LlamaEdge version: v0.12.3 and above
Prompt template
- Prompt type: deepseek-chat-2
- Prompt string
  
  text
  1<|begin_of_sentence|>{system_message} 2 3User: {user_message_1} 4 5Assistant: {assistant_message_1}<|end_of_sentence|>User: {user_message_2} 6 7Assistant:
Context size: 128000
Run as LlamaEdge service

bash
1wasmedge --dir .:. \ 2 --nn-preload default:GGML:AUTO:DeepSeek-Coder-V2-Instruct-Q5_K_M.gguf \ 3 llama-api-server.wasm \ 4 --prompt-template deepseek-chat-2 \ 5 --ctx-size 128000 \ 6 --model-name DeepSeek-Coder-V2-Instruct
Run as LlamaEdge command app

bash
1wasmedge --dir .:. \ 2 --nn-preload default:GGML:AUTO:DeepSeek-Coder-V2-Instruct-Q5_K_M.gguf \ 3 llama-chat.wasm \ 4 --prompt-template deepseek-chat-2 \ 5 --ctx-size 128000

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
DeepSeek-Coder-V2-Instruct-Q2_K-00001-of-00003.gguf	Q2_K	2	29.7 GB	smallest, significant quality loss - not recommended for most purposes
DeepSeek-Coder-V2-Instruct-Q2_K-00002-of-00003.gguf	Q2_K	2	29.8 GB	smallest, significant quality loss - not recommended for most purposes
DeepSeek-Coder-V2-Instruct-Q2_K-00002-of-00003.gguf	Q2_K	2	26.4 GB	smallest, significant quality loss - not recommended for most purposes
DeepSeek-Coder-V2-Instruct-Q3_K_L-00001-of-00005.gguf	Q3_K_L	3	29.8 GB	small, substantial quality loss
DeepSeek-Coder-V2-Instruct-Q3_K_L-00002-of-00005.gguf	Q3_K_L	3	29.7 GB	small, substantial quality loss
DeepSeek-Coder-V2-Instruct-Q3_K_L-00003-of-00005.gguf	Q3_K_L	3	29.9 GB	small, substantial quality loss
DeepSeek-Coder-V2-Instruct-Q3_K_L-00004-of-00005.gguf	Q3_K_L	3	29.8 GB	small, substantial quality loss
DeepSeek-Coder-V2-Instruct-Q3_K_L-00005-of-00005.gguf	Q3_K_L	3	3.14 GB	small, substantial quality loss
DeepSeek-Coder-V2-Instruct-Q3_K_M-00001-of-00004.gguf	Q3_K_M	3	29.6 GB	very small, high quality loss
DeepSeek-Coder-V2-Instruct-Q3_K_M-00002-of-00004.gguf	Q3_K_M	3	29.5 GB	very small, high quality loss
DeepSeek-Coder-V2-Instruct-Q3_K_M-00003-of-00004.gguf	Q3_K_M	3	29.8 GB	very small, high quality loss
DeepSeek-Coder-V2-Instruct-Q3_K_M-00004-of-00004.gguf	Q3_K_M	3	23.8 GB	very small, high quality loss
DeepSeek-Coder-V2-Instruct-Q3_K_S-00001-of-00004.gguf	Q3_K_S	3	29.9 GB	very small, high quality loss
DeepSeek-Coder-V2-Instruct-Q3_K_S-00002-of-00004.gguf	Q3_K_S	3	29.7 GB	very small, high quality loss
DeepSeek-Coder-V2-Instruct-Q3_K_S-00003-of-00004.gguf	Q3_K_S	3	29.6 GB	very small, high quality loss
DeepSeek-Coder-V2-Instruct-Q3_K_S-00004-of-00004.gguf	Q3_K_S	3	12.5 GB	very small, high quality loss
DeepSeek-Coder-V2-Instruct-Q4_0-00001-of-00005.gguf	Q4_0	4	30.0 GB	legacy; small, very high quality loss - prefer using Q3_K_M
DeepSeek-Coder-V2-Instruct-Q4_0-00002-of-00005.gguf	Q4_0	4	29.9 GB	legacy; small, very high quality loss - prefer using Q3_K_M
DeepSeek-Coder-V2-Instruct-Q4_0-00003-of-00005.gguf	Q4_0	4	29.8 GB	legacy; small, very high quality loss - prefer using Q3_K_M
DeepSeek-Coder-V2-Instruct-Q4_0-00004-of-00005.gguf	Q4_0	4	29.9 GB	legacy; small, very high quality loss - prefer using Q3_K_M
DeepSeek-Coder-V2-Instruct-Q4_0-00005-of-00005.gguf	Q4_0	4	13.3 GB	legacy; small, very high quality loss - prefer using Q3_K_M
DeepSeek-Coder-V2-Instruct-Q4_K_M-00001-of-00005.gguf	Q4_K_M	4	29.7 GB	medium, balanced quality - recommended
DeepSeek-Coder-V2-Instruct-Q4_K_M-00002-of-00005.gguf	Q4_K_M	4	29.7 GB	medium, balanced quality - recommended
DeepSeek-Coder-V2-Instruct-Q4_K_M-00003-of-00005.gguf	Q4_K_M	4	29.7 GB	medium, balanced quality - recommended
DeepSeek-Coder-V2-Instruct-Q4_K_M-00004-of-00005.gguf	Q4_K_M	4	29.6 GB	medium, balanced quality - recommended
DeepSeek-Coder-V2-Instruct-Q4_K_M-00005-of-00005.gguf	Q4_K_M	4	23.8 GB	medium, balanced quality - recommended
DeepSeek-Coder-V2-Instruct-Q4_K_S-00001-of-00005.gguf	Q4_K_S	4	29.6 GB	small, greater quality loss
DeepSeek-Coder-V2-Instruct-Q4_K_S-00002-of-00005.gguf	Q4_K_S	4	29.8 GB	small, greater quality loss
DeepSeek-Coder-V2-Instruct-Q4_K_S-00003-of-00005.gguf	Q4_K_S	4	29.9 GB	small, greater quality loss
DeepSeek-Coder-V2-Instruct-Q4_K_S-00004-of-00005.gguf	Q4_K_S	4	29.8 GB	small, greater quality loss
DeepSeek-Coder-V2-Instruct-Q4_K_S-00005-of-00005.gguf	Q4_K_S	4	14.8 GB	small, greater quality loss
DeepSeek-Coder-V2-Instruct-Q5_0-00001-of-00006.gguf	Q5_0	5	29.4 GB	legacy; medium, balanced quality - prefer using Q4_K_M
DeepSeek-Coder-V2-Instruct-Q5_0-00002-of-00006.gguf	Q5_0	5	29.2 GB	legacy; medium, balanced quality - prefer using Q4_K_M
DeepSeek-Coder-V2-Instruct-Q5_0-00003-of-00006.gguf	Q5_0	5	30.0 GB	legacy; medium, balanced quality - prefer using Q4_K_M
DeepSeek-Coder-V2-Instruct-Q5_0-00004-of-00006.gguf	Q5_0	5	29.2 GB	legacy; medium, balanced quality - prefer using Q4_K_M
DeepSeek-Coder-V2-Instruct-Q5_0-00005-of-00006.gguf	Q5_0	5	29.2 GB	legacy; medium, balanced quality - prefer using Q4_K_M
DeepSeek-Coder-V2-Instruct-Q5_0-00006-of-00006.gguf	Q5_0	5	15.4 GB	legacy; medium, balanced quality - prefer using Q4_K_M
DeepSeek-Coder-V2-Instruct-Q5_K_M-00001-of-00006.gguf	Q5_K_M	5	29.7 GB	large, very low quality loss - recommended
DeepSeek-Coder-V2-Instruct-Q5_K_M-00002-of-00006.gguf	Q5_K_M	5	29.7 GB	large, very low quality loss - recommended
DeepSeek-Coder-V2-Instruct-Q5_K_M-00003-of-00006.gguf	Q5_K_M	5	29.7 GB	large, very low quality loss - recommended
DeepSeek-Coder-V2-Instruct-Q5_K_M-00004-of-00006.gguf	Q5_K_M	5	29.9 GB	large, very low quality loss - recommended
DeepSeek-Coder-V2-Instruct-Q5_K_M-00005-of-00006.gguf	Q5_K_M	5	29.9 GB	large, very low quality loss - recommended
DeepSeek-Coder-V2-Instruct-Q5_K_M-00006-of-00006.gguf	Q5_K_M	5	18.3 GB	large, very low quality loss - recommended
DeepSeek-Coder-V2-Instruct-Q5_K_S-00001-of-00006.gguf	Q5_K_S	5	29.4 GB	large, low quality loss - recommended
DeepSeek-Coder-V2-Instruct-Q5_K_S-00002-of-00006.gguf	Q5_K_S	5	29.2 GB	large, low quality loss - recommended
DeepSeek-Coder-V2-Instruct-Q5_K_S-00003-of-00006.gguf	Q5_K_S	5	30.0 GB	large, low quality loss - recommended
DeepSeek-Coder-V2-Instruct-Q5_K_S-00004-of-00006.gguf	Q5_K_S	5	29.2 GB	large, low quality loss - recommended
DeepSeek-Coder-V2-Instruct-Q5_K_S-00005-of-00006.gguf	Q5_K_S	5	29.2 GB	large, low quality loss - recommended
DeepSeek-Coder-V2-Instruct-Q5_K_S-00006-of-00006.gguf	Q5_K_S	5	15.4 GB	large, low quality loss - recommended
DeepSeek-Coder-V2-Instruct-Q6_K-00001-of-00007.gguf	Q6_K	6	29.6 GB	very large, extremely low quality loss
DeepSeek-Coder-V2-Instruct-Q6_K-00002-of-00007.gguf	Q6_K	6	29.0 GB	very large, extremely low quality loss
DeepSeek-Coder-V2-Instruct-Q6_K-00003-of-00007.gguf	Q6_K	6	29.5 GB	very large, extremely low quality loss
DeepSeek-Coder-V2-Instruct-Q6_K-00004-of-00007.gguf	Q6_K	6	29.3 GB	very large, extremely low quality loss
DeepSeek-Coder-V2-Instruct-Q6_K-00005-of-00007.gguf	Q6_K	6	29.3 GB	very large, extremely low quality loss
DeepSeek-Coder-V2-Instruct-Q6_K-00006-of-00007.gguf	Q6_K	6	29.3 GB	very large, extremely low quality loss
DeepSeek-Coder-V2-Instruct-Q6_K-00007-of-00007.gguf	Q6_K	6	17.3 GB	very large, extremely low quality loss
DeepSeek-Coder-V2-Instruct-Q8_0-00001-of-00009.gguf	Q8_0	8	29.7 GB	very large, extremely low quality loss - not recommended
DeepSeek-Coder-V2-Instruct-Q8_0-00002-of-00009.gguf	Q8_0	8	29.6 GB	very large, extremely low quality loss - not recommended
DeepSeek-Coder-V2-Instruct-Q8_0-00003-of-00009.gguf	Q8_0	8	29.6 GB	very large, extremely low quality loss - not recommended
DeepSeek-Coder-V2-Instruct-Q8_0-00004-of-00009.gguf	Q8_0	8	29.6 GB	very large, extremely low quality loss - not recommended
DeepSeek-Coder-V2-Instruct-Q8_0-00005-of-00009.gguf	Q8_0	8	29.6 GB	very large, extremely low quality loss - not recommended
DeepSeek-Coder-V2-Instruct-Q8_0-00006-of-00009.gguf	Q8_0	8	29.6 GB	very large, extremely low quality loss - not recommended
DeepSeek-Coder-V2-Instruct-Q8_0-00007-of-00009.gguf	Q8_0	8	29.6 GB	very large, extremely low quality loss - not recommended
DeepSeek-Coder-V2-Instruct-Q8_0-00008-of-00009.gguf	Q8_0	8	29.6 GB	very large, extremely low quality loss - not recommended
DeepSeek-Coder-V2-Instruct-Q8_0-00009-of-00009.gguf	Q8_0	8	14.0 GB	very large, extremely low quality loss - not recommended
DeepSeek-Coder-V2-Instruct-f16-00001-of-00017.gguf	f16	16	29.5 GB
DeepSeek-Coder-V2-Instruct-f16-00002-of-00017.gguf	f16	16	29.3 GB
DeepSeek-Coder-V2-Instruct-f16-00003-of-00017.gguf	f16	16	28.9 GB
DeepSeek-Coder-V2-Instruct-f16-00004-of-00017.gguf	f16	16	29.3 GB
DeepSeek-Coder-V2-Instruct-f16-00005-of-00017.gguf	f16	16	29.3 GB
DeepSeek-Coder-V2-Instruct-f16-00006-of-00017.gguf	f16	16	28.9 GB
DeepSeek-Coder-V2-Instruct-f16-00007-of-00017.gguf	f16	16	29.3 GB
DeepSeek-Coder-V2-Instruct-f16-00008-of-00017.gguf	f16	16	29.3 GB
DeepSeek-Coder-V2-Instruct-f16-00009-of-00017.gguf	f16	16	28.9 GB
DeepSeek-Coder-V2-Instruct-f16-00010-of-00017.gguf	f16	16	29.3 GB
DeepSeek-Coder-V2-Instruct-f16-00011-of-00017.gguf	f16	16	29.3 GB
DeepSeek-Coder-V2-Instruct-f16-00012-of-00017.gguf	f16	16	28.5 GB
DeepSeek-Coder-V2-Instruct-f16-00013-of-00017.gguf	f16	16	29.7 GB
DeepSeek-Coder-V2-Instruct-f16-00014-of-00017.gguf	f16	16	29.3 GB
DeepSeek-Coder-V2-Instruct-f16-00015-of-00017.gguf	f16	16	28.9 GB
DeepSeek-Coder-V2-Instruct-f16-00016-of-00017.gguf	f16	16	29.3 GB
DeepSeek-Coder-V2-Instruct-f16-00017-of-00017.gguf	f16	16	5.03 GB

Quatized with llama.cpp b3499

second-state/DeepSeek-Coder-V2-Instruct-GGUF

DeepSeek-Coder-V2-Instruct-GGUF

Original Model

Run with LlamaEdge

Quantized GGUF Models

second-state/
DeepSeek-Coder-V2-Instruct-GGUF