Yi-Coder-9B-Chat-GGUF
Original Model
Run with LlamaEdge
LlamaEdge version: v0.14.2 and above
Prompt template
Prompt type:
chatml
Prompt string
<|im_start|>system {system_message}<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant
Reverse prompt:
<|im_end|>
Context size:
128000
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-Coder-9B-Chat-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template chatml \ --reverse-prompt "<|im_end|>" \ --ctx-size 128000 \ --model-name Yi-Coder-9B-Chat
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-Coder-9B-Chat-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template chatml \ --reverse-prompt "<|im_end|>" \ --ctx-size 128000
Quantized GGUF Models
Name | Quant method | Bits | Size | Use case |
---|---|---|---|---|
Yi-Coder-9B-Chat-Q2_K.gguf | Q2_K | 2 | 3.35 GB | smallest, significant quality loss - not recommended for most purposes |
Yi-Coder-9B-Chat-Q3_K_L.gguf | Q3_K_L | 3 | 4.69 GB | small, substantial quality loss |
Yi-Coder-9B-Chat-Q3_K_M.gguf | Q3_K_M | 3 | 4.32 GB | very small, high quality loss |
Yi-Coder-9B-Chat-Q3_K_S.gguf | Q3_K_S | 3 | 3.90 GB | very small, high quality loss |
Yi-Coder-9B-Chat-Q4_0.gguf | Q4_0 | 4 | 5.04 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
Yi-Coder-9B-Chat-Q4_K_M.gguf | Q4_K_M | 4 | 5.33 GB | medium, balanced quality - recommended |
Yi-Coder-9B-Chat-Q4_K_S.gguf | Q4_K_S | 4 | 5.07 GB | small, greater quality loss |
Yi-Coder-9B-Chat-Q5_0.gguf | Q5_0 | 5 | 6.11 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
Yi-Coder-9B-Chat-Q5_K_M.gguf | Q5_K_M | 5 | 6.26 GB | large, very low quality loss - recommended |
Yi-Coder-9B-Chat-Q5_K_S.gguf | Q5_K_S | 5 | 6.11 GB | large, low quality loss - recommended |
Yi-Coder-9B-Chat-Q6_K.gguf | Q6_K | 6 | 7.25 GB | very large, extremely low quality loss |
Yi-Coder-9B-Chat-Q8_0.gguf | Q8_0 | 8 | 9.38 GB | very large, extremely low quality loss - not recommended |
Yi-Coder-9B-Chat-f16.gguf | f16 | 16 | 17.7 GB |
Quantized with llama.cpp b3664
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