base_model, inference, license, license_name, license_link, model_creator, model_name, model_type, quantized_by

base_model	inference	license	license_name	license_link	model_creator	model_name	model_type	quantized_by
deepseek-ai/DeepSeek-V2-Lite-Chat	false	other	deepseek	https://github.com/deepseek-ai/DeepSeek-V2/blob/main/LICENSE-MODEL	DeepSeek-ai	DeepSeek-V2-Lite-Chat	deepseek	Second State Inc.

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DeepSeek-V2-Lite-Chat-GGUF

Original Model

deepseek-ai/DeepSeek-V2-Lite-Chat

Run with LlamaEdge

• LlamaEdge version: v0.12.3 and above

• Prompt template

  • Prompt type: deepseek-chat-2

  • Prompt string

    <|begin_of_sentence|>{system_message}
    
    User: {user_message_1}
    
    Assistant: {assistant_message_1}<|end_of_sentence|>User: {user_message_2}
    
    Assistant:
    

• Context size: 128000

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
DeepSeek-V2-Lite-Chat-Q2_K.gguf	Q2_K	2	6.43 GB	smallest, significant quality loss - not recommended for most purposes
DeepSeek-V2-Lite-Chat-Q3_K_L.gguf	Q3_K_L	3	8.46 GB	small, substantial quality loss
DeepSeek-V2-Lite-Chat-Q3_K_M.gguf	Q3_K_M	3	8.13 GB	very small, high quality loss
DeepSeek-V2-Lite-Chat-Q3_K_S.gguf	Q3_K_S	3	7.49 GB	very small, high quality loss
DeepSeek-V2-Lite-Chat-Q4_0.gguf	Q4_0	4	8.91 GB	legacy; small, very high quality loss - prefer using Q3_K_M
DeepSeek-V2-Lite-Chat-Q4_K_M.gguf	Q4_K_M	4	10.4 GB	medium, balanced quality - recommended
DeepSeek-V2-Lite-Chat-Q4_K_S.gguf	Q4_K_S	4	9.53 GB	small, greater quality loss
DeepSeek-V2-Lite-Chat-Q5_0.gguf	Q5_0	5	10.8 GB	legacy; medium, balanced quality - prefer using Q4_K_M
DeepSeek-V2-Lite-Chat-Q5_K_M.gguf	Q5_K_M	5	11.9 GB	large, very low quality loss - recommended
DeepSeek-V2-Lite-Chat-Q5_K_S.gguf	Q5_K_S	5	11.1 GB	large, low quality loss - recommended
DeepSeek-V2-Lite-Chat-Q6_K.gguf	Q6_K	6	14.1 GB	very large, extremely low quality loss
DeepSeek-V2-Lite-Chat-Q8_0.gguf	Q8_0	8	16.7 GB	very large, extremely low quality loss - not recommended
DeepSeek-V2-Lite-Chat-f16.gguf	f16	16	31.4 GB

Quatized with llama.cpp b3333