Nemotron-Mini-4B-Instruct-GGUF
Original Model
nvidia/Nemotron-Mini-4B-Instruct
Run with LlamaEdge
- LlamaEdge version: coming soon
Prompt template
Prompt type:
nemotron-chat
Prompt string
<extra_id_0>System {system_message} <extra_id_1>User {user_message_1}<extra_id_1>Assistant {assistant_message_1} <extra_id_1>User {user_message_2}<extra_id_1>Assistant {assistant_message_2} <extra_id_1>User {user_message_3} <extra_id_1>Assistant\n
Tool use
<extra_id_0>System {system_message} <tool> {tool_1} </tool> <tool> {tool_2} </tool> <extra_id_1>User {user_message_1}<extra_id_1>Assistant <toolcall> {tool_call_message} </toolcall> <extra_id_1>Tool {tool_result_message} <extra_id_1>Assistant\n
Context size:
4096
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Nemotron-Mini-4B-Instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template nemotron-chat \ --ctx-size 4096 \ --model-name Nemotron-Mini-4B-Instruct
Tool use
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Nemotron-Mini-4B-Instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template nemotron-tool \ --ctx-size 4096 \ --model-name Nemotron-Mini-4B-Instruct
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Nemotron-Mini-4B-Instruct-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template nemotron-chat \ --ctx-size 4096
Quantized GGUF Models
Name | Quant method | Bits | Size | Use case |
---|---|---|---|---|
Nemotron-Mini-4B-Instruct-Q2_K.gguf | Q2_K | 2 | 3.35 GB | smallest, significant quality loss - not recommended for most purposes |
Nemotron-Mini-4B-Instruct-Q3_K_L.gguf | Q3_K_L | 3 | 4.69 GB | small, substantial quality loss |
Nemotron-Mini-4B-Instruct-Q3_K_M.gguf | Q3_K_M | 3 | 4.32 GB | very small, high quality loss |
Nemotron-Mini-4B-Instruct-Q3_K_S.gguf | Q3_K_S | 3 | 3.90 GB | very small, high quality loss |
Nemotron-Mini-4B-Instruct-Q4_0.gguf | Q4_0 | 4 | 5.04 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
Nemotron-Mini-4B-Instruct-Q4_K_M.gguf | Q4_K_M | 4 | 5.33 GB | medium, balanced quality - recommended |
Nemotron-Mini-4B-Instruct-Q4_K_S.gguf | Q4_K_S | 4 | 5.07 GB | small, greater quality loss |
Nemotron-Mini-4B-Instruct-Q5_0.gguf | Q5_0 | 5 | 6.11 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
Nemotron-Mini-4B-Instruct-Q5_K_M.gguf | Q5_K_M | 5 | 6.26 GB | large, very low quality loss - recommended |
Nemotron-Mini-4B-Instruct-Q5_K_S.gguf | Q5_K_S | 5 | 6.11 GB | large, low quality loss - recommended |
Nemotron-Mini-4B-Instruct-Q6_K.gguf | Q6_K | 6 | 7.25 GB | very large, extremely low quality loss |
Nemotron-Mini-4B-Instruct-Q8_0.gguf | Q8_0 | 8 | 9.38 GB | very large, extremely low quality loss - not recommended |
Nemotron-Mini-4B-Instruct-f16.gguf | f16 | 16 | 17.7 GB |
Quantized with llama.cpp b3751
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Model tree for second-state/Nemotron-Mini-4B-Instruct-GGUF
Base model
nvidia/Minitron-4B-Base
Finetuned
nvidia/Nemotron-Mini-4B-Instruct