Gemma-2-9B-Chinese-Chat-GGUF
Original Model
shenzhi-wang/Gemma-2-9B-Chinese-Chat
Run with LlamaEdge
LlamaEdge version: v0.12.1 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:
8192
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Gemma-2-9B-Chinese-Chat-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template gemma-instruct \ --ctx-size 8192 \ --model-name gemma-2-9b
Run as LlamaEdge command app
wasmedge --dir .:. \ --nn-preload default:GGML:AUTO:Gemma-2-9B-Chinese-Chat-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template gemma-instruct \ --ctx-size 8192
Quantized GGUF Models
Name | Quant method | Bits | Size | Use case |
---|---|---|---|---|
Gemma-2-9B-Chinese-Chat-Q2_K.gguf | Q2_K | 2 | 3.81 GB | smallest, significant quality loss - not recommended for most purposes |
Gemma-2-9B-Chinese-Chat-Q3_K_L.gguf | Q3_K_L | 3 | 5.13 GB | small, substantial quality loss |
Gemma-2-9B-Chinese-Chat-Q3_K_M.gguf | Q3_K_M | 3 | 4.76 GB | very small, high quality loss |
Gemma-2-9B-Chinese-Chat-Q3_K_S.gguf | Q3_K_S | 3 | 4.34 GB | very small, high quality loss |
Gemma-2-9B-Chinese-Chat-Q4_0.gguf | Q4_0 | 4 | 5.44 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
Gemma-2-9B-Chinese-Chat-Q4_K_M.gguf | Q4_K_M | 4 | 5.76 GB | medium, balanced quality - recommended |
Gemma-2-9B-Chinese-Chat-Q4_K_S.gguf | Q4_K_S | 4 | 5.48 GB | small, greater quality loss |
Gemma-2-9B-Chinese-Chat-Q5_0.gguf | Q5_0 | 5 | 6.48 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
Gemma-2-9B-Chinese-Chat-Q5_K_M.gguf | Q5_K_M | 5 | 6.65 GB | large, very low quality loss - recommended |
Gemma-2-9B-Chinese-Chat-Q5_K_S.gguf | Q5_K_S | 5 | 6.48 GB | large, low quality loss - recommended |
Gemma-2-9B-Chinese-Chat-Q6_K.gguf | Q6_K | 6 | 7.59 GB | very large, extremely low quality loss |
Gemma-2-9B-Chinese-Chat-Q8_0.gguf | Q8_0 | 8 | 9.83 GB | very large, extremely low quality loss - not recommended |
Gemma-2-9B-Chinese-Chat-f16.gguf | f16 | 16 | 18.5 GB |
Quantized with llama.cpp b3259
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