Yi-34B-Chat-GGUF
Original Model
Run with LlamaEdge
LlamaEdge version: v0.2.14 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:
7168
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-34B-Chat-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:Yi-34B-Chat-Q5_K_M.gguf llama-chat.wasm -p chatml -r '<|im_end|>'
Quantized GGUF Models
Name | Quant method | Bits | Size | Use case |
---|---|---|---|---|
Yi-34B-Chat-Q2_K.gguf | Q2_K | 2 | 12.8 GB | smallest, significant quality loss - not recommended for most purposes |
Yi-34B-Chat-Q3_K_L.gguf | Q3_K_L | 3 | 18.1 GB | small, substantial quality loss |
Yi-34B-Chat-Q3_K_M.gguf | Q3_K_M | 3 | 16.7 GB | very small, high quality loss |
Yi-34B-Chat-Q3_K_S.gguf | Q3_K_S | 3 | 15.0 GB | very small, high quality loss |
Yi-34B-Chat-Q4_0.gguf | Q4_0 | 4 | 19.5 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
Yi-34B-Chat-Q4_K_M.gguf | Q4_K_M | 4 | 20.7 GB | medium, balanced quality - recommended |
Yi-34B-Chat-Q4_K_S.gguf | Q4_K_S | 4 | 19.6 GB | small, greater quality loss |
Yi-34B-Chat-Q5_0.gguf | Q5_0 | 5 | 23.7 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
Yi-34B-Chat-Q5_K_M.gguf | Q5_K_M | 5 | 24.3 GB | large, very low quality loss - recommended |
Yi-34B-Chat-Q5_K_S.gguf | Q5_K_S | 5 | 23.7 GB | large, low quality loss - recommended |
Yi-34B-Chat-Q6_K.gguf | Q6_K | 6 | 28.2 GB | very large, extremely low quality loss |
Yi-34B-Chat-Q8_0.gguf | Q8_0 | 8 | 36.5 GB | very large, extremely low quality loss - not recommended |
Quantized with llama.cpp b2037
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Model tree for second-state/Yi-34B-Chat-GGUF
Base model
01-ai/Yi-34B-Chat
Quantized
this model