ModelHub XC 6e2491ffbf 初始化项目,由ModelHub XC社区提供模型
Model: second-state/Hermes-2-Pro-Llama-3-8B-GGUF
Source: Original Platform
2026-06-04 02:18:12 +08:00

model_name, base_model, inference, model_creator, model_type, pipeline_tag, quantized_by, language
model_name base_model inference model_creator model_type pipeline_tag quantized_by language
Hermes-2-Pro-Llama-3-8B NousResearch/Hermes-2-Pro-Llama-3-8B false NousResearch llama text-generation Second State Inc.
en

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

    • Chat

      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
      
    • Tool use

      wasmedge --dir .:. --nn-preload default:GGML:AUTO:Hermes-2-Pro-Llama-3-8B-Q5_K_M.gguf \
        llama-api-server.wasm \
        --prompt-template chatml-tool \
        --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.

Description
Model synced from source: second-state/Hermes-2-Pro-Llama-3-8B-GGUF
Readme 27 KiB