DeepSeek-Coder-V2-Instruct-GGUF
Original Model
deepseek-ai/DeepSeek-Coder-V2-Instruct
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
Run as LlamaEdge service
wasmedge --dir .:. \ --nn-preload default:GGML:AUTO:DeepSeek-Coder-V2-Instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template deepseek-chat-2 \ --ctx-size 128000 \ --model-name DeepSeek-Coder-V2-Instruct
Run as LlamaEdge command app
wasmedge --dir .:. \ --nn-preload default:GGML:AUTO:DeepSeek-Coder-V2-Instruct-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template deepseek-chat-2 \ --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
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Model tree for second-state/DeepSeek-Coder-V2-Instruct-GGUF
Base model
deepseek-ai/DeepSeek-Coder-V2-Base
Finetuned
deepseek-ai/DeepSeek-Coder-V2-Instruct