Yi-1.5-9B-Chat-16K-GGUF
Original Model
Run with LlamaEdge
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LlamaEdge version: coming soon
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Prompt template
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Prompt type:
chatml -
Prompt string
<|im_start|>system {system_message}<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant
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Context size:
16384 -
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-1.5-9B-Chat-16K-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template chatml \ --reverse-prompt "<|im_end|>" \ --ctx-size 16384 \ --model-name Yi-1.5-9B-Chat-16K -
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-1.5-9B-Chat-16K-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template chatml \ --reverse-prompt "<|im_end|>" \ --ctx-size 16384
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| Yi-1.5-9B-Chat-16K-Q2_K.gguf | Q2_K | 2 | 3.35 GB | smallest, significant quality loss - not recommended for most purposes |
| Yi-1.5-9B-Chat-16K-Q3_K_L.gguf | Q3_K_L | 3 | 4.69 GB | small, substantial quality loss |
| Yi-1.5-9B-Chat-16K-Q3_K_M.gguf | Q3_K_M | 3 | 4.32 GB | very small, high quality loss |
| Yi-1.5-9B-Chat-16K-Q3_K_S.gguf | Q3_K_S | 3 | 3.9 GB | very small, high quality loss |
| Yi-1.5-9B-Chat-16K-Q4_0.gguf | Q4_0 | 4 | 5.04 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Yi-1.5-9B-Chat-16K-Q4_K_M.gguf | Q4_K_M | 4 | 5.33 GB | medium, balanced quality - recommended |
| Yi-1.5-9B-Chat-16K-Q4_K_S.gguf | Q4_K_S | 4 | 5.07 GB | small, greater quality loss |
| Yi-1.5-9B-Chat-16K-Q5_0.gguf | Q5_0 | 5 | 6.11 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Yi-1.5-9B-Chat-16K-Q5_K_M.gguf | Q5_K_M | 5 | 6.26 GB | large, very low quality loss - recommended |
| Yi-1.5-9B-Chat-16K-Q5_K_S.gguf | Q5_K_S | 5 | 6.11 GB | large, low quality loss - recommended |
| Yi-1.5-9B-Chat-16K-Q6_K.gguf | Q6_K | 6 | 7.25 GB | very large, extremely low quality loss |
| Yi-1.5-9B-Chat-16K-Q8_0.gguf | Q8_0 | 8 | 9.38 GB | very large, extremely low quality loss - not recommended |
| Yi-1.5-9B-Chat-16K-f16.gguf | f16 | 16 | 17.7 GB |
Quantized with llama.cpp b3135