---

Mistral-Nemo-Instruct-2407-GGUF

Original Model

mistralai/Mistral-Nemo-Instruct-2407

Run with LlamaEdge

• LlamaEdge version: v0.12.4

• Prompt template

  • Prompt type: mistral-instruct

  • Prompt string

    <s>[INST] {user_message_1} [/INST]{assistant_message_1}</s>[INST] {user_message_2} [/INST]{assistant_message_2}</s>
    

• Context size: 128000

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Nemo-Instruct-2407-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template mistral-instruct \
    --ctx-size 128000 \
    --model-name Mistral-Nemo-Instruct-2407
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Nemo-Instruct-2407-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template mistral-instruct \
    --ctx-size 128000
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Mistral-Nemo-Instruct-2407-Q2_K.gguf	Q2_K	2	4.79 GB	smallest, significant quality loss - not recommended for most purposes
Mistral-Nemo-Instruct-2407-Q3_K_L.gguf	Q3_K_L	3	6.56 GB	small, substantial quality loss
Mistral-Nemo-Instruct-2407-Q3_K_M.gguf	Q3_K_M	3	6.08 GB	very small, high quality loss
Mistral-Nemo-Instruct-2407-Q3_K_S.gguf	Q3_K_S	3	5.53 GB	very small, high quality loss
Mistral-Nemo-Instruct-2407-Q4_0.gguf	Q4_0	4	7.07 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Mistral-Nemo-Instruct-2407-Q4_K_M.gguf	Q4_K_M	4	7.48 GB	medium, balanced quality - recommended
Mistral-Nemo-Instruct-2407-Q4_K_S.gguf	Q4_K_S	4	7.12 GB	small, greater quality loss
Mistral-Nemo-Instruct-2407-Q5_0.gguf	Q5_0	5	8.52 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Mistral-Nemo-Instruct-2407-Q5_K_M.gguf	Q5_K_M	5	8.73 GB	large, very low quality loss - recommended
Mistral-Nemo-Instruct-2407-Q5_K_S.gguf	Q5_K_S	5	8.52 GB	large, low quality loss - recommended
Mistral-Nemo-Instruct-2407-Q6_K.gguf	Q6_K	6	10.1 GB	very large, extremely low quality loss
Mistral-Nemo-Instruct-2407-Q8_0.gguf	Q8_0	8	13.0 GB	very large, extremely low quality loss - not recommended
Mistral-Nemo-Instruct-2407-f16.gguf	f16	16	24.5 GB

Quantized with llama.cpp b3438.