base_model, inference, model_creator, model_name, model_type, pipeline_tag, quantized_by, license

base_model	inference	model_creator	model_name	model_type	pipeline_tag	quantized_by	license
01-ai/Yi-1.5-9B-Chat-16K	false	01-ai	Yi-1.5-9B-Chat-16	yi	text-generation	Second State Inc.	apache-2.0

---

Yi-1.5-9B-Chat-16K-GGUF

Original Model

01-ai/Yi-1.5-9B-Chat-16K

Run with LlamaEdge

• LlamaEdge version: coming soon

• Prompt template

  • Prompt type: chatml

  • Prompt string

    <|im_start|>system
    {system_message}<|im_end|>
    <|im_start|>user
    {prompt}<|im_end|>
    <|im_start|>assistant
    

• 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