Gemma-2b-it
Original Model
Run with LlamaEdge
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LlamaEdge version: v0.3.2
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Prompt template
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Prompt type:
gemma-instruct -
Prompt string
<start_of_turn>user {user_message}<end_of_turn> <start_of_turn>model {model_message}<end_of_turn>model
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Context size:
2048 -
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-2b-it-Q5_K_M.gguf llama-api-server.wasm -p gemma-instruct -c 4096 -
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-2b-it-Q5_K_M.gguf llama-chat.wasm -p gemma-instruct -c 4096
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| gemma-2b-it-Q2_K.gguf | Q2_K | 2 | 900 MB | smallest, significant quality loss - not recommended for most purposes |
| gemma-2b-it-Q3_K_L.gguf | Q3_K_L | 3 | 1.26 GB | small, substantial quality loss |
| gemma-2b-it-Q3_K_M.gguf | Q3_K_M | 3 | 1.18 GB | very small, high quality loss |
| gemma-2b-it-Q3_K_S.gguf | Q3_K_S | 3 | 1.08 GB | very small, high quality loss |
| gemma-2b-it-Q4_0.gguf | Q4_0 | 4 | 1.42 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| gemma-2b-it-Q4_K_M.gguf | Q4_K_M | 4 | 1.5 GB | medium, balanced quality - recommended |
| gemma-2b-it-Q4_K_S.gguf | Q4_K_S | 4 | 1.42 GB | small, greater quality loss |
| gemma-2b-it-Q5_0.gguf | Q5_0 | 5 | 1.73 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| gemma-2b-it-Q5_K_M.gguf | Q5_K_M | 5 | 1.77 GB | large, very low quality loss - recommended |
| gemma-2b-it-Q5_K_S.gguf | Q5_K_S | 5 | 1.73 GB | large, low quality loss - recommended |
| gemma-2b-it-Q6_K.gguf | Q6_K | 6 | 2.06 GB | very large, extremely low quality loss |
| gemma-2b-it-Q8_0.gguf | Q8_0 | 8 | 2.67 GB | very large, extremely low quality loss - not recommended |
Quantized with llama.cpp b2230