---
base_model: NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT
inference: false
language:
- en
license: apache-2.0
model-index:
- name: Nous-Hermes-2-Mixtral-8x7B-SFT
results: []
model_creator: NousResearch
model_name: Nous Hermes 2 Mixtral 8X7B SFT
model_type: mixtral
quantized_by: Second State Inc.
tags:
- Mixtral
- instruct
- finetune
- chatml
- DPO
- RLHF
- gpt4
- synthetic data
- distillation
---
# Nous-Hermes-2-Mixtral-8x7B-SFT-GGUF
## Original Model
[NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT](https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT)
## Run with LlamaEdge
- LlamaEdge version: [v0.2.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.8) and above
- Prompt template
- Prompt type: `chatml`
- Prompt string
```text
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```
- Context size: `4096`
- Run as LlamaEdge service
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Nous-Hermes-2-Mixtral-8x7B-SFT-Q5_K_M.gguf llama-api-server.wasm -p chatml
```
- Run as LlamaEdge command app
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Nous-Hermes-2-Mixtral-8x7B-SFT-Q5_K_M.gguf llama-chat.wasm -p chatml
```
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Nous-Hermes-2-Mixtral-8x7B-SFT-Q2_K.gguf](https://huggingface.co/second-state/Nous-Hermes-2-Mixtral-8x7B-SFT-GGUF/blob/main/Nous-Hermes-2-Mixtral-8x7B-SFT-Q2_K.gguf) | Q2_K | 2 | 17.3 GB| smallest, significant quality loss - not recommended for most purposes |
| [Nous-Hermes-2-Mixtral-8x7B-SFT-Q3_K_L.gguf](https://huggingface.co/second-state/Nous-Hermes-2-Mixtral-8x7B-SFT-GGUF/blob/main/Nous-Hermes-2-Mixtral-8x7B-SFT-Q3_K_L.gguf) | Q3_K_L | 3 | 24.2 GB| small, substantial quality loss |
| [Nous-Hermes-2-Mixtral-8x7B-SFT-Q3_K_M.gguf](https://huggingface.co/second-state/Nous-Hermes-2-Mixtral-8x7B-SFT-GGUF/blob/main/Nous-Hermes-2-Mixtral-8x7B-SFT-Q3_K_M.gguf) | Q3_K_M | 3 | 22.5 GB| very small, high quality loss |
| [Nous-Hermes-2-Mixtral-8x7B-SFT-Q3_K_S.gguf](https://huggingface.co/second-state/Nous-Hermes-2-Mixtral-8x7B-SFT-GGUF/blob/main/Nous-Hermes-2-Mixtral-8x7B-SFT-Q3_K_S.gguf) | Q3_K_S | 3 | 20.4 GB| very small, high quality loss |
| [Nous-Hermes-2-Mixtral-8x7B-SFT-Q4_0.gguf](https://huggingface.co/second-state/Nous-Hermes-2-Mixtral-8x7B-SFT-GGUF/blob/main/Nous-Hermes-2-Mixtral-8x7B-SFT-Q4_0.gguf) | Q4_0 | 4 | 26.4 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Nous-Hermes-2-Mixtral-8x7B-SFT-Q4_K_M.gguf](https://huggingface.co/second-state/Nous-Hermes-2-Mixtral-8x7B-SFT-GGUF/blob/main/Nous-Hermes-2-Mixtral-8x7B-SFT-Q4_K_M.gguf) | Q4_K_M | 4 | 28.4 GB| medium, balanced quality - recommended |
| [Nous-Hermes-2-Mixtral-8x7B-SFT-Q4_K_S.gguf](https://huggingface.co/second-state/Nous-Hermes-2-Mixtral-8x7B-SFT-GGUF/blob/main/Nous-Hermes-2-Mixtral-8x7B-SFT-Q4_K_S.gguf) | Q4_K_S | 4 | 26.7 GB| small, greater quality loss |
| [Nous-Hermes-2-Mixtral-8x7B-SFT-Q5_0.gguf](https://huggingface.co/second-state/Nous-Hermes-2-Mixtral-8x7B-SFT-GGUF/blob/main/Nous-Hermes-2-Mixtral-8x7B-SFT-Q5_0.gguf) | Q5_0 | 5 | 32.2 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Nous-Hermes-2-Mixtral-8x7B-SFT-Q5_K_M.gguf](https://huggingface.co/second-state/Nous-Hermes-2-Mixtral-8x7B-SFT-GGUF/blob/main/Nous-Hermes-2-Mixtral-8x7B-SFT-Q5_K_M.gguf) | Q5_K_M | 5 | 33.2 GB| large, very low quality loss - recommended |
| [Nous-Hermes-2-Mixtral-8x7B-SFT-Q5_K_S.gguf](https://huggingface.co/second-state/Nous-Hermes-2-Mixtral-8x7B-SFT-GGUF/blob/main/Nous-Hermes-2-Mixtral-8x7B-SFT-Q5_K_S.gguf) | Q5_K_S | 5 | 32.2 GB| large, low quality loss - recommended |
| [Nous-Hermes-2-Mixtral-8x7B-SFT-Q6_K.gguf](https://huggingface.co/second-state/Nous-Hermes-2-Mixtral-8x7B-SFT-GGUF/blob/main/Nous-Hermes-2-Mixtral-8x7B-SFT-Q6_K.gguf) | Q6_K | 6 | 38.4 GB| very large, extremely low quality loss |
| [Nous-Hermes-2-Mixtral-8x7B-SFT-Q8_0.gguf](https://huggingface.co/second-state/Nous-Hermes-2-Mixtral-8x7B-SFT-GGUF/blob/main/Nous-Hermes-2-Mixtral-8x7B-SFT-Q8_0.gguf) | Q8_0 | 8 | 49.6 GB| very large, extremely low quality loss - not recommended |