LlamaEdge version: v0.2.8 and above
Prompt template
- Prompt type: chatml
- Prompt string
  
  text
  1<|im_start|>system 2{system_message}<|im_end|> 3<|im_start|>user 4{prompt}<|im_end|> 5<|im_start|>assistant
- Reverse prompt: <|im_end|>
Context size: 7168
Run as LlamaEdge service

wasmedge --dir .:. --nn-preload default:GGML:AUTO:dolphin-2_2-yi-34b-Q5_K_M.gguf llama-api-server.wasm -p chatml -r '<|im_end|>'
Run as LlamaEdge command app

wasmedge --dir .:. --nn-preload default:GGML:AUTO:dolphin-2_2-yi-34b-Q5_K_M.gguf llama-chat.wasm -p chatml -r '<|im_end|>' -s 'You are a helpful AI assistant'

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
dolphin-2_2-yi-34b-Q2_K.gguf	Q2_K	2	12.8 GB	smallest, significant quality loss - not recommended for most purposes
dolphin-2_2-yi-34b-Q3_K_L.gguf	Q3_K_L	3	18.1 GB	small, substantial quality loss
dolphin-2_2-yi-34b-Q3_K_M.gguf	Q3_K_M	3	16.7 GB	very small, high quality loss
dolphin-2_2-yi-34b-Q3_K_S.gguf	Q3_K_S	3	15.0 GB	very small, high quality loss
dolphin-2_2-yi-34b-Q4_0.gguf	Q4_0	4	19.5 GB	legacy; small, very high quality loss - prefer using Q3_K_M
dolphin-2_2-yi-34b-Q4_K_M.gguf	Q4_K_M	4	20.7 GB	medium, balanced quality - recommended
dolphin-2_2-yi-34b-Q4_K_S.gguf	Q4_K_S	4	19.6 GB	small, greater quality loss
dolphin-2_2-yi-34b-Q5_0.gguf	Q5_0	5	23.7 GB	legacy; medium, balanced quality - prefer using Q4_K_M
dolphin-2_2-yi-34b-Q5_K_M.gguf	Q5_K_M	5	24.3 GB	large, very low quality loss - recommended
dolphin-2_2-yi-34b-Q5_K_S.gguf	Q5_K_S	5	23.7 GB	large, low quality loss - recommended
dolphin-2_2-yi-34b-Q6_K.gguf	Q6_K	6	28.2 GB	very large, extremely low quality loss
dolphin-2_2-yi-34b-Q8_0.gguf	Q8_0	8	36.5 GB	very large, extremely low quality loss - not recommended

second-state/Dolphin-2.2-Yi-34B-GGUF