base_model, inference, library_name, license, license_name, license_link, model_creator, model_name, model_type, tags, pipeline_tag, quantized_by

base_model	inference	library_name	license	license_name	license_link	model_creator	model_name	model_type	tags	pipeline_tag	quantized_by
microsoft/Orca-2-13b	false	transformers	other	microsoft-research-license	LICENSE	TinyLlama	Tinyllama 1.1B Chat v1.0	tinyllama	orca orca2 microsoft	text-generation	Second State Inc.

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Orca-2-13B-GGUF

Original Model

microsoft/Orca-2-13b

Run with LlamaEdge

• LlamaEdge version: v0.2.8 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
    

• Context size: 5120

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Orca-2-13b-Q5_K_M.gguf llama-api-server.wasm -p chatml
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Orca-2-13b-Q5_K_M.gguf llama-chat.wasm -p chatml
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Orca-2-13b-Q2_K.gguf	Q2_K	2	5.43 GB	smallest, significant quality loss - not recommended for most purposes
Orca-2-13b-Q3_K_L.gguf	Q3_K_L	3	6.93 GB	small, substantial quality loss
Orca-2-13b-Q3_K_M.gguf	Q3_K_M	3	6.34 GB	very small, high quality loss
Orca-2-13b-Q3_K_S.gguf	Q3_K_S	3	5.66 GB	very small, high quality loss
Orca-2-13b-Q4_0.gguf	Q4_0	4	7.37 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Orca-2-13b-Q4_K_M.gguf	Q4_K_M	4	7.87 GB	medium, balanced quality - recommended
Orca-2-13b-Q4_K_S.gguf	Q4_K_S	4	7.41 GB	small, greater quality loss
Orca-2-13b-Q5_0.gguf	Q5_0	5	8.97 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Orca-2-13b-Q5_K_M.gguf	Q5_K_M	5	9.23 GB	large, very low quality loss - recommended
Orca-2-13b-Q5_K_S.gguf	Q5_K_S	5	8.97 GB	large, low quality loss - recommended
Orca-2-13b-Q6_K.gguf	Q6_K	6	10.7 GB	very large, extremely low quality loss
Orca-2-13b-Q8_0.gguf	Q8_0	8	13.8 GB	very large, extremely low quality loss - not recommended