LlamaEdge version: v0.16.13 and above
Prompt template
- Chat
  - Prompt type: mistral-small-chat
  - Prompt string
    
    <s>[SYSTEM_PROMPT]<system prompt>[/SYSTEM_PROMPT][INST]<user message>[/INST]<assistant response></s>[INST]<user message>[/INST]
- Chat + Tool Use
  - Prompt type: mistral-small-tool
  - Prompt string
    
    <s>[INST] {user_message_1}[/INST][TOOL_CALLS] [{tool_call_1},{tool_call_2}]</s>[TOOL_RESULTS] {tool_result_1}[/TOOL_RESULTS] {assistant_message_1}</s>[AVAILABLE_TOOLS] [{tool_1},{tool_2}][/AVAILABLE_TOOLS][INST] {system_message}<0x0A><0x0A>{user_message_2}[/INST]
Context size: 32000
Run as LlamaEdge service
- Chat
  
  bash
  1wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Small-3.1-24B-Instruct-2503-Q5_K_M.gguf \ 2 llama-api-server.wasm \ 3 --prompt-template mistral-small-chat \ 4 --ctx-size 32000 \ 5 --model-name Mistral-Small
- Chat + Tool Use
  
  bash
  1wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Small-3.1-24B-Instruct-2503-Q5_K_M.gguf \ 2 llama-api-server.wasm \ 3 --prompt-template mistral-small-tool \ 4 --ctx-size 32000 \ 5 --model-name Mistral-Small
Run as LlamaEdge command app
- Chat
  
  bash
  1wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Small-3.1-24B-Instruct-2503-Q5_K_M.gguf \ 2 llama-chat.wasm \ 3 --prompt-template mistral-small-chat \ 4 --ctx-size 32000

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Mistral-Small-3.1-24B-Instruct-2503-Q2_K.gguf	Q2_K	2	8.89 GB	smallest, significant quality loss - not recommended for most purposes
Mistral-Small-3.1-24B-Instruct-2503-Q3_K_L.gguf	Q3_K_L	3	12.4 GB	small, substantial quality loss
Mistral-Small-3.1-24B-Instruct-2503-Q3_K_M.gguf	Q3_K_M	3	11.5 GB	very small, high quality loss
Mistral-Small-3.1-24B-Instruct-2503-Q3_K_S.gguf	Q3_K_S	3	10.4 GB	very small, high quality loss
Mistral-Small-3.1-24B-Instruct-2503-Q4_0.gguf	Q4_0	4	13.4 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Mistral-Small-3.1-24B-Instruct-2503-Q4_K_M.gguf	Q4_K_M	4	14.3 GB	medium, balanced quality - recommended
Mistral-Small-3.1-24B-Instruct-2503-Q4_K_S.gguf	Q4_K_S	4	13.5 GB	small, greater quality loss
Mistral-Small-3.1-24B-Instruct-2503-Q5_0.gguf	Q5_0	5	16.3 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Mistral-Small-3.1-24B-Instruct-2503-Q5_K_M.gguf	Q5_K_M	5	16.8 GB	large, very low quality loss - recommended
Mistral-Small-3.1-24B-Instruct-2503-Q5_K_S.gguf	Q5_K_S	5	16.3 GB	large, low quality loss - recommended
Mistral-Small-3.1-24B-Instruct-2503-Q6_K.gguf	Q6_K	6	19.3 GB	very large, extremely low quality loss
Mistral-Small-3.1-24B-Instruct-2503-Q8_0.gguf	Q8_0	8	25.1 GB	very large, extremely low quality loss - not recommended
Mistral-Small-3.1-24B-Instruct-2503-f16.gguf	f16	16	47.2 GB

Quantized with llama.cpp b4944.

second-state/Mistral-Small-3.1-24B-Instruct-2503-GGUF