second-state/Zephyr-7B-Alpha-GGUF
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Model: second-state/Zephyr-7B-Alpha-GGUF
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---
base_model: HuggingFaceH4/zephyr-7b-alpha
datasets:
- stingning/ultrachat
- openbmb/UltraFeedback
inference: false
license: mit
model-index:
- name: zephyr-7b-alpha
results: []
model_creator: Hugging Face H4
model_name: Zephyr 7B Alpha
model_type: mistral
quantized_by: Second State Inc.
language:
- en
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header end -->
# Zephyr-7B-Alpha-GGUF
## Original Model
[HuggingFaceH4/zephyr-7b-alpha](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha)
## Run with LlamaEdge
- LlamaEdge version: [v0.2.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.8) and above
- Prompt template
- Prompt type: `zephyr`
- Prompt string
```text
<|system|>
{system_prompt}</s>
<|user|>
{prompt}</s>
<|assistant|>
```
- Reverse prompt: `</s>`
- Context size: `4096`
- Run as LlamaEdge service
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:zephyr-7b-alpha-Q5_K_M.gguf llama-api-server.wasm -p zephyr -r '</s>'
```
- Run as LlamaEdge command app
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:zephyr-7b-alpha-Q5_K_M.gguf llama-chat.wasm -p zephyr -r '</s>'
```
## Prompt Template
```text
<|system|>
{system_prompt}</s>
<|user|>
{prompt}</s>
<|assistant|>
```
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [zephyr-7b-alpha-Q2_K.gguf](https://huggingface.co/second-state/Zephyr-7B-Alpha-GGUF/blob/main/zephyr-7b-alpha-Q2_K.gguf) | Q2_K | 2 | 2.7 GB| smallest, significant quality loss - not recommended for most purposes |
| [zephyr-7b-alpha-Q3_K_L.gguf](https://huggingface.co/second-state/Zephyr-7B-Alpha-GGUF/blob/main/zephyr-7b-alpha-Q3_K_L.gguf) | Q3_K_L | 3 | 3.82 GB| small, substantial quality loss |
| [zephyr-7b-alpha-Q3_K_M.gguf](https://huggingface.co/second-state/Zephyr-7B-Alpha-GGUF/blob/main/zephyr-7b-alpha-Q3_K_M.gguf) | Q3_K_M | 3 | 3.52 GB| very small, high quality loss |
| [zephyr-7b-alpha-Q3_K_S.gguf](https://huggingface.co/second-state/Zephyr-7B-Alpha-GGUF/blob/main/zephyr-7b-alpha-Q3_K_S.gguf) | Q3_K_S | 3 | 3.16 GB| very small, high quality loss |
| [zephyr-7b-alpha-Q4_0.gguf](https://huggingface.co/second-state/Zephyr-7B-Alpha-GGUF/blob/main/zephyr-7b-alpha-Q4_0.gguf) | Q4_0 | 4 | 4.11 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [zephyr-7b-alpha-Q4_K_M.gguf](https://huggingface.co/second-state/Zephyr-7B-Alpha-GGUF/blob/main/zephyr-7b-alpha-Q4_K_M.gguf) | Q4_K_M | 4 | 4.37 GB| medium, balanced quality - recommended |
| [zephyr-7b-alpha-Q4_K_S.gguf](https://huggingface.co/second-state/Zephyr-7B-Alpha-GGUF/blob/main/zephyr-7b-alpha-Q4_K_S.gguf) | Q4_K_S | 4 | 4.14 GB| small, greater quality loss |
| [zephyr-7b-alpha-Q5_0.gguf](https://huggingface.co/second-state/Zephyr-7B-Alpha-GGUF/blob/main/zephyr-7b-alpha-Q5_0.gguf) | Q5_0 | 5 | 5.00 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [zephyr-7b-alpha-Q5_K_M.gguf](https://huggingface.co/second-state/Zephyr-7B-Alpha-GGUF/blob/main/zephyr-7b-alpha-Q5_K_M.gguf) | Q5_K_M | 5 | 5.13 GB| large, very low quality loss - recommended |
| [zephyr-7b-alpha-Q5_K_S.gguf](https://huggingface.co/second-state/Zephyr-7B-Alpha-GGUF/blob/main/zephyr-7b-alpha-Q5_K_S.gguf) | Q5_K_S | 5 | 5.00 GB| large, low quality loss - recommended |
| [zephyr-7b-alpha-Q6_K.gguf](https://huggingface.co/second-state/Zephyr-7B-Alpha-GGUF/blob/main/zephyr-7b-alpha-Q6_K.gguf) | Q6_K | 6 | 5.94 GB| very large, extremely low quality loss |
| [zephyr-7b-alpha-Q8_0.gguf](https://huggingface.co/second-state/Zephyr-7B-Alpha-GGUF/blob/main/zephyr-7b-alpha-Q8_0.gguf) | Q8_0 | 8 | 7.70 GB| very large, extremely low quality loss - not recommended |