---

Hermes-2-Pro-Llama-3-8B-GGUF

Original Model

NousResearch/Hermes-2-Pro-Llama-3-8B

Run with LlamaEdge

• LlamaEdge version: v0.11.3 and above

• Prompt template

  • Prompt type: chatml

  • Prompt string

    <|im_start|>system
    {system_message}<|im_end|>
    <|im_start|>user
    {user_message}<|im_end|>
    <|im_start|>assistant
    

• Context size: 4096

• Run as LlamaEdge service

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Hermes-2-Pro-Llama-3-8B-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template chatml \
    --ctx-size 4096 \
    --model-name hermes-2-pro-llama-3-8b
  

• Run as LlamaEdge command app

  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Hermes-2-Pro-Llama-3-8B-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template chatml \
    --ctx-size 4096
  

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Hermes-2-Pro-Llama-3-8B-Q2_K.gguf	Q2_K	2	3.18 GB	smallest, significant quality loss - not recommended for most purposes
Hermes-2-Pro-Llama-3-8B-Q3_K_L.gguf	Q3_K_L	3	4.32 GB	small, substantial quality loss
Hermes-2-Pro-Llama-3-8B-Q3_K_M.gguf	Q3_K_M	3	4.02 GB	very small, high quality loss
Hermes-2-Pro-Llama-3-8B-Q3_K_S.gguf	Q3_K_S	3	3.66 GB	very small, high quality loss
Hermes-2-Pro-Llama-3-8B-Q4_0.gguf	Q4_0	4	4.66 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Hermes-2-Pro-Llama-3-8B-Q4_K_M.gguf	Q4_K_M	4	4.92 GB	medium, balanced quality - recommended
Hermes-2-Pro-Llama-3-8B-Q4_K_S.gguf	Q4_K_S	4	4.69 GB	small, greater quality loss
Hermes-2-Pro-Llama-3-8B-Q5_0.gguf	Q5_0	5	5.6 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Hermes-2-Pro-Llama-3-8B-Q5_K_M.gguf	Q5_K_M	5	5.73 GB	large, very low quality loss - recommended
Hermes-2-Pro-Llama-3-8B-Q5_K_S.gguf	Q5_K_S	5	5.6 GB	large, low quality loss - recommended
Hermes-2-Pro-Llama-3-8B-Q6_K.gguf	Q6_K	6	6.6 GB	very large, extremely low quality loss
Hermes-2-Pro-Llama-3-8B-Q8_0.gguf	Q8_0	8	8.54 GB	very large, extremely low quality loss - not recommended
Hermes-2-Pro-Llama-3-8B-f16.gguf	f16	16	16.1 GB

Quantized with llama.cpp b3135.