4-ALL-9B has achieved highly competitive performance on public benchmarks, such as BigCodeBench and NaturalCodeBench. It is currently the most powerful code generation model with less than 10B parameters, even surpassing much larger general-purpose models, achieving the best balance in terms of inference speed and model performance.

References

GitHub

Hugging Face