---
base_model: teknium/OpenHermes-2.5-Mistral-7B
inference: false
language:
- en
license: apache-2.0
model-index:
- name: OpenHermes-2-Mistral-7B
results: []
model_creator: Teknium
model_name: Openhermes 2.5 Mistral 7B
model_type: mistral
tags:
- mistral
- instruct
- finetune
- chatml
- gpt4
- synthetic data
- distillation
quantized_by: Second State Inc.
---
# OpenHermes-2.5-Mistral-7B-GGUF
## Original Model
[teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
## 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
```
- Reverse prompt: `<|im_end|>`
- Run as LlamaEdge service
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:OpenHermes-2.5-Mistral-7B-Q5_K_M.gguf llama-api-server.wasm -p chatml -r '<|im_end|>'
```
- Context size: `4096`
- Run as LlamaEdge command app
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:OpenHermes-2.5-Mistral-7B-Q5_K_M.gguf llama-chat.wasm -p chatml -r '<|im_end|>'
```
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [OpenHermes-2.5-Mistral-7B-Q2_K.gguf](https://huggingface.co/second-state/OpenHermes-2.5-Mistral-7B-GGUF/blob/main/OpenHermes-2.5-Mistral-7B-Q2_K.gguf) | Q2_K | 2 | 3.08 GB| smallest, significant quality loss - not recommended for most purposes |
| [OpenHermes-2.5-Mistral-7B-Q3_K_L.gguf](https://huggingface.co/second-state/OpenHermes-2.5-Mistral-7B-GGUF/blob/main/OpenHermes-2.5-Mistral-7B-Q3_K_L.gguf) | Q3_K_L | 3 | 3.82 GB| small, substantial quality loss |
| [OpenHermes-2.5-Mistral-7B-Q3_K_M.gguf](https://huggingface.co/second-state/OpenHermes-2.5-Mistral-7B-GGUF/blob/main/OpenHermes-2.5-Mistral-7B-Q3_K_M.gguf) | Q3_K_M | 3 | 3.52 GB| very small, high quality loss |
| [OpenHermes-2.5-Mistral-7B-Q3_K_S.gguf](https://huggingface.co/second-state/OpenHermes-2.5-Mistral-7B-GGUF/blob/main/OpenHermes-2.5-Mistral-7B-Q3_K_S.gguf) | Q3_K_S | 3 | 3.16 GB| very small, high quality loss |
| [OpenHermes-2.5-Mistral-7B-Q4_0.gguf](https://huggingface.co/second-state/OpenHermes-2.5-Mistral-7B-GGUF/blob/main/OpenHermes-2.5-Mistral-7B-Q4_0.gguf) | Q4_0 | 4 | 4.11 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [OpenHermes-2.5-Mistral-7B-Q4_K_M.gguf](https://huggingface.co/second-state/OpenHermes-2.5-Mistral-7B-GGUF/blob/main/OpenHermes-2.5-Mistral-7B-Q4_K_M.gguf) | Q4_K_M | 4 | 4.37 GB| medium, balanced quality - recommended |
| [OpenHermes-2.5-Mistral-7B-Q4_K_S.gguf](https://huggingface.co/second-state/OpenHermes-2.5-Mistral-7B-GGUF/blob/main/OpenHermes-2.5-Mistral-7B-Q4_K_S.gguf) | Q4_K_S | 4 | 4.14 GB| small, greater quality loss |
| [OpenHermes-2.5-Mistral-7B-Q5_0.gguf](https://huggingface.co/second-state/OpenHermes-2.5-Mistral-7B-GGUF/blob/main/OpenHermes-2.5-Mistral-7B-Q5_0.gguf) | Q5_0 | 5 | 5 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [OpenHermes-2.5-Mistral-7B-Q5_K_M.gguf](https://huggingface.co/second-state/OpenHermes-2.5-Mistral-7B-GGUF/blob/main/OpenHermes-2.5-Mistral-7B-Q5_K_M.gguf) | Q5_K_M | 5 | 5.13 GB| large, very low quality loss - recommended |
| [OpenHermes-2.5-Mistral-7B-Q5_K_S.gguf](https://huggingface.co/second-state/OpenHermes-2.5-Mistral-7B-GGUF/blob/main/OpenHermes-2.5-Mistral-7B-Q5_K_S.gguf) | Q5_K_S | 5 | 5 GB| large, low quality loss - recommended |
| [OpenHermes-2.5-Mistral-7B-Q6_K.gguf](https://huggingface.co/second-state/OpenHermes-2.5-Mistral-7B-GGUF/blob/main/OpenHermes-2.5-Mistral-7B-Q6_K.gguf) | Q6_K | 6 | 5.94 GB| very large, extremely low quality loss |
| [OpenHermes-2.5-Mistral-7B-Q8_0.gguf](https://huggingface.co/second-state/OpenHermes-2.5-Mistral-7B-GGUF/blob/main/OpenHermes-2.5-Mistral-7B-Q8_0.gguf) | Q8_0 | 8 | 7.7 GB| very large, extremely low quality loss - not recommended |
