ModelHub XC b80fb33640 初始化项目,由ModelHub XC社区提供模型
Model: second-state/CodeGemma-7b-it-GGUF
Source: Original Platform
2026-08-16 11:57:13 +08:00

base_model, inference, library_name, license, model_creator, model_name, quantized_by, pipeline_tag
base_model inference library_name license model_creator model_name quantized_by pipeline_tag
google/codegemma-7b-it false transformers gemma Google CodeGemma 7B (IT) Second State Inc. text-generation

CodeGemma-7b-it-GGUF

Original Model

google/codegemma-7b-it

Run with LlamaEdge

  • LlamaEdge version: v0.8.1 and above

  • Prompt template

    • Prompt type: gemma-instruct

    • Prompt string

      <bos><start_of_turn>user
      {user_message}<end_of_turn>
      <start_of_turn>model
      {model_message}<end_of_turn>model
      
  • Context size: 3072

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:codegemma-7b-it-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template gemma-instruct \
      --ctx-size 3072 \
      --model-name codegemma-7b
    

Quantized GGUF Models

Name Quant method Bits Size Use case
codegemma-7b-it-Q2_K.gguf Q2_K 2 3.48 GB smallest, significant quality loss - not recommended for most purposes
codegemma-7b-it-Q3_K_L.gguf Q3_K_L 3 4.71 GB small, substantial quality loss
codegemma-7b-it-Q3_K_M.gguf Q3_K_M 3 4.37 GB very small, high quality loss
codegemma-7b-it-Q3_K_S.gguf Q3_K_S 3 3.98 GB very small, high quality loss
codegemma-7b-it-Q4_0.gguf Q4_0 4 5.01 GB legacy; small, very high quality loss - prefer using Q3_K_M
codegemma-7b-it-Q4_K_M.gguf Q4_K_M 4 5.33 GB medium, balanced quality - recommended
codegemma-7b-it-Q4_K_S.gguf Q4_K_S 4 5.05 GB small, greater quality loss
codegemma-7b-it-Q5_0.gguf Q5_0 5 5.98 GB legacy; medium, balanced quality - prefer using Q4_K_M
codegemma-7b-it-Q5_K_M.gguf Q5_K_M 5 6.14 GB large, very low quality loss - recommended
codegemma-7b-it-Q5_K_S.gguf Q5_K_S 5 5.98 GB large, low quality loss - recommended
codegemma-7b-it-Q6_K.gguf Q6_K 6 7.01 GB very large, extremely low quality loss
codegemma-7b-it-Q8_0.gguf Q8_0 8 9.08 GB very large, extremely low quality loss - not recommended
codegemma-7b-it-f16.gguf f16 16 17.1 GB

Quantized with llama.cpp b2589

Description
Model synced from source: second-state/CodeGemma-7b-it-GGUF
Readme 27 KiB