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---
model_name: Hermes-2-Pro-Llama-3-8B
base_model: NousResearch/Hermes-2-Pro-Llama-3-8B
inference: false
model_creator: NousResearch
model_type: llama
pipeline_tag: text-generation
quantized_by: Second State Inc.
language:
- en
---
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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# Hermes-2-Pro-Llama-3-8B-GGUF
## Original Model
[NousResearch/Hermes-2-Pro-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B)
## Run with LlamaEdge
- LlamaEdge version: [v0.11.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.11.3) and above
- Prompt template
- Prompt type: `chatml`
- Prompt string
```text
<|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
```bash
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
```bash
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
```bash
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](https://huggingface.co/second-state/Hermes-2-Pro-Llama-3-8B-GGUF/blob/main/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](https://huggingface.co/second-state/Hermes-2-Pro-Llama-3-8B-GGUF/blob/main/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](https://huggingface.co/second-state/Hermes-2-Pro-Llama-3-8B-GGUF/blob/main/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](https://huggingface.co/second-state/Hermes-2-Pro-Llama-3-8B-GGUF/blob/main/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](https://huggingface.co/second-state/Hermes-2-Pro-Llama-3-8B-GGUF/blob/main/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](https://huggingface.co/second-state/Hermes-2-Pro-Llama-3-8B-GGUF/blob/main/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](https://huggingface.co/second-state/Hermes-2-Pro-Llama-3-8B-GGUF/blob/main/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](https://huggingface.co/second-state/Hermes-2-Pro-Llama-3-8B-GGUF/blob/main/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](https://huggingface.co/second-state/Hermes-2-Pro-Llama-3-8B-GGUF/blob/main/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](https://huggingface.co/second-state/Hermes-2-Pro-Llama-3-8B-GGUF/blob/main/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](https://huggingface.co/second-state/Hermes-2-Pro-Llama-3-8B-GGUF/blob/main/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](https://huggingface.co/second-state/Hermes-2-Pro-Llama-3-8B-GGUF/blob/main/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](https://huggingface.co/second-state/Hermes-2-Pro-Llama-3-8B-GGUF/blob/main/Hermes-2-Pro-Llama-3-8B-f16.gguf) | f16 | 16 | 16.1 GB| |
*Quantized with llama.cpp b3135.*
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